Search is no longer just about ranking for keywords and waiting for clicks
Across industries, a growing number of businesses are noticing the same shift.
Customers are discovering brands through AI generated summaries, answer engines, and conversational tools before they ever visit a website.
In many cases, they are not browsing in the old way at all.
They are asking tools like ChatGPT, Google AI Overviews, Perplexity, Claude, Gemini, and similar AI powered discovery tools to shortlist options, compare suppliers, explain products, and narrow decisions.
That changes the shape of discovery.
The traditional model of search encouraged businesses to optimise for visibility in a list of results.
The new environment increasingly rewards businesses that can be understood, trusted, and confidently referenced by AI systems.
In practical terms, that means:
- clearer positioning
- more structured content
- stronger trust signals
- more direct answers to real customer questions
To understand how this shift is playing out in practice, we reviewed responses from founders, marketers, and business owners across SaaS, local services, ecommerce, healthcare, legal, logistics, agencies, education, and B2B services.
The specific experiences differ, but the overall pattern is becoming difficult to ignore.
The main takeaway is not that AI is replacing search.
It is that AI is changing the first layer of discovery.
For many businesses, that first impression now happens inside an answer, a summary, a recommendation, or a shortlist generated somewhere else.
What stood out in the responses
Reported by Playwise HQ over the previous three months.
Reported by uSERP across the last 30 days.
Reported by Chronicle Technologies as a recent pattern.
Reported by RHILLANE Marketing Digital in Q1 2026.
The pattern is not just traffic loss
These figures come from individual contributors and illustrate how AI discovery is shifting quality, visibility, and attribution.
New customers traced back to AI based conversations before direct contact.
Leads in the last 30 days attributed to AI search.
Recent inbound leads referencing AI generated summaries.
Q1 2026 inbound leads mentioning AI tools as the first touchpoint.
Discovery is shifting from clicks to answers
One of the clearest patterns across the responses is that AI is moving discovery earlier in the decision process and compressing it into fewer steps.
Instead of opening ten tabs, comparing multiple websites, and slowly building confidence, customers are increasingly asking AI tools for a direct answer.
They want to know:
- which provider is best for a specific use case
- what solution fits their needs
- what product is right for a particular scenario
- which company is worth contacting
In that environment, the business that gets cited, summarised, or recommended has a major advantage before the user ever reaches a website.
This matters because AI driven discovery does not always produce a traditional click.
A prospect may see a brand mentioned in an AI response, remember the name, and later search for it directly.
They may arrive with a stronger sense of who the company is, what it does, and whether it is relevant to them.
In some cases, they may contact the business without ever browsing the site in a conventional way.
Several respondents described exactly that.
Some reported prospects saying they had found them through ChatGPT or another answer engine.
Others noted that leads were arriving already informed, asking more specific questions, and moving faster through the buying journey.
Even where top of funnel traffic was flatter or declining, businesses often felt that the people who did arrive were more qualified.
That is a major shift.
Visibility is no longer only about who appears in search results.
It is increasingly about who becomes the answer.
That is closely tied to the wider move toward zero click search, where discovery and evaluation often start before a site visit happens.
In AI mediated discovery, the winner often gets selected before the website visit happens.
Source: Joey Rahimi full quote
The research phase is getting shorter
A second strong pattern is that customers are arriving earlier in the funnel, but further along in understanding.
Many contributors described prospects who now come into a call, demo, quote request, or enquiry with more context than before.
Instead of asking broad introductory questions, they ask specific, practical, or technical ones.
They may already know:
- the category
- the likely price range
- the implementation constraints
- the alternatives
- the objections they want to resolve
That changes what the early sales conversation looks like.
Historically, many businesses used their website and search presence to attract exploratory traffic.
A prospect would land on the site, read around, compare options, and gradually self educate.
Today, AI tools often do part of that education first.
That means discovery is not disappearing, but it is becoming more compressed.
The exploratory stage is increasingly happening inside AI tools rather than on brand websites.
For some businesses, this is creating a more efficient buying journey.
Prospects are arriving better informed and with stronger intent.
Several respondents described shorter sales cycles, faster qualification, and more commercially valuable conversations.
Instead of spending the first interaction explaining basic category information, teams are often able to move more quickly to fit, timing, scope, or implementation.
That does not mean every business is benefiting equally.
It does, however, suggest that low quality traffic is becoming less valuable than it once was, while high clarity content is becoming more valuable.
How AI is reshaping the early buying journey
Open ended browsing
The user explores many pages, compares options manually, and slowly builds confidence across multiple sessions.
Condensed evaluation
The user asks a question, receives a shortlist or summary, then enters the market with stronger context and narrower intent.
Education before first contact
AI handles part of the category education, so the website visit often happens later and with fewer basic questions.
Faster qualification
Teams spend less time on category explanation and more time on fit, constraints, timing, pricing, and implementation.
Fewer clicks does not always mean lower value
A recurring theme in the responses is that traditional traffic metrics are becoming less reliable as a standalone measure of discovery strength.
A number of contributors reported fewer clicks or softer top of funnel traffic, especially on informational content.
That is not surprising.
If AI systems answer the question directly, summarise the information, or present a shortlist without requiring further browsing, some users will not click through at all.
That creates an obvious concern.
If traffic falls, is visibility falling too?
Not necessarily.
Many of the responses suggest a more nuanced picture.
While broad informational traffic may weaken, the traffic that remains can be more intentional and better qualified.
Some businesses are seeing fewer casual visitors but stronger enquiries.
Others are noticing that prospects who do arrive are more ready to buy, more confident in their choice, or more focused on a specific outcome.
In other words, the old model rewarded visibility that generated visits.
The new model may increasingly reward visibility that generates conviction.
That shift matters for how performance should be measured.
Businesses that focus only on sessions, rankings, and click volume may miss what is changing underneath.
Metrics like:
- branded search demand
- direct enquiries
- conversion quality
- speed to close
- assisted conversions
- sales readiness
may become more useful signals of whether AI driven discovery is working in your favour.
If you want a more detailed framework for that shift, see our guide to SEO metrics after AI Overviews and how to track AI search visibility.
Source: Patrick Beltran full quote
Clear, direct, structured content is outperforming vague copy
If there is one message that appears repeatedly across the responses, it is this:
clarity matters more.
Businesses are seeing better results when their content is easy to interpret, easy to quote, and easy to trust.
That includes content that:
- answers real questions directly
- explains what the business does in plain language
- outlines who it is for
- sets expectations clearly
- uses structure that AI systems can parse more easily
That does not necessarily mean businesses need to produce huge amounts of content.
In fact, several responses suggest the opposite.
What seems to matter more is whether the content is useful, specific, and grounded in genuine expertise.
The strongest themes here include:
- direct answers instead of vague introductions
- scenario based pages rather than broad keyword targeting
- clear service definitions
- FAQ and comparison content
- explicit positioning
- named expertise, evidence, proof points, and examples
- strong internal consistency across pages and platforms
This aligns with the broader direction of AI discovery.
Answer engines do not only look for the page that contains a phrase.
They try to identify sources that appear credible, relevant, structured, and aligned with the user’s intent.
Generic marketing language may still sound polished to humans, but it is often less useful when an AI system is trying to extract a concise, reliable answer.
A business that explains its offer with precision is easier to surface than one that hides behind broad claims and vague agency style language.
We cover that principle in more detail in what makes content citeable in AI answers and AI friendly content structure.
What AI friendly content tends to reward
This is a directional editorial summary from the responses, not a measured platform score.
Pages that answer the user directly were the most consistently mentioned winners.
Narrow scenario pages repeatedly outperformed generic keyword pages.
Real outcomes, examples, and authorship improved trust and citeability.
Generic marketing language was repeatedly described as less useful in AI discovery.
Specificity is becoming a competitive advantage
A related insight is that specificity appears to be outperforming generality.
Many contributors said that AI driven discovery is rewarding narrower, more detailed content.
Instead of generic pages aimed at broad head terms, businesses are finding more value in pages that address very particular questions, use cases, scenarios, industries, local needs, or implementation details.
This makes sense.
AI tools are often most useful when users ask detailed questions.
The more specific the question, the more likely the engine is to rely on sources that speak directly to that scenario.
A broad page about marketing services may be less useful than a page answering:
- how long SEO takes for a new ecommerce site in a competitive market
- which claim scenario is likely to qualify
- what product fitment works for a precise use case
- what a local service customer should expect in a particular situation
Specificity also creates a stronger trust signal.
A business that publishes real examples, named outcomes, practical limitations, relevant comparisons, and credible detail is easier to believe.
Many respondents explicitly described AI systems appearing to favour content that demonstrates real experience rather than simply repeating keyword variations.
This is especially relevant for smaller businesses.
In traditional search, larger brands often had structural advantages in authority, backlinks, and general market presence.
In AI mediated discovery, smaller businesses can sometimes compete more effectively when they have clearer niche positioning and more useful expert content.
That is one of the reasons we keep pointing businesses back to topical authority for AI search and content strategy for AI search.
Smaller businesses can still win AI discovery when they explain a narrow offer better than bigger brands explain a broad one.
Trust signals still matter, especially for local businesses
Although much of the discussion around AI discovery focuses on content, the responses also show that trust signals remain central, particularly for local and service based businesses.
For these businesses, discoverability is not just about what is on the website.
It is also shaped by:
- business listings
- review quality
- review volume
- category consistency
- location signals
- Google Business Profile health
- the accuracy of business information across the web
That matters because AI tools do not operate in isolation.
They interpret a business through a wider footprint.
If a company’s service descriptions, locations, reviews, categories, and authority signals are inconsistent, that weakens confidence.
If those signals are aligned, visibility tends to improve.
Several responses pointed to the importance of:
- complete and accurate Google Business Profiles
- consistent local citations
- real client reviews
- clear service and location pages
- proof of expertise
- practical FAQs that match how customers actually ask questions
This is a reminder that AI discovery is not a separate channel floating above the rest of digital marketing.
It is shaped by many of the same foundational signals that help businesses appear credible in search, maps, and local intent journeys.
The difference is that these signals are now also feeding summarisation, comparison, and recommendation systems.
If you want a more technical view of that foundation, our articles on entity SEO for AI search and citation engineering break down why consistency across the web matters.
Source: Kim McNeil full quote
AI is changing what good SEO looks like
A useful way to read the responses is not that SEO is over, but that its centre of gravity is shifting.
The classic SEO model often focused heavily on rankings, keywords, clicks, and page level optimisation aimed at search results pages.
Those things still matter, but they are no longer enough on their own.
Businesses now need to think about whether their content is understandable outside the context of their website, whether it can be quoted accurately, whether their expertise is visible in a summarised format, and whether their brand is easy for AI systems to categorise and explain.
That changes the practical question from:
How do we rank for this term?
to:
How do we become the clearest and most trusted answer to this question?
That is a different discipline.
It requires businesses to think more carefully about:
- entity clarity
- positioning
- structured information
- experience based content
- trust and consistency
- scenario based education
- commercial intent alignment
- conversion journeys for better informed visitors
In that sense, AI discovery is not rewarding shortcuts.
If anything, it is making superficial optimisation less useful.
Many of the responses suggest that businesses are benefiting when they publish better explanations, sharper service definitions, more honest content, clearer outcomes, and stronger examples.
That is not a trick.
It is simply better communication, supported by better digital foundations.
If you want the broader strategic framing, our posts on GEO vs SEO vs AEO and building AI search authority go deeper.
The same shift also overlaps with how AI answers are built, because retrieval, source selection, and summarisation all influence whether your business gets mentioned at all.
What good SEO increasingly includes in AI discovery
Can the business be summarised accurately?
Clear category language, sharp differentiation, and obvious fit are now central, not optional.
Can the content be extracted safely?
Scannable headings, direct answers, FAQs, comparisons, and clear definitions make reuse easier.
Can the source be trusted?
Reviews, case studies, expertise, authorship, citations, and consistency reinforce selection confidence.
Does the page convert informed visitors?
The visit often starts later, so the page must validate fit fast and remove friction for higher intent users.
The businesses gaining from AI discovery are not all the same
It is also worth noting that the responses do not show a single universal outcome.
Some businesses are clearly benefiting more than others.
Local services, niche B2B companies, SaaS providers with strong documentation, agencies with clear positioning, and businesses with scenario based educational content seem particularly well placed to gain traction.
Companies that can articulate what they do with precision and back it up with clear proof are often seeing stronger outcomes.
On the other hand, businesses that relied heavily on broad informational traffic may feel more disruption.
If an AI tool now answers the question directly, some of that traffic will not return.
That is especially true for generic top of funnel content that offers little beyond what an AI summary can easily reproduce.
This does not mean those businesses are doomed.
It means the value of their content strategy needs to be rethought.
The goal is not simply to attract visits for any query.
It is to be visible where trust, differentiation, and purchase readiness are building.
That is a more demanding standard, but it may also be a healthier one.
What businesses should do now
For organisations trying to adapt, the responses point to a fairly practical set of priorities.
1. Tighten your positioning
Many businesses still describe themselves in broad, interchangeable language.
AI systems struggle to surface vague offers clearly.
A business should be able to explain what it does, who it serves, and why it is different in a way that is direct, consistent, and easy to repeat.
2. Review core pages for clarity
Service pages, product pages, category pages, about pages, and local pages should answer obvious customer questions without forcing the visitor to infer the meaning.
If the page is full of slogans and abstractions, it will be harder for both humans and machines to use.
3. Create content that reflects real buyer questions
FAQ content, comparison pages, use case pages, cost explanations, implementation guides, local service explanations, and scenario based educational content are all more aligned with how AI mediated discovery works than generic blog filler.
4. Strengthen trust signals
Reviews, case studies, named expertise, clear authorship, accurate listings, entity consistency, and evidence based claims all help reinforce whether a business looks reliable enough to cite.
5. Rethink measurement
Traffic matters, but it is not the whole story anymore.
Businesses should also monitor lead quality, branded search, conversion intent, sales readiness, and any evidence that prospects are discovering them through AI summaries or recommendation layers.
6. Test what the market sees
Ask ChatGPT, Google AI tools, Perplexity, and other platforms how they describe your business, your category, and your competitors.
That output is increasingly part of your public facing discovery layer, whether you actively manage it or not.
Need help improving AI search visibility?The real opportunity is not more content. It is better signal clarity
One of the most useful conclusions from the responses is that AI discovery is not simply rewarding more volume.
It is rewarding stronger signal clarity.
Businesses do not need to publish endless pages just to appear active.
They need to communicate more cleanly.
They need content that is easier to interpret, easier to verify, and more helpful in real decision making.
They need digital footprints that reinforce, rather than confuse, what they are and why they matter.
That is why many of the best performing examples in this roundup do not come from giant brands.
They come from businesses that know their niche, explain it clearly, and publish information that reflects genuine experience.
The discovery layer is changing.
The businesses that benefit most are not necessarily the ones shouting the loudest.
They are the ones making it easiest for AI systems and customers alike to understand exactly what they do.
Final thought
AI is not removing the need for trust, authority, relevance, or credibility.
It is compressing the way those things are evaluated.
For years, businesses competed for a place in a list of results.
Increasingly, they are competing for inclusion in a small set of trusted answers.
That is a different type of visibility, and it demands a different level of clarity.
The businesses that adapt well are likely to be the ones that treat AI discovery not as a technical trick, but as a communication challenge.
If your business can answer the right questions clearly, specifically, and credibly, you are far more likely to be discovered in the moments that now matter.
Frequently Asked Questions
Quick answers to the practical questions businesses ask when adapting to AI driven discovery.
Is AI replacing SEO?
Is AI replacing SEO?
No. AI is changing how SEO creates value. Rankings still matter, but businesses now also need to become sources that AI systems can understand, trust, and reference inside summaries and answer experiences.
Why are clicks sometimes falling while lead quality improves?
Why are clicks sometimes falling while lead quality improves?
Because AI tools often answer part of the research phase before the website visit. Some users never click, while others arrive later with stronger intent, better context, and more specific questions.
What content tends to perform best in AI discovery?
What content tends to perform best in AI discovery?
Clear, direct, structured content tends to perform best. That includes scenario pages, FAQs, comparisons, implementation guidance, cost explainers, local service pages, and pages with real examples, proof, and named expertise.
What should businesses measure besides traffic?
What should businesses measure besides traffic?
Traffic still matters, but it should be complemented by branded search growth, direct enquiries, conversion quality, speed to close, assisted conversions, and direct evidence that prospects are mentioning ChatGPT, Perplexity, Gemini, or Google AI Overviews.
Expert responses included below
The following responses were selected from contributors who shared practical observations on how AI is affecting visibility and customer discovery in their business.
These quotes are presented in their original or lightly edited form for clarity.
Open contributor quote archive and source links
Pratik Singh Raguwanshi - Manager, Digital Experience, LiveHelpIndia
Industry: Digital experience
Website: Not provided
LinkedIn: Not provided
The way that people find and discover content has changed. Rather than looking for an item to purchase or service to use, consumers now look online for answers first. With this change, businesses can no longer merely target specific keyword phrases to gain exposure on search engines. To remain visible and relevant, you must create content that is well structured and provides direct, concise answers to their questions. If your content fails to do that, you may not get the click at all.
Although this change in consumer behaviour appears daunting, it actually creates an opportunity for brands to differentiate themselves through clarity. Concentrate on addressing the specific, detailed questions your prospects are asking before they ever reach your website, and you can build trust long before any sales conversation begins.
Mike Carson - Sales Manager, Pilgrim Harp Co
Industry: Custom contract manufacturing and sourcing
Website: pilgrimharp.com
LinkedIn: Mike Carson
By continuing the SEO work we've been doing, we've started seeing the payoff in both organic search and AI search. It began as just a few sessions from ChatGPT, but over the last year that has grown to more sessions from more AI tools. We've also seen this traffic turn into qualified leads, which is very encouraging. During initial sales calls, we'll occasionally hear prospects say things like, "you show up when I search for [keyword] in ChatGPT." We're glad we're visible and like what we're seeing come in from AI search.
Paul Towers - Founder & CEO, Playwise HQ
Industry: B2B SaaS
Website: playwisehq.com
LinkedIn: Paul Towers
At Playwise HQ, we have noticed a direct correlation between inbound lead volume and our ability to be surfaced in ChatGPT, Claude, and Google AI Overviews. We approach it in much the same way as traditional SEO: create high quality content that addresses the common questions a prospect is trying to answer. We have found that this has directly increased the number of times our content is used as a source for AI answers, and when a user asks a follow up question about what software may exist to help them with that challenge, Playwise HQ is being recommended regularly. Over the past three months, approximately 60% of all new customers originated from AI based conversations the prospect had before coming to our website and contacting us directly.
Carlos Correa - Chief Operating Officer, Ringy
Industry: CRM / sales technology
Website: Not provided
LinkedIn: Not provided
AI will change not only the platforms through which consumers discover businesses, but also the nature of the social proof they see. What appears to be a grassroots wave of brand feedback can instead be manufactured at scale by networks of AI generated brand bots, and the artificial sentiment can appear real to consumers.
We've seen industry examples that appear to show public rejection of a brand rebrand, but in fact they are bot assisted echo chambers. In one crisis, while the initial frustration was driven by a few real humans, almost half of the calls for social boycott in the first 24 hours were generated by fake profiles.
At the height of the crisis, 70% of the posts used duplicated messaging, showing clear coordination and fingerprints of algorithmic manipulation. Because the brand was unable to distinguish the genuine from the artificial quickly enough, this amplified cycle of discovery led to a 10.5% drop in market cap over a few days.
If you manage search visibility, social signals, and reputation, the lesson is to validate the outrage. If you overcorrect your marketing strategy at the first sign of a backlash, particularly one that is AI amplified, you may end up hurting your brand with actual buyers while training the algorithms that these manipulation campaigns are effective. Integrate bot detection filters into your crisis playbook.
Paul Stratch - Owner, Trash Daddy Dumpsters
Industry: Dumpster rental service provider
Website: trashdaddydumpsters.com
LinkedIn: Paul Stratch
I think AI is changing the way all customers find businesses, especially with AI integration into browsers like Chrome or Edge. It still comes down to reputation and authority, which take time to build. In our industry, dumpster rental service, AI hasn't had as much impact as in some other industries, but it still has reduced the traffic and volume of customers that see us.
Neil Webster - Founder, Mills Shelving
Industry: Retail shelving and shopfitting solutions
Website: millsshelving.com.au
LinkedIn: Neil Webster
AI is changing discovery from keyword searching to solution based searching. We're seeing more customers come in already informed, asking specific questions about shelving layouts, load capacity, or fit out options because they've used AI tools to research beforehand.
That shifts the focus from just being visible in search to being the most credible and practical answer when customers are comparing options.
Michelle Garrison - Co-Founder & AI Strategist, We & Goliath
Industry: Event management
Website: weandgoliath.com
LinkedIn: Michelle Garrison
AI has become the gatekeeper for businesses looking to attract their next customer. Now more than 30 to 40 percent of buyers look to ChatGPT or Perplexity as part of their research process, asking, "What is the best X?" Instead of a series of blue links from Google, customers are presented with three to five summarised options. If you do not make it onto that shortlist, you will not be seen.
FAQs, comparison guides, and "how to choose" articles have more value today than generic keyword stuffed blogs did yesterday. When content reads like an actual answer to an actual question, it gets surfaced. When it reads like it was written for search engines rather than people, it does not.
Steven Paul Matsumoto - Founder & Chief Strategist, Stigmare Inc
Industry: GEO / digital strategy
Website: Not provided
LinkedIn: Not provided
I had a roofing company prospect for our GEO services relay a story the other day. He got a text from a potential customer around 9 PM containing a very technical question, the kind nobody had ever asked before. It turned out that the customer had fed all the quotes they had received into an LLM to determine which bid to go with. They chose another roofing company because that bid specifically addressed the technical question the AI told them to ask, even though my prospect had reassured them it was covered. The LLM could not tie anything about that technical question to my prospect's company, and they lost the work.
Deepank Vora - Founder & CEO, Bytesalt
Industry: AI QA testing / B2B SaaS
Website: bytesalt.com
LinkedIn: Deepank Vora
At Bytesalt, we provide an AI quality assurance teammate for software development teams. I've noticed that founders evaluating QA tools increasingly arrive having already asked ChatGPT or Perplexity for QA tool recommendations or research about our company. They arrive informed, which shortens the sales conversation. The real shift is that being clearly described and well documented online now matters more than ever, because that is what AI pulls from.
Tyler Archibald - Co-Owner, Pro Construct Digital
Industry: Web design, development, and SEO
Website: proconstructdigital.com
LinkedIn: Tyler Archibald
Google AI Overviews allow users to get answers without ever leaving the search results, making traffic harder to capture for business models that relied on that style of content to convert visitors. Other AI search tools act more like a digital matchmaker for clients and businesses. LLMs like ChatGPT and Gemini cite and direct users toward the most relevant sources for highly specific queries that traditional search may not bring them to.
Joey Rahimi - Managing Partner, Woodside Ventures
Industry: Ecommerce and marketing services
Website: woodsideventures.com
LinkedIn: Joey Rahimi
AI is shifting discovery from clicks on a list of links to customers getting summarised answers in tools like ChatGPT and Google AI Overviews, so we focus on being the source those systems can confidently quote. At Woodside Ventures, we have adjusted how we present our expertise by using clear, consistent descriptions of who we are and what we do, and by structuring content with direct answers and FAQ style sections that are easier for AI to interpret. The impact we see is that prospects often arrive with more defined questions and a stronger baseline understanding, because they have already been pre educated by AI summaries.
Oscar Moncada - Co-Founder & CEO, Kalos by Stratus10
Industry: Cloud cost and security management
Website: stratus10.com/kalos
LinkedIn: Stratus10
AI has changed how customers discover us by automating prospect research and enabling much more targeted, personalised outreach. We replaced manual prospecting and messaging with an n8n automation that uses Google Search API, Apify, ChatGPT, Perplexity, Anthropic, and Pinecone to scrape and summarise prospect and company insights. That workflow identifies best matched targets and drafts initial outreach so our team can focus on quality over quantity and improve relevance.
Mike Khorev - SEO and AI Visibility Consultant, Mike Khorev
Industry: SEO / AI visibility consulting
Website: Not provided
LinkedIn: Not provided
Artificial intelligence is changing the way consumers find and purchase products. Businesses must no longer think only about obtaining a click from search results. Instead, they must become trusted sources of information that AI services such as ChatGPT and Google AI Overview will reference when formulating their responses and recommendations.
That means businesses need quality content with clearly defined structure, clear and concise answers, unique insight, and a trustworthy brand if they expect to earn this kind of visibility.
Consumers are increasingly using AI to narrow down suppliers and research solutions before they ever visit a website. Businesses therefore need in depth topical coverage, an organised website structure, and content designed around the questions customers ask before visiting the site. Brands that build content ecosystems, rather than isolated pages, will be rewarded by AI tools for their depth, clarity, and consistency.
Lin Meyer - CEO, Crucial Exams
Industry: Education / exam preparation
Website: crucialexams.com
LinkedIn: Not provided
AI has transformed how individuals discover products and services by changing how they search online. Searching has shifted from a broad based approach to a more precise and focused one driven by very specific, high intention questions.
For Crucial Exams, that means potential users often begin with answer engines and AI summarised content and are already focused on a specific need such as timed practice tests, flashcards, or completing a certification path. That gives businesses a different role. They no longer focus only on website rankings for keywords, but on becoming the clearest and most credible source that an AI system can link to or summarise.
What I have seen repeatedly is that AI rewards specific rather than general content. The real shift is not that AI will magically drive traffic to thin content. It is that businesses need clearer positioning, deeper topical relevance, and content that directly answers the question the user is asking.
Nikhil Pai - Founder, Chronicle Technologies
Industry: Disability case management software
Website: Not provided
LinkedIn: Not provided
AI is sending us prospects who already know what we do before they ever call. A year ago, the average lead began with, "tell me about your software." Now they say, "I saw your software handles disability case management and integrates with USPS for mail tracking. Does it also do X?"
About 30 percent of our recent inbound leads mention something from an AI generated summary. One law firm administrator told me she used ChatGPT to compare disability case management platforms and our name came up from a blog post. She never visited our site before picking up the phone.
That told me I needed to stop chasing keyword rankings and start writing content that answers the exact questions AI tools pull from. Instead of broad articles about disability law firm software, I am now writing about questions like how small disability firms handle mail tracking without extra staff. Our time from first contact to demo dropped by about two weeks. The sales call changed from an education session to a confirmation.
Dennis Holmes - CEO, Answer Our Phone
Industry: Answering services / local services
Website: Not provided
LinkedIn: Not provided
AI is changing how consumers find products and services. Less research is being done prior to contacting a company, and more consumers are requesting information or lists from AI tools like ChatGPT or Google AI Overviews rather than finding companies through traditional sources. This creates pressure on businesses to be understood easily at first glance, to present accurate and complete service information, to have credible reviews, and to maintain a strong online presence.
For small businesses and service based businesses, there is a significant visibility advantage in keeping listings consistent across channels and maintaining well optimised local pages with credibility signals. But that visibility is inconsequential if someone does not respond rapidly after an enquiry is made. The businesses that benefit most from AI driven discovery will be those that maintain strong online information and respond quickly to inbound demand.
Nirmal Gyanwali - Founder & CMO, WP Creative
Industry: Web performance agency
Website: wpcreative.agency
LinkedIn: Nirmal Gyanwali
AI search engines like Perplexity and ChatGPT have increased our visibility for comparison and cost related queries where we get cited directly in answers. However, our informational blog traffic dropped from thousands to a few hundred monthly visits because AI answers those questions without sending people to our site. We've had to completely rethink content strategy, focusing on building authority in areas where AI tools reference us as sources rather than competing for traffic AI has already captured.
Ioan Istrate - Founder & Principal Engineer, Tripvento
Industry: B2B hotel rankings API
Website: tripvento.com
LinkedIn: Ioan Istrate
The discovery process is no longer "find the best hotel website," but "find me the best hotel for my particular trip." We have built an MCP server that allows AI travel agents to talk to our ranking API, so if someone wants hotel suggestions from Claude or another assistant, they do not scrape outdated review sites, they talk to Tripvento's API.
The biggest change is that AI agents prefer data they can query, not static websites, so APIs with intent based endpoints are becoming the new SEO. If you are not accessible to AI agents, you are invisible to one of the fastest growing discovery mechanisms.
Heinz Klemann - Founder & Senior Sales & Marketing Consultant, BeastBI GmbH
Industry: Data driven marketing agency
Website: beast.bi
LinkedIn: Heinz Klemann
Just because we see a drop in traffic on top of funnel keywords due to AI Overviews and AI search does not mean everything is collapsing. We still see very similar results for bottom of funnel and money keywords, such as "agency for X" or "agency + city." Those remain stable, so we've doubled down on decision stage intent and the content that supports it. We also focus more on complex how to topics that cannot be easily answered by a simple AI response.
Arsen Misakyan - CEO & Founder, LAXcar
Industry: Transportation services
Website: laxcar.com
LinkedIn: Arsen Misakyan
There is a shift from "search and click" to "search and decide." We are seeing more intent and fewer clicks. Our clients are calling us knowing exactly what they want.
It is obvious to see in practice. Clients call us already referencing specific services, pricing, and logistics. AI is filtering them. It is not that there is less business. It is that there is more quality. We see less traffic, but more conversions.
Ankit Prajapati - Digital Marketing Consultant, R for Rabbit
Industry: Digital marketing
Website: Not provided
LinkedIn: Not provided
We've seen a clear shift. People now get answers directly from AI tools, so fewer clicks come to the site, which feels strange at first. But the users who do arrive are more ready and already informed, so conversion feels better.
Content that is simple and direct gets picked more often by AI systems. The focus is less on ranking tricks and more on clear answers that actually help.
Kim McNeil - Founder, Hatchify
Industry: Digital marketing
Website: hatchifymarketing.com.au
LinkedIn: Kim McNeil
AI is changing discovery by favouring businesses with clean, consistent, and easily verifiable information. One of the biggest wins for our clients has been implementing ongoing audits of their Google Business Profiles, location pages, and citations to eliminate inconsistencies that reduce AI trust. In many cases, simply fixing mismatched data and strengthening review signals has led to noticeably higher visibility in AI Overviews without increasing ad spend.
Andrew Franks - Co-Founder, Reclaim247
Industry: Automotive finance claims
Website: reclaim247.co.uk
LinkedIn: Not provided
One trend we are noticing is customers showing up much more educated. They'll often quote AI chatbots that have summarised common mis selling issues within car finance before they've even spoken to us. This has shifted the discovery phase from "who ranks first" to "who is referenced or trusted by AI," which is an extremely different playing field in a heavily regulated space. The team has placed large emphasis on producing factually accurate, compliance driven content that AI tools deem trustworthy, rather than simply keyword optimisation.
Operationally, one tactic we've implemented with success is formatting our content around claim scenarios and outcomes. That has allowed our content to be surfaced more often within AI answers. While attribution is still difficult, we've seen noticeably stronger intent from inbound leads when they mention they've done research through AI.
Chris Roy - Product & Marketing Director, Reclaim247
Industry: Digital marketing / automotive claims
Website: reclaim247.co.uk
LinkedIn: Not provided
Artificial intelligence is shortening the discovery process. We're already seeing this across search with summarised answers being provided before users click any results. We've also seen early evidence that clicks and traditional SEO performance are being diluted by AI. We are receiving less traffic from search, but the visits we are getting are more qualified because these users have likely already vetted their options through an AI experience.
We've made progress by aligning our content more with real questions and clearly defining our entities, which has led to more mentions in AI driven answer boxes. We may not always get explicit attribution for those mentions, but we have seen increases in conversion rates from organic traffic, which suggests these are more qualified discoveries.
Shannon Smith O'Connell - Operations Director, Reclaim247
Industry: Claims management / operations
Website: reclaim247.co.uk
LinkedIn: Not provided
Operationally, AI is also impacting discovery before customers enter our pipeline. AI generated content is creating assumptions and more pointed questions from potential customers as they enter the funnel. Our teams need to field more informed enquiries with higher precision and consistency from the start. We've had to adapt internal workflows and make sure clients are being told information that is compliant and consistent with what they may already have read through AI platforms.
For example, we've improved knowledge bases and response templates so our frontline teams can field smarter customer enquiries with more confidence. Anecdotally, we believe this has led to faster discovery conversations with fewer roadblocks.
Jeremy Moser - CEO, uSERP
Industry: Link building agency
Website: userp.io
LinkedIn: Jeremy Moser
36% of our leads in the last 30 days came from AI search. We are not doing anything revolutionary. We are just executing the fundamentals consistently. That is still about 95% of SEO and GEO: good content, good links, and good brand building.
Ryan Pittillo - Franchise Owner, ProMD Health Bel Air
Industry: Medical aesthetics
Website: promdbelair.com
LinkedIn: Ryan Pittillo
As a franchise owner and head football coach, I've seen AI shift discovery from static searches to interactive game day style previews. Customers are no longer just looking for a list of services. They are looking for personalised certainty before they ever step into the clinic.
We've integrated an AI simulator from Entity Med that allows potential patients to visualise their own post treatment results for procedures like Botox or fillers. That technology has become a primary discovery driver as AI driven answer engines prioritise businesses that offer high utility, interactive data over simple text descriptions.
Alex Staatz - Founder, Rival Ink Design Co.
Industry: Powersports accessories / custom graphics
Website: rivalinkdesignco.com
LinkedIn: Alex Staatz
AI search and answer engines are helping riders discover us by matching specific technical needs, like our e bike kits or Beta graphics, directly with our niche catalogue. These tools are much better at connecting our custom design services to riders who describe a specific style or personality rather than just typing keywords.
This shift rewards our 20 years of industry experience by surfacing our premium materials and practical expertise to riders who value depth and specificity.
Jacob Reese - Vice President, Standard Plumbing Supply
Industry: Wholesale distribution
Website: standardplumbing.com
LinkedIn: Jacob Reese
Having worked every role from warehouse sweeper to VP, I've seen our customers move from physical catalogues to AI driven answer engines that prioritise specific inventory availability.
AI Overviews now frequently surface our 150 plus locations when contractors query complex technical specs. This technology has also boosted our vendor managed inventory enquiries by identifying our managed sites as proof of regional logistics strength. By emphasising technical specs in our digital data, we're making sure AI recommends us to professionals who need to win bids through reliability rather than lowest price.
Divyansh Agarwal - Founder, Webyansh
Industry: Web design and Webflow development
Website: webyansh.com
LinkedIn: Divyansh Agarwal
AI discovery has shifted the focus from broad keywords to high fidelity technical readability. For our B2B SaaS and AI clients, we now prioritise deep schema markup in Webflow to help answer engines accurately interpret and cite complex service hierarchies.
We are also seeing that real time data integration via APIs is crucial for visibility in AI search. Interactive tools like ROI calculators and AI chatbots are becoming primary discovery triggers because they transform a site into a dynamic resource that AI search engines recognise as an authoritative source for personalised user solutions.
Jamie Kothe - Founder & CEO, DSDT College
Industry: Vocational education
Website: dsdt.edu
LinkedIn: Jamie Kothe
AI tools like ChatGPT are surfacing DSDT College in responses to veteran queries such as "MRI tech associate degree without x ray license," driving targeted traffic to our ARRT Primary Pathway programme nationwide.
Our student projects page, showcasing hands on AI video and music production work, appears in answer engines for cybersecurity training project queries, attracting career changers seeking real world portfolios.
Fred Z. Poritsky - Founder, FZP Digital
Industry: Digital marketing agency
Website: fzpdigital.com
LinkedIn: Fred Z. Poritsky
As a "drumming accountant" merging analytical logic with creative web design, I've seen discovery shift from manual SEO to AI driven local presence across maps and apps. We now use automated agents to handle the admin work of updates, helping businesses stay visible to voice assistants and AI search tools.
We are also prioritising zero click discovery by using AI to test headlines and refine FAQ content. This helps ensure our clients' specific expertise is synthesised and cited directly within Google's AI Overviews and other answer engines.
Joseph Riviello - CEO & Founder, Zen Agency
Industry: Digital marketing and web development
Website: zen.agency
LinkedIn: Joseph Riviello
With 22 years in digital marketing, I've shifted Zen Agency's focus from traditional SEO to generative engine optimisation. We prioritise how AI models synthesise data to ensure our clients are the top choice in Google AI Overviews.
Visual discovery is now essential, with younger consumers increasingly preferring visual search over keywords. We use AI vision to optimise product imagery, helping customers find businesses through visual patterns and performance cues.
Matthew Purdom - Director of Web Development, BYTE DiGTL & ELMNTL
Industry: Digital marketing and web development
Website: bytetechnology.com
LinkedIn: Matthew Purdom
AI search tools like Google AI Overviews and ChatGPT are elevating our technically optimised sites, pulling snippets from on page SEO work to answer queries like "Shopify development Minneapolis."
This rewards scalable architecture and structured content because AI systems appear to favour pages whose information is easy to extract and reuse.
John DeMarchi - Founder & CEO, Social Czars
Industry: Crisis communications SEO / reputation management
Website: socialczars.com
LinkedIn: John DeMarchi
Managing crises for high profile CEOs has shown me that AI discovery is transforming search results from a list of options into a single synthesised digital verdict.
Discovery now relies heavily on ground truth style sources that LLMs and answer engines use to construct definitive summaries of an executive's reputation. We have therefore pivoted our strategy toward generative SEO, focusing on high authority media placements that are structured to be the most citable sources for AI Overviews.
Ashur Homa - CEO & Co-Founder, Omni Eclipse
Industry: AEO agency
Website: omnieclipse.ai
LinkedIn: Ashur Homa
AI has fundamentally changed how customers discover businesses, and most businesses have no idea it has happened. We work with companies every day who rank on page one of Google but are completely invisible when someone asks ChatGPT or Perplexity, "who's the best X in Y?"
That is the new front door. We took one client from 1% AI visibility to 45% in a single week with zero ad spend. The opportunity is massive for anyone paying attention, and the window to get ahead of competitors who are not is still wide open.
Nick Stamoulis - President & Founder, Brick Marketing
Industry: Digital marketing agency
Website: brickmarketing.com
LinkedIn: Not provided
As a digital marketing agency, we have been all in on trying to understand how to get into AI search results like ChatGPT and Gemini. As LLMs became more popular, we started seeing less traffic to our company site, which was definitely concerning at first. User behaviour is changing toward Google AI Overviews and AI tools in general.
We have found that through proper citations and consistent messaging, we have been able to show up in AI responses, and these leads are more qualified than regular search leads.
Shahid Shahmiri - Founder & CEO, Marketing Lad
Industry: Digital marketing
Website: marketinglad.io
LinkedIn: Shahid Shahmiri
AI is compressing discovery into a recommendation layer, and that's game changing for us. Success there means packaging our business so it can be easily summarised. We condensed service pages to answer three customer questions directly, listed expert bios with names, published pricing ranges, and added targeted proof points throughout key pages.
Doing that provided AI bots with cleaner data to scrape and left buyers with fewer excuses not to reach out. Traffic can flatten as lead quality increases. That is the part people tend to overlook.
Patrick Beltran - Marketing Director, Ardoz Digital
Industry: Marketing
Website: ardozdigital.com
LinkedIn: Patrick Beltran
AI eliminates the research phase for consumers, which creates the biggest change in our data. When arriving on a site, their decision is already partially made because AI has summarised ten pages of content into one sentence. We saw a 21% decrease in top funnel clicks for blog content within 75 days of AI's wider release, but during the same period we saw an 18% increase in demos driven from those same topics. Visits now jump straight to the evaluation phase.
Chris Roy - Product & Marketing Director, Claimsline
Industry: Accident claims management
Website: claimsline.com
LinkedIn: Not provided
AI is shifting discovery from browsing to pre qualification. In accident claims, we are seeing fewer casual visitors and more people arriving with a clearer understanding of their situation and what they want to do next. They have often already asked an AI tool whether they might have a valid claim before they reach us.
The main change is expectation. People now expect immediate clarity and straightforward answers rather than exploratory content. We have adjusted by focusing on content that mirrors real decision points, so when someone arrives, they feel like they are continuing a conversation rather than starting from scratch.
Alcide Deschesnes - Founder & CEO, One Club Trainer
Industry: Golf training equipment
Website: Not provided
LinkedIn: Not provided
AI discovery tools are helping new golfers find us through the technical details we publish. Our biomechanics data and engineering insights show up more often in AI summaries, which helps serious players understand how the ONE Club Trainer works. Clear, structured explanations now matter as much as keywords, so we focus on content that lets AI engines explain our value precisely and accurately.
Daniel Vasilevski - Founder, Bright Force Electrical
Industry: Electrical services
Website: brightforceelectrical.com.au
LinkedIn: Daniel Vasilevski
AI is starting to shift discovery from traditional search results to instant answers, especially for urgent services like "emergency electrician near me." We've noticed more customers coming in already informed, often referencing things they've read in AI generated summaries or Google's AI Overviews. As a result, we focus more on clear, structured content and strong local authority signals so our business is referenced directly in those answers, not just ranked.
Matt Ruffner - Founder, Opticl
Industry: Digital strategy / AI search
Website: Not provided
LinkedIn: Not provided
We're moving from a world of ten blue links to one where AI delivers a single synthesised answer, which means visibility is now about being the trusted source AI systems cite, not just ranking well. I've seen businesses dramatically improve their AI presence by treating structured data and consistent brand information across the web as foundational infrastructure, not an afterthought. The companies winning in this new landscape are actively testing how platforms like ChatGPT and Google AI Overviews describe their business and adjusting their digital footprint accordingly.
Shoaib Mughal - Founder, Marketix Digital
Industry: Digital marketing
Website: marketixdigital.com.au
LinkedIn: Shoaib Mughal
We're seeing a clear shift where users get answers before they ever click a website, especially through Google AI Overviews. That has reduced traffic on some informational queries, but increased the value of being cited or visible in those summaries.
As a result, we've focused more on high intent commercial pages and structured content that AI systems can easily extract and reference.
Aditya Nagpal - Founder & CEO, Wisemonk
Industry: Marketing and AI driven content strategy
Website: wisemonk.io
LinkedIn: Aditya Nagpal
AI is reshaping how customers find businesses by emphasising relevance and context over traditional search rankings. Tools like ChatGPT and AI driven overviews surface answers that prioritise clarity and actionable insight, which means discoverability now depends on being informative and easily digestible. Businesses can no longer rely solely on keywords. Visibility increasingly comes from creating content that aligns with how AI interprets and delivers information.
Sahil Kakkar - CEO / Founder, RankWatch
Industry: Search software / marketing technology
Website: Not provided
LinkedIn: Not provided
AI discovery is shortening the customer journey in a clear way. Instead of opening many tabs and comparing options, people now ask one question and receive a shortlist. This makes visibility more fragile because missing from that shortlist means losing attention early.
Generic pages are losing influence, while pages with real experience are gaining more trust. A practical approach is to publish clear guidance with real limits, updated dates, and named authors. Building topic clusters also helps systems understand expertise faster.
Vaibhav Kakkar - CEO, Digital Web Solutions
Industry: Digital marketing
Website: Not provided
LinkedIn: Not provided
AI Overviews are changing how people discover information because the awareness stage is now shorter and happens in fewer steps. The first impression often comes from a summary we did not create. We noticed that traffic changes are less important than whether our content gets cited. When our insights appear in summaries or chat responses, clicks may be lower but intent is much stronger.
We focus on creating pages that answer one clear question in a complete way, support each point with simple examples, and avoid heavy marketing language that hides the main idea.
Christopher Pappas - Founder, eLearning Industry Inc
Industry: Digital publishing / learning technology
Website: Not provided
LinkedIn: Not provided
We work in digital publishing with a focus on learning technology and workplace training. We see that AI discovery favours content that is easy to extract and easy to verify. Because of this, we design our pages with clear definitions and simple decision points. We also notice more referral traffic from answer engines when the structure is clean and easy to scan.
We shifted editorial planning to focus on fewer topics and more scenario based guidance. That helps us stay visible in AI summaries without trying to chase every keyword.
Adam Shah - Founder, Heyoz
Industry: AI advertising
Website: heyoz.com
LinkedIn: Adam Shah
AI is shifting discovery from keyword search to intent based answers, where customers often form opinions before visiting a website. We have seen that being referenced in AI generated responses depends more on clear positioning and structured content than traditional rankings alone. It has also made trust signals like consistency and clarity more important across all touchpoints. The key shift is that discovery is becoming less about traffic and more about being contextually included in the right conversations.
Xi He - CEO, BoostVision
Industry: Technology / growth
Website: Not provided
LinkedIn: Not provided
AI is shifting discovery from traditional search results to direct answers, which means fewer clicks but higher intent when users do engage. Businesses are seeing more traffic from AI tools like ChatGPT and Google AI Overviews, especially when their content is clear, authoritative, and well structured. This makes it more important to create content that directly answers questions and builds topical authority, rather than simply targeting keywords.
Joe Spisak - Founder & CEO, Fulfill.com
Industry: Ecommerce logistics marketplace / 3PL technology
Website: fulfill.com
LinkedIn: Joe Spisak
We're seeing something wild at Fulfill.com: brands are finding us through AI search without ever clicking our website. A DTC pet food company told me they discovered us through ChatGPT, asked it to compare 3PL marketplaces, and we were the only neutral platform it recommended. They reached out directly based on that conversation alone.
The shift is dramatic because traditional SEO assumed people would visit your site and browse. Now AI engines digest your content and serve it as answers elsewhere. We've adapted by making our data more structured and our case studies more specific. When Nature Hills Nursery saved $334,000 annually working with a 3PL they found through our platform, we published the exact numbers and methodology. AI loves concrete data it can cite with confidence.
The brands winning right now are treating AI engines like incredibly thorough researchers. Give them substance worth citing and you'll show up in answers. Give them vague promises and you're invisible.
Antony C - Founder & Coach, Coach Days
Industry: Coaching
Website: coachdays.com
LinkedIn: CoachDays
Looking back to when I first started in SEO, AI has quietly shifted discovery visibility from "who ranks first" to "who answers best." As the founder of CoachDays, I'm seeing more customers come through answer engines and tools like ChatGPT, where trust, clarity, and personality matter more than pure SEO or keywords.
AI has also levelled the playing field between small and large players. Small teams can now produce high quality, personalised content at scale, so visibility is no longer about volume, but relevance.
Dora Bloom - Chief Revenue Officer, iotum
Industry: Communications technology
Website: Not provided
LinkedIn: Not provided
AI is changing customer discovery by making it more answer led and less dependent on traditional clicks. Many customers now encounter a business through AI generated summaries in tools like Google AI Overviews or ChatGPT before they ever visit a website, which means visibility depends increasingly on whether a brand is seen as a trustworthy source.
This has made clear, useful, experience based content more important than polished promotional language. Businesses are finding that strong expertise signals, direct answers, and well structured information matter more because AI tools are more likely to surface content that is specific, credible, and easy to interpret outside its original context.
Alex Smereczniak - Co-Founder & CEO, Franzy
Industry: Franchise marketplace / franchising
Website: Not provided
LinkedIn: Not provided
AI is changing how customers discover Franzy by bringing relevant information to attention, sometimes before they even know what they are looking for. Tools like ChatGPT and AI powered search overviews make it crucial that we present franchise opportunities in a way that is easy to explore and use. The impact is faster connections between buyers and brands, helping everyone focus on what actually produces results.
Filip Pesek - CEO / Founder, DonnaPro
Industry: Virtual assistant agency
Website: donnapro.com
LinkedIn: Filip Pesek
AI search has been our biggest organic growth surprise. We're a young company without decades of domain authority, but tools like ChatGPT and Perplexity pull from fresher sources and weigh relevance differently than traditional Google rankings. About 30% of our leads now come through organic channels, and a growing portion of that is AI discovery, with founders literally asking ChatGPT for executive assistant recommendations and finding us.
It is not passive. We invest heavily in creating quality content, building real authority through guest articles and media appearances, and constantly testing what signals these AI tools actually pick up on.
RHILLANE Ayoub - CEO, RHILLANE Marketing Digital
Industry: Marketing agency
Website: Not provided
LinkedIn: Not provided
Six months ago, a client told me they found our agency by asking ChatGPT, "best marketing agency in Morocco for ecommerce." We showed up in the response. I had no idea.
That moment changed how I think about discovery. It is not just Google anymore. Prospects are asking Perplexity, ChatGPT, and Google's AI Overviews to shortlist agencies before they ever visit a website. We tracked this for Q1 2026 and found that roughly 20% of our inbound leads mentioned an AI tool as their first touchpoint. A year ago, that number was close to zero.
We restructured our content to answer specific questions AI tools tend to pull from. Instead of writing a generic page about SEO services in Morocco, we published detailed breakdowns like how long SEO takes for a new ecommerce site in a competitive market, backed by real timelines from client data. Perplexity now cites that page when users ask similar questions.
The biggest adjustment is that we stopped optimising purely for rankings and started optimising for being the answer.
Jesse Fowler - Founder, J&J Plumbing Services
Industry: Plumbing and gas services
Website: jandjplumbingservices.com.au
LinkedIn: Jesse Fowler
For a hyperlocal plumbing business like mine, AI is pushing discovery earlier into the answer layer. The job is not just to rank. It is to be the trusted local source AI and Google can surface. For us, that means suburb specific service pages, a complete Google Business Profile, and strong review signals across Canberra and the surrounding towns, because Google's own local guidance still comes back to relevance, distance, and prominence.
Ankit Sarawagi - CFO, Verloop.io | Curator, CFO Matrix | Founder, Profitjets
Industry: Startup finance and CFO advisory
Website: Not provided
LinkedIn: Ankit Sarawagi
AI discovery tools have quietly shifted where first impressions happen. Founders are finding CFO Matrix and Profitjets through ChatGPT and Google AI Overviews before they ever reach a search results page, and that shift changed how content gets created entirely. The question is no longer whether your website ranks. It is whether your thinking gets cited when an AI answers the question your client just typed. Structured, specific, experience grounded content earns that citation far more reliably than optimised landing pages ever did.
Huang Xiong - CEO & Founder, BELTBUY
Industry: Retail / B2C
Website: beltbuy.co.uk
LinkedIn: Crouse Wong
As a belt retailer, we've noticed that AI is shifting how customers discover products from search keywords to conversational decision making. Tools like ChatGPT and Google AI Overviews prioritise practical content that addresses specific pain points when recommending durable belts, rather than simply displaying a list of products.
That means we must optimise in depth answers to long tail questions such as how to choose a belt size or the best work belts. The focus is no longer on competing for rankings on individual keywords, but on becoming the authoritative source AI recognises as providing the most relevant and structured information.
Jody-Ann Rowe - Founder & CEO, EC Marketing Agency
Industry: Marketing agency
Website: Not provided
LinkedIn: Not provided
AI has significantly changed the way customers find our business, and at first we thought the impact was negative. Our blog post views and website visits were trending down, so we assumed our visibility was declining. What we did not account for was that the brand reputation we had built over the years also meant we were getting featured in more AI Overviews and recommendations on LLMs like ChatGPT. Traditional indicators were declining, but the new discovery metrics were increasing.
Shane Larrabee - President / Founder, FatLab Web Support
Industry: Web support / digital services
Website: Not provided
LinkedIn: Not provided
Six months ago, we made a deliberate shift in our content strategy. Instead of chasing broad keywords, we started writing pages that answered very specific questions with high expertise value: real stories from managing over 200 websites, specific technical problems we've solved, and honest takes on tools and processes we actually use every day.
The goal was to show up in AI search results, not just traditional Google rankings. And it worked, but not in the way we expected. We started getting phone calls from potential clients who told us, unprompted, that AI recommended us. Not Google. Not a referral.
What makes this work is not volume or keyword targeting. It is that AI systems are evaluating credibility differently than traditional search. They are pulling from content that demonstrates genuine experience, not content engineered only to rank.
RUTAO XU - Founder & COO, TAOAPEX LTD
Industry: Technology / product documentation
Website: Not provided
LinkedIn: Not provided
AI search has inverted the discovery funnel. Historically, customers found us through Google Ads and content keywords. Now answer engines surface us based on how well our documentation answers specific questions. When someone asks an AI about solutions to a problem we solve, our technical blog posts and public documentation are increasingly cited as the authoritative source. The businesses that will win on AI discovery are the ones with the clearest, most specific answers to narrow questions in their space.
Ankit Prajapati - Founder, Consultant Ankit
Industry: Consulting
Website: Not provided
LinkedIn: Not provided
We've seen a clear shift. People now get answers directly from AI tools, so fewer clicks come to the site at first. But the users who do come are more ready and already informed, so conversion feels better.
Content that is simple and straight gets picked more often by AI systems. The focus is less on ranking tricks and more on clear answers that actually help.
Louis Ducruet - Founder & CEO, Eprezto
Industry: Insurance technology
Website: eprezto.com
LinkedIn: Louis Ducruet
AI is changing discovery by shifting visibility from clicks to being the source of answers. We're seeing that when our content is structured clearly around real user questions, it gets surfaced more often in AI summaries and answer engines, even when users do not immediately visit the site. That means brand visibility now starts earlier in the journey, and authority matters more than just rankings.
Raphael Larouche - Founder & Digital Marketing Strategist, The SEO Contractor
Industry: SEO / digital marketing
Website: Not provided
LinkedIn: Not provided
AI driven discovery tools like Google AI Overviews and ChatGPT are pulling answers directly from authoritative content, which means businesses with strong SEO and well structured service pages are showing up in AI responses without the prospect ever clicking a traditional search result. We're seeing clients get cited in AI answers for searches like "best roofing contractor in [city]" when they have detailed, optimised content that proves expertise and local authority. The shift is real: if your website does not demonstrate clear expertise, AI tools simply will not recommend you.
Michael Kazula - Director of Marketing, Olavivo
Industry: Affiliate marketing
Website: Not provided
LinkedIn: Not provided
AI is transforming customer discovery in affiliate marketing by improving personalisation, optimising search results, and delivering instant responses to enquiries. Tools like ChatGPT enable users to find relevant affiliate products through natural language interaction, streamlining the discovery process. Additionally, affiliate networks use AI algorithms to analyse search intent, enhancing content strategies and boosting engagement.
Mohammed Kamal - Business Development Manager, Olavivo
Industry: Affiliate marketing
Website: Not provided
LinkedIn: Not provided
AI is transforming customer discovery by enhancing personalisation and search accuracy. AI algorithms analyse user behaviour to provide relevant results and tailored recommendations. For ecommerce brands, instant AI responses can guide potential buyers, streamline decision making, and foster stronger brand connections.
Chongwei Chen - President & CEO, DataNumen
Industry: Data recovery software / enterprise software
Website: datanumen.com
LinkedIn: Chongwei Chen
AI has fundamentally shifted how customers find DataNumen. Our customer surveys reveal that 30 to 40% of new clients now discover our data recovery solutions by directly asking AI platforms like ChatGPT and Gemini, rather than through traditional search engines. AI tools are becoming trusted advisers that recommend specific solutions based on customer problem descriptions, not just keyword matches. For B2B software companies, this means your product needs to perform well when AI evaluates solution quality, not just when Google ranks pages.
Dr. John Hegazin - Owner, Bradenton Implants & Smile Center
Industry: Dentistry
Website: implantssmilecenter.com
LinkedIn: John Hegazin
AI search results and Google AI Overviews have boosted our visibility by surfacing our detailed FAQs on dental implants and visit frequency directly in responses to local queries. Patients now discover us faster through ChatGPT, which cites our site for specifics on sedation options and snap on dentures, skipping generic lists. This drove a strong spike in website enquiries from AI driven traffic over the past six months, with many booking consultations straight after.
Tim DiAngelis - Owner, Lawn Care Plus, Inc.
Industry: Landscaping and hardscaping
Website: lawncareplusma.com
LinkedIn: Tim DiAngelis
In the Boston landscaping market, Google AI Overviews have shifted discovery from simple keyword searches to advice driven queries like "best grass for New England soil."
This has turned our technical blog content into a primary data source for tools like ChatGPT, which now synthesise our expertise to provide users with instant, localised project plans. We've seen more leads arrive already pre sold on our methods because an AI tool summarised our professional guides for them.
Sharon Milani - Co-Founder & Director, DentaMax / NutriFlex
Industry: Pet health and nutrition
Website: nutriflex.co.za
LinkedIn: Sharon Milani
AI is shifting discovery from brand name searches to mechanism focused queries. By structuring our site around the science of biofilm disruption and salivary excretion pathways, answer engines now prioritise our educational content as the definitive source for pet owners.
This evolution rewards our nutrition first strategy by turning technical ingredient analysis into a discovery tool and allowing us to capture highly qualified users during the research phase through evidence based summaries.
Luke Jordan - Owner, iRepair Heating and Air
Industry: HVAC / plumbing
Website: irepairheatingandair.com
LinkedIn: Luke Jordan
AI search tools like Google AI Overviews and ChatGPT are surfacing our detailed guides right in responses to Utah specific queries, driving more targeted traffic to iRepair. As a family owned HVAC and plumbing business, we've seen a strong spike in seasonal tune up calls from customers mentioning AI summaries of our thermostat savings and winter tips. This shifts discovery from generic lists to practical local advice, helping us convert queries into jobs faster than traditional SEO alone.
Jessica Stewart - VP Marketing & Sales, EMRG Media
Industry: Event planning / hospitality
Website: emrgmedia.com
LinkedIn: Jessica Stewart
AI is revolutionising customer discovery for EMRG Media by surfacing our event guides in Google AI Overviews and ChatGPT responses to queries like event marketing trends or corporate event planning in NYC, driving organic traffic to our SEO optimised content.
For The Event Planner Expo, this has meant a surge in registrations from targeted AI searches. We also deploy AI chatbots on our site to handle discovery queries instantly, converting browsers into leads faster than traditional forms.
Aisha Hasan - Lead Injector / Physician Assistant, ProMD Health Ashburn
Industry: Aesthetic medicine and wellness
Website: promdhealthashburn.com
LinkedIn: Aisha Hasan
AI is changing discovery because patients now shop with questions, not service menus. They ask things like, "Can I do Botox conservatively and still raise my eyebrows?" or "How long before an event?" Those AI generated summaries tend to surface providers who publish clear, specific expectations on timing, movement mapping, and aftercare, so our educational pages are often the first touchpoint before someone ever clicks Book.
We also see AI inside the consult. Our Entity Med AI Simulator lets patients preview outcomes, which turns curiosity traffic into higher intent consults because they can visualise a natural result and commit to a staged plan instead of guessing.
Steve Taormino - President & CEO, CC&A Strategic Media
Industry: Marketing psychology / communications
Website: stephentaormino.com
LinkedIn: Steve Taormino
AI search tools like Google AI Overviews and ChatGPT are surfacing our marketing psychology content for queries around buying behaviour triggers, driving more qualified leads than traditional SEO alone. This shift rewards authority in human decision science. Businesses win by creating machine readable, empathy driven content that AI cites as the go to source.
Ryan Miller - Owner & Founder, Sundance Networks, Inc.
Industry: IT services, AI, and cybersecurity
Website: sundancenetworks.com
LinkedIn: Ryan Miller
AI is shifting discovery from rankings to recommendations. Prospects now arrive with a screenshot of a ChatGPT or Google AI Overview answer that already lists the exact stack they think they need. As a security first MSP, that means our first call starts deeper, with less "what do you do?" and more "can you implement this safely next week?"
Practically, the pages that get referenced are the ones that spell out outcomes and constraints in plain language. We've adjusted our site and consult flow to answer those AI shaped questions directly, and it has reduced back and forth on scoping because people self qualify before they contact us.
Josh Preece - Founder, J&A Digital Solutions
Industry: Digital marketing for local service businesses
Website: jandadigital.com
LinkedIn: Joshua Preece
AI driven tools like Google AI Overviews are prioritising optimised Google Business Profiles in local near me searches, pulling our clients to the top with one click calls. One carpet cleaning client saw a 35% jump in qualified leads after we synced their profile data, as AI summaries highlighted their five star reviews. With more than 20 years refining local SEO, we're adapting by building machine readable authority through consistent listings and proprietary ranking tactics.
Madeline Jack - Chief Client & Operations Officer, Blink Agency
Industry: Growth marketing and creative agency
Website: blinkagency.com
LinkedIn: Madeline Jack
AI has shifted discovery from broad keyword matching to proactive behavioural modelling that identifies intent before a search even begins. We use our proprietary AI platform to map signals across 250 million US adults, placing brands in front of high intent audiences with precision. This transforms discovery from a passive search result into a performance driven acquisition engine.
Jose Escalera - CEO, The Idea Farm by VM Digital
Industry: Fractional growth partner / marketing consulting
Website: theideafarm.net
LinkedIn: Jose Escalera
The biggest shift I've noticed is that AI tools are now surfacing businesses based on how clearly they explain what they do and who they do it for, not just keywords. Clients we've helped tighten their messaging have started showing up in ChatGPT and Perplexity responses for niche queries they never ranked for on traditional search.
The practical takeaway is that AI discovery rewards clarity over cleverness. If your website is full of vague positioning and agency speak, the algorithm skips you. If it clearly answers a real buyer question, you get cited.
Stephen Ferrell - Chief Product Officer, Valkit.ai
Industry: Life sciences / AI augmented digital validation
Website: valkit.ai
LinkedIn: Stephen Ferrell
I have spent 25 years in IT governance and GxP quality, and I've seen discovery shift from broad keywords to intent based regulatory problem solving. AI search engines now surface Valkit.ai when engineers query hyper specific technical goals, such as automating trace matrix generation or FDA CSA alignment.
This shift allows us to bypass traditional gatekeepers and reach validation teams exactly when they are looking to collapse project timelines from weeks to hours. By providing machine readable, contextual AI for regulated industries, we've moved from a sales led model to being an AI recommended solution.
William DiAntonio - Founder & CEO, Brand911
Industry: Digital marketing / reputation management
Website: brand911.com
LinkedIn: William DiAntonio
My background in private investigation taught me to dig for underlying patterns, and AI discovery is now prioritising those same patterns of human intent over static keywords. Google AI Overviews and ChatGPT are shifting results toward brands that provide conversational depth rather than just surface level optimisation.
This shift turns your brand reputation into a verified data point that AI uses to build trust before a user even clicks. To stay visible, you must stop trying to rank for what you do and start ranking for the specific problems you solve.
Carlos M. Cortez - Co-Founder & Senior Consultant, S9 Consulting
Industry: Digital agency
Website: s9-consulting.com
LinkedIn: Carlos Cortez
AI is collapsing the research phase into one answer, so discovery is shifting from browsing websites to getting recommended inside AI Overview and ChatGPT style summaries. The businesses winning are the ones with clean, consistent machine readable signals like services, locations, proof, FAQs, and tight internal linking, not just pretty pages.
We've seen this directly with our AI agents work. When we publish specific use cases, prospects show up already using our exact phrasing and asking implementation questions instead of "what do you do?" That means higher intent leads and shorter sales cycles.
Practical takeaway: treat your site like an API for answer engines. Ship one authoritative page per offer with clear outcomes, integration stack, constraints, and FAQ, then keep it synced across your wider footprint.
Andrew Day - Owner, Advanced Quality Lawn
Industry: Lawn care and landscape maintenance
Website: aql4u.com
LinkedIn: Andrew Day
AI search tools like Google AI Overviews are shifting discovery toward hyper specific problem solving, surfacing our localised lawn tips content for regional issues like snow mould or Japanese beetle infestations. This rewards our 30 years of local expertise because these engines cite our specific guides on Ohio's changing seasons to provide users with expert advice that builds immediate trust.
Chris McVey - Founder & CEO, On Deck Marketing
Industry: Digital marketing agency for home services
Website: ondeckmarketing.co
LinkedIn: Chris McVey
AI is compressing discovery into one answer plus one tap, so I'm seeing fewer casual website clicks and more ready to book actions coming straight from Google Business Profiles: calls, messages, and booking link taps. When we tightened a contractor's GBP with a more specific category, stronger service keywords, and weekly posts, discovery searches jumped in four weeks, and then we improved the CTA and booking flow because impressions rising without actions is the new AI era problem.
The biggest shift I've noticed is speed. When we add chat, calendar booking, and automated follow up in the CRM, close rates rise simply because prospects coming from AI summaries expect immediate answers.
Adam Vibe Gunton - Founder, Recovered On Purpose | Managing Partner, Behavioral Health Partners
Industry: Addiction treatment marketing and recovery advocacy
Website: behavioralhealth.partners
LinkedIn: Adam Gunton
AI search tools like Google AI Overviews and ChatGPT are now pulling treatment centre recommendations directly into answers, bypassing traditional search results entirely. In addiction treatment, where someone's first search could be their most important, this shift is massive.
What I've noticed is that centres with deep, structured content around specific conditions and treatment types are getting cited by AI engines far more than centres with thin service pages. AI rewards specificity and trust signals. Recovery testimonials, structured programme descriptions, and clear clinical credibility are not just good marketing anymore. They are what AI systems use to decide whose answer gets shown first.
Kent Vanho - Founder, Alpha Coast
Industry: Done for you client acquisition / lead generation
Website: alphacoast.com
LinkedIn: Kent Vanho
AI is pushing discovery upstream. Prospects pre qualify vendors inside ChatGPT and AI Overviews before they ever visit a site, so we're seeing fewer raw clicks but a higher intent first conversation.
The biggest change in our world is AI rewarding clear, structured offers and proof, not broad visibility. If your positioning is fuzzy, answer engines lump you in with generic competitors. When it is sharp, the buyer shows up asking for the exact outcome.
Ammon Nelson - Founder & Attorney, Ammon Nelson Law PLLC
Industry: Family law
Website: ammonnelsonlaw.com
LinkedIn: Ammon Nelson
AI is pushing discovery from "best divorce lawyer near me" to scenario based questions such as what happens if one parent will not move out in Utah. Those people often land on us only after an answer engine gives them a clear next step and they want a real lawyer to execute it. We are seeing more first calls that reference a specific scenario they asked ChatGPT or Google AI Overviews, then they look for a local firm with credibility signals like reviews, process clarity, and a real office.
We've adapted by publishing plain English Utah family law FAQs and checklists that mirror how clients actually ask questions, while tightening our Google Business Profile and review responses so AI summaries do not miss the who, where, and what we do.
Trevor Jones - Founder, Rhythm Collective
Industry: Marketing agency / service business growth
Website: rhythmco.com
LinkedIn: Trevor Jones
AI driven discovery is quietly reshuffling which local service businesses get found first. I've watched clients who dominated traditional Google rankings suddenly lose ground in AI Overviews simply because their content was not structured around what a customer actually asks out loud.
What's working right now is building content and service pages around the full customer journey, not just the moment someone is ready to buy. The businesses winning in AI discovery are the ones that look trustworthy at a glance. Consistent directory listings, strong Google Business Profiles, and real client proof are not just SEO hygiene anymore. AI tools are pulling from all of it to decide who gets cited as the answer.
Martin Davis - Owner, Extreme Kartz
Industry: Ecommerce / golf cart upgrades and performance parts
Website: extremekartz.com
LinkedIn: Not provided
AI is shifting discovery in our space from shop parts searches to very specific fitment and outcome questions, such as lithium conversion for a particular cart model or which controller upgrade matches a certain setup. Because Extreme Kartz is built around compatibility guidance and real world installation considerations, we're showing up more when answer engines try to resolve "will this work on my cart?" style queries.
The biggest change is that customers arrive already educated by AI summaries and then use us to confirm expectations like range, speed, and install limits before buying. That rewards transparency and tight product fitment standards, and punishes vague specs.
Matthew Post - Co-Founder, WCAG Pros
Industry: Web accessibility services
Website: wcagpros.com
LinkedIn: Matthew Post
AI search tools like Google AI Overviews and ChatGPT now prioritise our detailed WCAG articles, such as those on captions for live audio and common small business fixes like missing alt text.
This has increased discovery for queries around ADA compliance and website accessibility lawsuits. Businesses find us when seeking audits to mitigate risk, converting educational content into remediation projects.
Gunnar Blakeway-Walen - Marketing Manager, FLATS
Industry: Multifamily real estate / property management
Website: livethewilmore.com
LinkedIn: Gunnar Blakeway-Walen
AI is pushing apartment discovery from browse listings to get an answer now, so we're winning when our content resolves specific friction quickly, not just when we rank on broad keywords. We saw that shift in intent show up downstream. Adding rich media like illustrated floor plans, 3D tours, and video tours increased tour to lease conversions because prospects arrive pre qualified and expecting proof, not promises.
We also tightened tracking and CRM hygiene so we can see which AI adjacent discovery paths actually convert and reallocate spend toward channels producing real leases instead of vanity traffic.
Andrew Sharp - Owner, Serpukhov Appliance Repair Company
Industry: Residential and commercial appliance repair
Website: scaril.com
LinkedIn: Andrew Sharp
Running appliance repair in Northwest Chicago, I've noticed customers now arrive already thinking they know what is wrong. They say things like, "ChatGPT told me it's probably the condenser coils" before I even run diagnostics. That is a real shift from two years ago.
AI tools seem to pull from detailed, helpful content. Our condenser coil cleaning page in Hawthorn Woods and our Highland Park dishwasher case studies started generating calls from people who said an AI answer mentioned a local repair company when they searched for solutions. The practical takeaway is to document actual repair jobs with specific locations and specific problems solved. AI answer engines reward that granular real world content far more than generic service pages.
Blake George - Founder, BMG MEDIA
Industry: Web design, development, and digital strategy
Website: bmgmediaco.com
LinkedIn: Blake George
AI is compressing the research phase into one answer, so prospects are showing up already educated and asking sharper questions. We're seeing more first touch leads mention, "I asked ChatGPT" or "I saw Google's AI Overview," then jump straight to timelines, tech stack, and budget instead of basic "what do you do?"
Practically, it is pushing us to publish pages that AI can confidently pull from: clear service definitions, pricing ranges or decision factors, and concrete deliverables instead of fluffy branding copy. Adding explicit what's included, what's not, performance expectations, and compliance basics has reduced back and forth and improved lead quality because the AI snippets answer early objections before the click.
Vernon Ross - Author / Podcast Expert, Vernon Ross Consulting
Industry: Consulting / podcasting / enterprise communications
Website: storiesthatlead.co
LinkedIn: Not provided
AI driven discovery has fundamentally changed how consulting clients find me. Over the past 18 months, I've seen a measurable shift, with prospective Fortune 500 clients now referencing content they encountered through ChatGPT recommendations and Google AI Overviews before they ever land on my website.
I now optimise blog posts, podcast show notes, and articles for what I call answer engine optimisation, structuring content so AI systems can accurately surface my expertise when enterprise communications leaders ask questions about AI implementation.
If your content does not answer the question an AI is processing, you do not exist in that discovery channel.
Anton Strasburg - Media Manager, FreeConference.com
Industry: Conferencing software
Website: Not provided
LinkedIn: Not provided
AI is transforming the way people discover products and services by moving them toward making specific queries to an information retrieval technology rather than browsing. Consumers are likely to make fewer purchases based on traditional search engine approaches. For example, rather than clicking through five results for a conference call service, someone may issue an AI based query for "a simple conference call service for a nonprofit" and receive one recommendation.
This shift will require businesses to adjust their content and messaging. Regardless of the method of discovery, users still decide based on clarity, ease of use, and whether the tool saves them time.
Vikrant Bhalodia - Head of Marketing & HR Ops, WeblineIndia
Industry: Software development and IT services
Website: weblineindia.com
LinkedIn: Vikrant Bhalodia
AI is quietly shifting discovery from searching to asking, which means fewer clicks and more direct answers. This can reduce organic traffic but increases the importance of being referenced as a credible source in AI responses. One practical move is to structure content around clear, expert answers and niche use cases, since AI tools tend to surface precise, experience backed insights over generic content.
Kavin Xavier - Vice President of AI Solutions, CapeStart
Industry: AI solutions / technology services
Website: capestart.com
LinkedIn: Kavin Xavier
We are seeing a clear shift in how discovery works with AI driven search. Platforms like ChatGPT prioritise content that is structured, credible, and directly answers user intent, which changes how visibility is earned. Businesses that invest in clarity and domain expertise are being surfaced more consistently. It is less about traditional SEO signals and more about being the most relevant, trusted source.
Gary Peters - Co-Founder & CEO, PupPilot
Industry: Veterinary technology
Website: puppilot.co
LinkedIn: Gary Peters
We've seen a noticeable shift in how veterinary clinic owners find us. More and more, our inbound leads mention they first heard about PupPilot through AI generated search results or answer engines. They'll ask something like, "what's the best AI phone system for vet clinics?" and our name surfaces in AI Overviews or ChatGPT responses before they ever hit a traditional search result. It reinforces the importance of having strong content so AI models have quality material to pull from when people ask questions in your space.
Hasan Can Soygök - Founder, Remotify
Industry: Fintech
Website: remotify.co
LinkedIn: Hasan Can Soygök
In 2026, we are seeing AI answers change discovery from clicks to mentions, so we track whether we are cited in tools like Google AI Overviews and ChatGPT and then measure the downstream lift in branded search and direct enquiries. The practical shift is publishing answer first pages with proof of work and keeping them fresh, because AI engines prefer clean, quotable explanations over brand heavy copy.
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Kiril Ivanov
Managing Director & Performance Lead
Kiril leads strategy and execution at TwoSquares, combining technical engineering backgrounds with advanced performance marketing. Specialising in programmatic SEO, Google Ads scripting (API), and full-funnel paid media architecture, he builds systems that turn search visibility into measurable revenue for UK brands.
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