AI Answer Audit
The process of systematically querying AI engines with target prompts and analysing whether, how, and how accurately a brand is cited in the responses.
AI-powered search features, answer engines, and generative search optimisation including GEO, AEO, and citation-ready content strategies.
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GEO ServicesThe process of systematically querying AI engines with target prompts and analysing whether, how, and how accurately a brand is cited in the responses.
A source reference shown in AI-generated answers that attributes information to a specific webpage, publisher, or document.
A specialised index optimised for AI-powered search, often combining traditional search with vector embeddings.
The degree to which a brand, product, or service appears in AI-generated answers across engines such as Google AI Overviews, Perplexity, ChatGPT Search, and Bing Copilot.
The practice of structuring content, entities and technical signals so that answer engines and AI features like AI Overviews can safely reuse your information in direct answers.
Microsoft's AI-powered search experience built on GPT-4 and Bing's index, delivering conversational answers with citations alongside traditional search results.
OpenAI's web-search capability integrated into ChatGPT, which retrieves and cites live sources when responding to queries - making brand visibility in its index commercially important.
A measure of how reliably an AI system can attribute generated content to source documents, important for AI Overviews.
The practice of structuring content, evidence, and page architecture to increase the likelihood of accurate inclusion in AI citations.
The percentage of AI-generated answers within a prompt set where a specific brand or domain is cited, relative to competitors.
Content structured clearly enough to be reused safely by answer engines, with stable terminology, bounded claims, and supporting proof.
A clear limit around what a page is claiming, including what is in scope, out of scope, and subject to conditions or constraints.
In a GEO context, the risk that a competitor is cited in AI answers instead of your brand for prompts where you should have authority.
A search or assistant query used by someone who is comparing options, validating fit, or moving closer to a purchase decision.
The degree to which a site describes the same service, brand, or concept in stable, non-contradictory ways across its content.
The order in which proof is presented, usually starting with method and context before stronger claims or outcomes are introduced.
A strategy for improving how brands are discovered, interpreted, and cited in AI-generated answers by combining technical SEO, entity clarity, and conversion-focused content architecture.
Optimising content and entities for generative search experiences that blend information from many sources, focusing on clarity, authority and safe reusability.
A structured assessment of how a brand is discovered, represented, and cited across AI-powered search engines, covering content architecture, entity clarity, citation readiness, and measurement.
The practice of tracking and quantifying a brand's presence in AI-generated answers over time, including citation share, prompt coverage, and representation accuracy.
The distinction between Generative Engine Optimisation (optimising for AI-generated answers) and traditional Search Engine Optimisation (optimising for ranked links). GEO focuses on citation quality and entity clarity; SEO focuses on rankings and organic clicks.
A behavioural signal indicating that a user is researching and comparing options, inferred from search or browsing patterns.
How prominently a brand or service is represented in the outputs of large language models - a measure distinct from traditional rankings, focused on citation frequency and accuracy.
The gradual loss of consistency in positioning or service language as new pages and updates introduce alternate framing over time.
A short, intent-rich moment when a user turns to a device for quick information, like 'marketing agency near me now'.
An AI-powered answer engine that synthesises information from multiple sources to respond to user queries in natural language, increasingly used for research and commercial discovery.
The proportion of commercially relevant prompts for which a brand is cited or mentioned in AI-generated answers, used to benchmark GEO performance.
The underlying goal behind an AI or search prompt, such as research, comparison, implementation, or purchase decision support.
The process of matching commercially important prompt classes to the pages, sections, and supporting assets best suited to answer them.
How accurately and consistently a business, service, or topic is described across pages and AI-assisted search outputs.
A method where an AI system retrieves relevant external documents before generating a response, improving factual grounding and citation quality.
Search technology that interprets meaning and context behind queries and content, rather than matching keywords literally.
The level of trust an AI system or user can place in a source based on clarity, consistency, proof, and technical reliability.
Content formatted specifically to be parsed and reused by AI engines - using clear headings, bounded claims, supporting evidence, and consistent terminology.
A control system for approved terms, alternates, and banned ambiguity so a site describes services consistently across pages and teams.
A search approach that uses embeddings to find semantically similar content instead of relying only on exact keyword matching.
Adapting content to match natural, spoken queries typically used on mobile or smart devices.
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