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Glossary Term
AI & LLM

Latency Budget

The maximum acceptable response time for an AI system or API call, critical for user experience in real-time applications.

Related Service: Custom Solutions

Latency budget: the maximum delay your users will tolerate

A latency budget is a performance target that allocates “time allowance” across the steps needed to render a page or complete an action. It forces teams to make trade-offs: what must be fast, what can be deferred, and what should be removed.

Where latency usually comes from

  • Large client bundles and heavy third-party scripts.
  • Slow server responses (uncached data, expensive queries).
  • Render-blocking assets (fonts, CSS, images).

How to apply a latency budget

  • Define a small set of key user journeys (home → service → contact, tool → result).
  • Measure baseline performance in the field and in lab tests.
  • Make budgets part of code review: adding scripts must “pay for itself”.

More AI & LLM terms

Browse related definitions in the same glossary category.

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Large Language Model (LLM)

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Techniques to anchor AI outputs in verified sources and facts, reducing hallucinations and improving reliability.

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A measure of how accurately an AI model attributes information to its original source.

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Technical standards for verifying the origin and authenticity of digital content, increasingly important for AI-generated media.

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Fine-Tuning

Adapting a pre-trained AI model to a specific task or domain by training it on additional specialised data.

Where this term is applied

Related GEO services, audits, and frameworks that operationalise Latency Budget in commercial execution.

GEO Services

Core implementation model for AI-first search visibility.

GEO Audit Service

Identify and prioritise visibility blockers.

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