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AI search, AEO & GEO

Understand access, source quality and measurement across search-enabled AI products. Separate a documented requirement from a speculative shortcut.

Start with the task, then go deeper.

Each guide answers a different practical question. Read the explanation, follow the workflow and use the worked example to test your understanding. Related reading connects the next decision without repeating the same article under another keyword.

Original visual illustrating ai search, aeo & geo
Practical guide

Correct inaccurate business information in AI answers

When an AI answer describes a business inaccurately, first identify the exact claim and whether the answer used current web sources.

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Practical guide

AEO vs GEO vs SEO: what the work actually changes

SEO improves a website’s discoverability and usefulness in search.

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Practical guide

ChatGPT search visibility: access, evidence and observation

To support discovery in ChatGPT search, make useful public pages accessible and understandable, and review the published OAI-SearchBot controls.

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Practical guide

Claude search visibility: prepare useful public sources

Claude’s search discovery depends on the product’s web-search behaviour and available sources.

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Practical guide

Google AI Overviews: build on search fundamentals

Google says the established SEO fundamentals apply to AI Overviews and AI Mode.

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Practical guide

An AI citation audit with a defensible method

An AI citation audit records which sources appear for a defined set of questions and conditions.

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Practical guide

Entity consistency: make business facts agree

Entity consistency means presenting the same verifiable business identity across relevant pages and profiles.

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Practical guide

Answer-first content that still explains the details

Answer-first writing gives the main response early, then develops the reasoning, procedure and exceptions.

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Practical guide

Evidence design: make important claims checkable

Evidence design connects a claim to the source, method or example that supports it.

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Practical guide

Measure AI visibility without inventing attribution

AI visibility measurement combines repeatable observations with whatever referral and conversion information is actually available.

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Practical guide

Audit content for AI search and human usefulness

An AI search content audit asks whether public pages contain clear, supported answers to the questions customers actually ask.

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Practical guide

LLMs.txt: optional context, not a visibility guarantee

LLMs.txt is an emerging convention for presenting links or context to language-model tools.

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Turn the reading into a working plan.

Keep the task, evidence, implementation owner and acceptance check together. The companion resource gives you a printable starting point; the service page explains how specialist support can be scoped.

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