Eligibility
Crawlers need access to readable content and a coherent business identity.
Visible2 Knowledge Center
AI Search Visibility
AI search visibility is the extent to which a business is discoverable, understood and surfaced in AI-generated search and assistant answers.
What is AI Search Visibility?
AI search visibility is the extent to which a business is discoverable, understood and surfaced in AI-generated search and assistant answers.
Traditional search gives a list of results. AI search often synthesises those results into an answer. That changes the competitive unit from “where does my page rank?” to “does the system know enough about my business to include it?”
How AI search visibility works
Retrieval
The system needs relevant information associated with the questions a buyer asks.
Confidence
Consistent first-party information and credible external corroboration reduce ambiguity.
Selection
The business still has to be useful and relevant enough to be chosen for the final answer.
Why rankings alone do not answer the question
A strong Google position can help discovery, but it does not prove an AI assistant will mention the business. Likewise, one AI mention does not prove consistent visibility. The only defensible measure is repeated testing across a defined set of buyer questions.
What to improve first
Start with access, entity clarity and direct answers. Then strengthen corroboration and measure actual recommendation behavior. This order prevents businesses from spending on speculative tactics while basic eligibility problems remain unresolved.
How Google describes generative search discovery
Google says AI Overviews and AI Mode are rooted in its core Search ranking and quality systems. It also documents query fan-out: one user question can generate several related searches to retrieve the information needed for an answer. That is one reason creating a separate page for every tiny keyword variation is unnecessary.
For Google specifically, a page must be indexed and eligible to appear with a snippet before it can appear in generative AI features. Eligibility still does not guarantee selection.
What to measure in AI search
Discovery
Which pages and sources are retrieved or cited for the questions that matter?
Brand presence
How often is the business named in unbranded buyer questions?
Recommendation share
How often is the business presented as a provider compared with named competitors?
What should I do next?
Start with evidence. Run the free Visible2 scan to check whether the website foundations are in place. If the site is ready, move to repeated measurement of the buyer questions that matter rather than making speculative changes.
Related evidence
Go deeper on this topic
Supporting guides, case studies and measurement notes from the Visible2 Knowledge Center.
How AI assistants choose which businesses to recommend
Think in four stages: eligibility, retrieval, confidence and selection — then measure the output.
AI search citations: mentions, sources and recommendations are not the same thing
A cited page, a named brand and a recommended provider are three different outcomes. Measure them separately.
AI crawler access: robots.txt, OAI-SearchBot and JavaScript
Crawler access is an eligibility gate. Different assistants use different agents, and blocking one can have a different effect from blocking another.
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