What are the five dimensions of AI Search Visibility?

AI Search Visibility breaks down into five dimensions, Discovery, Relevance, Authority, Visibility, and Citation, that trace what has to happen before an AI answer engine will cite your page. They run in order, and a page has to clear each one before the next matters, so the model doubles as a diagnosis: your weakest stage is usually what to fix first.

The five dimensions of AI Search Visibility, from crawled to cited

Discovery is whether an AI answer engine can find and read the page at all. That means AI crawlers such as GPTBot, ClaudeBot, and PerplexityBot are allowed in robots.txt, the page returns a healthy 200 status, and the content is present in the raw HTML rather than rendered only by JavaScript, which most AI crawlers do not run. Fail Discovery and nothing downstream can happen.

Relevance is whether the content actually answers the question a person is asking. A page that states its answer directly, in self-contained passages a model can lift without the rest of the page, is far more useful to an engine than one that buries the answer under preamble. Relevance is measured as part of the Content Quality component.

Authority is whether the content can be trusted enough to cite. Clear authorship, published and updated dates, cited evidence, and Schema.org structured data all signal provenance, which raises the odds an engine treats your page as a credible source rather than an anonymous one.

Visibility is whether your brand actually appears in AI answers for those questions. GEO IQ measures it by asking answer engines the questions your page is built to answer and recording whether your domain is mentioned, alongside your share of voice against the competitors that surface for the same queries.

Citation is the final stage: your content is not just mentioned but credited as the source the answer is built on. It is the hardest to earn and the slowest to move, because it depends on engines re-crawling your pages after you strengthen the earlier stages.

How the five dimensions roll up into your AI Search Visibility Score

The five dimensions map onto the three components of the AI Search Visibility Score, a single number from 0 to 100. Discovery is Technical Optimization. Relevance and Authority make up Content Quality. Visibility and Citation make up AI Presence. So one result reads two ways: the five stages tell you where the path breaks, and the three components tell you which part of the product measured it. Because the score averages the three components equally, a page cannot clear Discovery alone and count as visible.

Sources and further reading

• Anthropic: How Claude's web crawlers work and how to block them
• Schema.org vocabulary
• Martinez (2026): A Critical Survey of Generative Engine Optimization (2023-2026)

Last updated August 12, 2026