How do you measure AI Search Visibility?
AI answers do not expose a fixed rank, so GEO IQ measures the closest real signals: whether AI engines can read your page, how an AI grades your content, and whether your domain actually shows up when answer engines respond to the questions your page addresses.
The signals we measure
- Technical readiness, measured deterministically: are crawlers allowed, is the content in the HTML, is structured data present?
- Content quality, graded by an AI reading the page as an answer engine would.
- Citations and mentions: how often your domain is cited or named across real AI queries.
- Share of voice: how often you appear versus competitors for those same questions.
Where the questions come from
The queries are generated from your page's own content, so the result reflects where your content can realistically be cited, not a wish list of prompts it has no way to support. That keeps the measure honest and specific to the page you scanned.
Which signals are steadiest
Technical checks are deterministic and repeat exactly. Content grading is stable for a given page. AI Presence varies more, because it depends on how often each engine re-crawls the web and how it phrases a given answer, so share of voice and your content's structure are the steadiest presence signals to track over time.
In practice
In one first-hand test, applying the prioritized fixes to a single page improved its AI Search Visibility Score by 37% in 54 minutes. Structure and Semantics went from 48 to a perfect 100, Technical Optimization from 66 to 95, and the page's content type, previously read as "Unknown," was correctly identified.
Sources and further reading
- Perplexity: Perplexity crawlers and how answers cite sources
- xAI: How Grok returns citations from web search
- Zhang et al. (2026): From Citation Selection to Citation Absorption
Last updated August 12, 2026
Related questions
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