AI Search

AI visibility — what it is and how to measure it

AI visibility is a measure of how often, how prominently and how accurately your brand appears in answers from AI systems like ChatGPT, Gemini, Perplexity and Google AI Overviews. It's becoming the AI-era equivalent of search rankings.

As users ask AI engines instead of scrolling results, the key question shifts from "do we rank?" to "are we mentioned, cited and recommended when the model answers?" AI visibility captures presence in those answers, whether you're named as a source, quoted, or recommended among options.

It's driven by the same foundations as GEO and AEO: clear, extractable content; strong, consistent entity information across the web; authority and trust signals; and factual accuracy the model can corroborate from multiple sources. Being frequently and consistently described the same way online makes a model more confident citing you.

Measuring it means running your priority questions through the major engines regularly and tracking whether — and how — you appear: share of answers that mention you, sentiment, accuracy of what's said, and which competitors show up instead. Unlike a single rank position, AI visibility is probabilistic and varies by phrasing, so it's tracked as a trend across many prompts rather than one number.

Being visible in AI answers is what GEO / AI Visibility is about: GEO / AI Visibility →

FAQ

Frequently asked questions

By running a defined set of priority questions through engines like ChatGPT, Perplexity, Gemini and Google AI Overviews on a regular cadence, then tracking how often your brand is mentioned or cited, how accurate those mentions are, and which competitors appear. It's a trend across many prompts, not a single score.


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