AI visibility is the degree to which a brand, person or domain appears in AI-generated answers, whether as a citation, a mention or a recommendation. It is the orientation concept for this Index: a single umbrella covering three distinct outcomes that are frequently conflated and need to be measured separately, because each responds to different levers.
In one sentence
AI visibility is the whole picture of how you show up when an engine answers questions in your space, broken into whether your pages feed the answer, whether your name appears in it, and whether the answer sends buyers to you.
How AI visibility is measured
AI visibility is not a single number; it is a profile built from component metrics on a ladder of outcomes. At the base, a brand is absent from answers. Above that it is mentioned, measured by brand mention probability and AI share of voice. Its content may be cited as a source, measured by citation probability. At the top it is recommended, measured by recommendation share. Each is measured across repeated runs per the repeated-run protocol, since single answers are unreliable evidence of any of them.
Worked example
Across 100 responses to a category prompt set, a brand is named in 41, its domain is cited in 6, and it is recommended in 22. Its visibility profile reads: mention probability 41%, citation probability 6%, recommendation rate 22%. The gap between the first and second numbers is typical: the brand is known to the engines through third-party sources while its own site barely feeds the answers. Illustrative example: blimpp benchmark data is added to this page as studies publish.
Why AI visibility matters
Buyers increasingly ask engines rather than search results pages, and an engine’s answer is a closed shortlist: the brands inside it exist for that buyer and the rest do not. Treating visibility as one number hides the diagnosis. A brand mentioned often but never recommended has a reputation problem; a brand recommended without being cited has an ownership problem, since its position rests entirely on sources it does not control. The profile tells you which problem you have.
What affects AI visibility
Evidenced factors: crawler access and indexability of the brand’s own pages, which platform guidance from Google and OpenAI identifies as the precondition for appearing at all. Factors with practitioner evidence: the brand’s footprint across the third-party sources engines retrieve for the category, freshness of that footprint, and the clarity with which the brand’s identity and use cases are stated in extractable text. These are treated as working hypotheses until tested.
Related concepts
References
- Google Search Central, Optimising your website for generative AI features on Google Search: developers.google.com
- OpenAI Help Center, Publishers and Developers FAQ: help.openai.com
Author: Harpal Singh · Last reviewed: 7 August 2026