AI visibility

What it is

AI visibility is a measured position rather than a single number you can look up. It is built from repeated tests: a defined prompt set, run across chosen assistants, scored for whether the brand is named, whether its site is cited, and how it is characterised. Because answers vary between runs and between users, visibility is expressed as a rate across many samples.

Why it matters

If AI answers absorb the click, presence inside the answer becomes the main route to awareness for a growing share of research queries. Visibility also determines the story buyers hear first, since an assistant will summarise your positioning from whichever sources it found. Tracking it gives a leading indicator of demand shifts that traffic reports alone will miss.

How it works

Practitioners define a prompt set that mirrors real buyer language, run it on a fixed schedule, and store the full answers so wording changes can be reviewed. Scores are usually broken down by assistant, by funnel stage and by competitor, so gaps are actionable. Improvement work then focuses on the sources those answers already draw on, plus first party pages that answer the questions plainly.

When it applies

Use it whenever AI assistants are part of your audience's research path, and as a standing metric alongside organic rankings rather than a replacement for them.

Examples

• A marketing team reports monthly that the brand appears in 42 of 80 tracked prompts, up from 31.
• A category leader notices it is named in awareness prompts but absent from pricing prompts, and publishes a transparent pricing page.
• A challenger brand tracks that a competitor is cited three times more often on ChatGPT and targets the review sites behind those citations.

How it is measured

• Mention rate across the tracked prompt set, by assistant
• Citation share of your domain versus named competitors
• Average position of first brand mention within the answer
• Sentiment and factual accuracy scores of brand descriptions