AI search visibility explained
AI search visibility is how often your brand appears in AI-generated answers across engines — measured as a rate over many prompts, not a rank.
AI search visibility is the measure of how often, and how prominently, your brand appears in the answers AI engines generate. This article explains what the measure represents, how it is calculated, why it behaves differently from a ranking, and how to check where you currently stand.
Traditional search gives you a position: you are third for a query, and that number is stable enough to report. Generated answers have no positions. The engine writes a fresh response each time, and your brand is either in it or not. The natural measure is therefore a rate — across many questions, many engines, and many runs, what share of answers name you.
That rate is what people mean by AI search visibility. It is a percentage rather than a rank, and it only means anything relative to a defined set of questions. A visibility figure quoted without the prompt set behind it is not interpretable, because the number moves entirely with how the questions were chosen.
How it is calculated
The underlying calculation is simple, which is a strength — it makes the number auditable:
- A fixed set of prompts is defined, representing the questions buyers actually ask in your category.
- Each prompt is sent to each tracked engine, on a schedule.
- Each response is scanned for a mention of the brand, producing a one or a zero.
- Mentions are divided by executions to give a visibility percentage.
- The same calculation runs for each competitor, so the scores are comparable.
Refinements sit on top of that base. Position weighting counts a brand named in the first sentence more heavily than one listed at the end. Citation tracking separates being named in the text from having your domain used as a source. Sentiment classification records whether the mention was favourable, because appearing as the option to avoid is not a win.
Why the number moves on its own
Generated answers are non-deterministic. Ask the same question twice and you can get different brands, different sources, and a different structure. This is the single most misunderstood property of the metric, and it has three practical consequences.
First, a single check proves nothing. Screenshots of one favourable answer are anecdotes. Second, sample size matters: visibility measured across five prompts is noise, while the same measure across sixty prompts run weekly is a usable signal. Third, the trend is more reliable than the level. A move from 18% to 26% over six weeks is meaningful; the same gap between two individual runs is not.
What counts as a good score
There is no universal benchmark, and anyone offering one is guessing. The score depends almost entirely on how broad your prompt set is and how crowded your category is. Around 30% on narrow, high-intent B2B prompts is strong. The same figure on broad consumer questions with dozens of plausible brands would be exceptional. On prompts that name your brand directly, anything below 90% indicates a problem.
The comparison that does travel is the competitor gap. If the market leader sits at 45% on your prompt set and you sit at 12%, that ratio means something regardless of category, and it moves as you improve.
How to check where you stand
- Write down twenty to sixty questions a buyer would genuinely ask an assistant before choosing in your category.
- Run each one across the engines your buyers use, several times, and record whether your brand was named.
- Record the same for three or four competitors on the identical prompt set.
- Note which domains the engines cited, since those are the sources currently shaping the answers.
- Repeat weekly and compare trend lines rather than individual runs.
Doing this by hand is feasible once and unsustainable as a programme, which is what visibility tracking tools exist to automate — running the prompt set on a schedule, storing every response, and computing the rates consistently.
Common questions about AI search visibility
- Is AI search visibility the same as AI visibility? The two terms are used interchangeably. Both describe how often your brand appears in AI-generated answers, measured as a rate across a defined question set rather than as a position.
- Is there an AI search visibility checker I can use for free? Several tools will run a single question and show you the answer. These are useful for a first look and unreliable as a measurement, because generated answers vary between runs — one favourable result tells you almost nothing about your rate.
- How many prompts do I need to track? Below roughly thirty, week-to-week noise exceeds most real movements. Between thirty and a hundred well-chosen, high-intent questions is enough for most B2B categories, and is far more useful than a thousand tracked once.
- Why does my score differ between two tools? Because they are measuring differently — different access methods, retrieval settings, repetition counts, prompt phrasings, and mention-detection logic. Scores from different tools are not comparable, and a discrepancy is not evidence that either is wrong.
- Does being cited count the same as being mentioned? No, and they are worth tracking separately. Being named in the prose and having your domain used as a source are different outcomes with different causes and different fixes.
Tip: keep the prompt set frozen once you have set it. Adding easy prompts inflates the score and destroys comparability with your own history, which is the most common way teams accidentally fake an improvement.
Still stuck? We typically reply within 1 business day.
Contact support