AI visibility has an awkward measurement problem: there is no results page to inspect. Nobody can open a URL and see where you placed. Every number in this discipline is produced by asking an engine a question and reading what came back, which means the metric is only as good as the question set behind it and the honesty of the thing recording the answers.
The unit of measurement is the prompt, not the keyword
Classic SEO measures keywords because a keyword maps to a results page. AI visibility measures prompts, because a prompt maps to an answer. The difference is not cosmetic. Keywords are short and typed; prompts are long, conversational, and often carry the asker’s role and constraints (“I run a two-person marketing team, which tool should we use”).
This is why prompt-set design decides the quality of every metric below. Twenty questions your buyers genuinely ask will produce numbers you can act on. Twenty questions written to include your brand name will produce excellent numbers that mean nothing.
The six metrics
| Metric | What it answers | How fast it moves |
|---|---|---|
| Citation rate | How often does an answer LINK one of my pages as a source? | Weeks. The most actionable metric. |
| Mention rate | How often does an answer NAME my brand at all? | Months. Tracks reputation and training data. |
| Share of voice | Of all brands named across these answers, what share is me? | Weeks to months. Zero-sum and competitive. |
| Answer position | When I appear, am I named first or fifth? | Weeks. Often overlooked; first mention carries most of the value. |
| Engine coverage | How many of the engines cite me at all? | Weeks. Reveals single-engine dependence. |
| Citation sources | Which third-party sites do engines lean on for my category? | Slow to change, fastest to act on. |
Six numbers, not one. A blended 'visibility score' hides which of these moved and why.
The last one is the least discussed and often the most useful. If the engines answering your category keep citing three specific roundup sites, a forum and a video channel, then your citation rate is downstream of whether you appear on those sources. That is a concrete, finite piece of work, and it is invisible if you only track your own numbers.
Which metrics deserve a target
Set targets on citation rate and share of voice. Both are responsive to work you can plan, both are comparable over time against a fixed prompt set, and both fail loudly when you game them, which is a property worth having in a metric.
Track, do not target, mention rate and answer position.Mention rate is largely a function of how well known you are, so a target on it is a target on brand awareness wearing a technical costume. Answer position is genuinely useful but too noisy at low volumes to hold anyone to.
Treat citation sources as a work queue, not a metric. It is a ranked list of places to go, and the right response to it is outreach and content, not a number on a dashboard.
The prompt-set rule:
Measured zero and not measured are different numbers
The most consequential detail in AI visibility measurement is also the least visible. When an engine errors, refuses, rate-limits or simply returns nothing, that is not a measurement of absence. It is the absence of a measurement.
Rendered on a dashboard, the two look identical: a zero, or an empty cell. Treated identically in a score, they are corrosive, because a run where two engines failed will read as a visibility drop, and you will spend a week looking for a cause that does not exist.
Any measurement worth building on carries three states per question and engine, not two:
- Cited, the answer linked or named you.
- Not cited, the engine answered and did not include you. A real, informative measurement.
- Not run, the engine produced no usable answer. Not a miss, and it must be excluded from the denominator rather than counted as a failure.
When you evaluate any tool in this category, including ours, ask which of those three it records and how the third is treated in the score. It is the fastest way to find out whether the numbers are measurements or decoration.
For the individual metrics in depth, see AI share of voice and mentions vs citations. For what to do once the numbers exist, why your brand is not showing up in AI search covers the usual causes in order.