Mentions
Is your brand in the answer?
GEO Measurement shows where your brand appears in AI answers, who gets cited instead of you, and what to fix first.
One domain is enough: the free check estimates how readable your site is for answer engines, with no account.
Is your brand in the answer?
Which of your pages does the AI rely on?
How often you appear, against your competitors.
How the answer talks about you.
Share of voice reads by engine, market and period, always relative to the competitive set defined with you. Every data point keeps its raw answer.
Knowing who is cited, and from which page, matters as much as knowing whether the brand appears. Demo data: the brand, engines and values are fictitious.
| Engine and method | Observed answers | Mentions | Citations | Variance |
|---|---|---|---|---|
| Engine A · provider API | 40 | 18 | 11 | ± 6 pts |
| Engine B · provider API | 40 | 15 | 7 | ± 8 pts |
| Engine C · observation | 40 | 12 | 9 | ± 9 pts |
“… models tested under 48 dB, such as the X range, are often recommended [2] …”
Citation rate = answers citing a brand URL ÷ observed answers, per engine and period. An API answer does not represent every user’s experience. Citation ≠ click; no causality is established without a dedicated protocol.
A timestamped video moment, the approved article it produced, the source the engine cited, then the recommendation: measurement opens and closes the loop. It observes before, then after; every step in between stays under human approval.
Each score shows its method, date, inputs and coverage; no universal success score is published.
The method name, its version and its formula, open to review.
The pages, videos and observations taken into account, and those that are missing.
The proposed action, its evidence, the estimated effort and the person who approves.
Dashboards tied to the source and version of each piece of content, where every metric keeps its nature: a citation is not a click.
A bot fetched the page. That does not mean it will be used, or cited.
A session arrives from an identifiable AI referrer. That does not prove what caused it.
An action measured on your site, tied to a journey under a declared model.
Domain, brands, competitors, markets and priority questions: the Aive team scopes the panel and period, then delivers a dated report.
The Aive team will get back to you to scope the question panel, engines and period. Meanwhile, the free check gives a first estimate.
Engines, panel, repeated sampling, rules of evidence and reading limits: Methodology
Yes. One domain is enough, with no account. The result is an instant estimate, labelled as such; it does not replace the GEO Audit.
A mention means the brand appears in the answer. A citation means the engine ties a brand URL or source to its answer. Both are measured separately, on the same observed answers.
An engine can cite a page without any user clicking. Citations and sessions are shown side by side, never added up.
ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews, with a per-engine status kept current on the Aive GEO hub and detailed in the methodology. The scope of each audit is agreed with you.
The cadence is agreed in the GEO Audit: questions, engines, markets and sampling frequency. Every report shows its period and actual coverage.
Yes, within the agreed sample. The competitive set is defined with you, and share of voice is computed only against that set.
Priorities are tied to evidence, effort and an owner. They steer Video GEO, Media Factory or EDGE, then a new measurement compares the end state to the baseline.