Are we mentioned at all?
The share of category prompts where an AI engine names you. If you are absent here, nothing else matters yet: you are not in the consideration set.
BRAND, COMMS & PR / AI SEARCH
What is brand visibility in AI search?
How often AI engines mention your brand, whether what they say is accurate, and how you compare to the competitors named alongside you.
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The clear answer
What is Brand Visibility?
Brand visibility measures what AI engines say about your brand, not only whether they say it. It is the brand, comms and PR counterpart to AI visibility: the same answer data, read for accuracy, sentiment, narrative and share of voice against the competitors named in the same answer.
- Category
- AI brand monitoring
- Part of
- The Reaudit platform and done-for-you visibility program
- Next step
- Review the workflow below or talk through your use case
What to monitor
The four questions a brand team must answer.
Four questions, in order. Each one only matters if the one before it is answered.
Is what it says about us true?
Engines state pricing, features, and policies as fact. When those claims are stale or invented, every buyer who asks gets the wrong answer, and you never see the conversation.
How do we come across?
The framing around your name: confident, hedged, or negative. A high mention rate with poor sentiment is a reputation problem wearing the costume of a win.
Who gets recommended instead?
Share of voice against the competitors named in the same answers. This is the number that tells you whether you are gaining or losing ground in your category.
How much you appear.
Presence and position across engines, tracked as metrics over time. The question an SEO or growth team is trying to move.
Explore AI VisibilityWhat is said about you.
Accuracy, sentiment, and narrative. The question a brand, comms, or PR team is accountable for. A brand can score well on one and badly on the other.
Explore Brand AlignmentInside Brand Visibility
Read what AI says about you.
Brand Alignment checks every factual claim against your own verified content and traces each wrong answer to the page it came from.
BRAND ALIGNMENT / PERCEPTION
Perception scorecard
Compare with:
You
Trust & Reliability738 claims
Quality & Performance666 claims
Value & Experience485 claims
Market Position547 claims
Innovation & Appeal714 claims
Actual Reaudit perception scorecard; example scores and claim used for this preview.
Why it matters
Wrong answers sound exactly like right ones.
Pricing that changed last quarter
Engines keep quoting the old number long after you changed it, because the page they learned it from is still cached or still live.
Features you shipped, or retired
New capabilities go unmentioned for months. Deprecated ones get recommended to buyers who then ask your sales team for something that no longer exists.
Policies you never had
Refund windows, SLAs, and trial terms get confidently invented from adjacent sources or competitor pages.
The workflow
From signal to progress.
- 01
Find the checkable claims
Separate opinion from fact. "Popular with agencies" is not verifiable; "costs $99/month" is, and that is what gets checked.
- 02
Check them against your ground truth
Every factual claim is compared to your own verified content, then each wrong answer is traced to its source: one of your own pages, a competitor, or a third-party site.
- 03
Track whether it improves
Re-sample on a schedule. Generative answers are non-deterministic, so a single re-check proves nothing; a trend does.
Proof in the real world
The work should lead to measurable change.
Explore published client results, with the source and measurement shown in each case study.
A question buyers ask
What is brand visibility in AI search?
Brand visibility in AI search is how often, how accurately, and how favourably AI engines such as ChatGPT, Perplexity, Google AI Overviews, and Claude describe your brand when someone asks a question in your category. It combines four things: whether you are mentioned at all, whether the claims made about you are true, the sentiment of the framing, and your share of voice against the competitors named in the same answer.
Connected by design
The tools behind brand visibility.
Frequently asked questions
Straight answers.
What are AI brand mentions?+
An AI brand mention is any time an engine names your brand in a generated answer. It is distinct from a citation, where the engine links to your domain as a source. Mentions measure whether you are in the consideration set; citations measure whether the model treated your own content as evidence. A brand can be mentioned constantly without ever being cited, which usually means other people are describing you and you are not.
What is the difference between brand visibility and AI visibility?+
They are measured from the same underlying data but answer different questions. AI visibility asks how much: presence and position across engines, tracked as metrics over time, which is what an SEO or growth team moves. Brand visibility asks what is being said: accuracy, sentiment, and narrative, which is what a brand, comms, or PR team is accountable for. A brand can score well on one and badly on the other.
How is AI brand monitoring different from traditional brand monitoring?+
Traditional brand monitoring watches published media (articles, posts, reviews) that already exist and can be read. AI brand monitoring watches answers that are generated fresh for each user, stated as fact, usually without a visible source, and never archived anywhere you can search. You have to sample the engines with a fixed prompt set on a schedule, because there is no feed to subscribe to and no index to query.
Can I correct wrong information an AI gives about my brand?+
Not directly: there is no edit button on a generated answer. What you can do is find the source the engine is reading and fix that. Wrong claims usually trace back to one of three places: a stale page of your own, a competitor, or a third-party site. Correcting your own pages is fastest; the others need outreach or new content that outranks them as a source. Then you re-sample on a schedule to confirm the answer actually changed.
How often should brand visibility be checked?+
Weekly for an active brand. Generative answers are non-deterministic: the same prompt can return different brands and different claims on consecutive runs, so a single check tells you almost nothing. Repeated sampling on a fixed cadence is what separates a real shift from noise. Reaudit reports mention rates with Wilson 95% confidence intervals across scheduled runs for exactly this reason.
Make the next move
Make your brand part of the answer.
See the evidence, choose the action and move forward with the platform or with our team.