Short answer: the report answers three questions in order. Do AI engines mention your brand, how accurately do they describe it, and which competitors do they name instead. Read it top to bottom, fix the biggest gap first, then track whether the score moves.
A search ranking tells you where a page sits. An AI Mention Report tells you something different: whether the assistants people actually ask are recommending you, and why. Here is what each part means.
1. Mention rate: are you showing up at all
This is the headline number, the share of relevant prompts where your brand appears in the answer, across the major engines. A low mention rate means the engines do not yet have enough clear, consistent signal to name you with confidence. This is the first gap to close, because accuracy and ranking do not matter if you are absent.
2. Accuracy: are they describing you right
When you do appear, the report shows how you are described. Common problems are an out-of-date offer, the wrong location, or a category that does not match what you actually sell. Inaccuracy usually traces back to stale source material the models trust: your own older pages, outdated listings, or thin third-party mentions.
3. Competitive share: who wins when you lose
The report names the brands that get recommended in your place and how often. This is the most actionable part, because it shows you exactly who the engines consider the safe answer in your category, and you can study what they do well: review volume, site clarity, and the places that mention them.
Sources and signals: why the engine answered that way
Good reporting does not just score you, it shows the signals behind the answer: the role of reviews, listings, your website content, and third-party citations. This is the part that turns a score into a to-do list.
Turning the score into action
- If mention rate is low, start with clarity and credibility: make key pages state what you do and for whom, and build review velocity.
- If accuracy is off, update the source of truth: your site, listings, and structured data.
- If a competitor dominates, close the specific gap the report names rather than guessing.
- Then monitor. A single report is a snapshot. Tracking month over month shows whether your work is moving the number.
The report is the diagnosis; the discoverability work is the treatment. We use the AI Mention Report to set a 30, 60, 90 day plan, then run the work and watch the score respond. New to all this? Start with how to check whether AI recommends your brand.
FAQ
What is a good AI visibility score?
There is no universal pass mark, because it is relative to your category and competitors. A useful target is a mention rate at or above the competitors named in your own report, with accurate descriptions across the major engines.
How is this different from Google Search Console?
Search Console reports clicks and impressions for your pages in Google search. An AI Mention Report measures whether AI assistants name and recommend your brand inside their answers, a separate surface that Search Console does not see.
How often is the report updated?
AI answers shift as engines update and as your signals change, so monitoring on a monthly cadence is the practical way to see trends and catch drops early.
Can you improve my score for me?
Yes. The report is the diagnostic; our Discoverability service is the done-for-you work that improves the signals behind the score, then tracks the result.
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