AI Mindshare monitors how leading AI models understand and recommend your brand, with readings updated weekly: one report on where you stand in AI's mind, one on which brands AI names alongside you for the same set of questions.
You Cannot See How AI Reads You
Being recommended is the first thing you get from working with us. Whether you are being recommended well is harder to see. Asking a few questions yourself proves nothing: one query is luck, and every model answers differently, so the same question can produce completely different answers on different platforms.
AI Mindshare turns this into a standing report: the same question set, the same conditions, a fresh reading every week. Where you stand in AI’s mind, and who is standing next to you.
Two Standing Reports
Report 1 · AI Mindshare Analysis
Your position in AI’s mind, as a number that accumulates.
- AMI index: a five-tier scale, Invisible, Faint, Emerging, Known, Thriving, tracked week over week.
- Visibility by question type: questions that name you directly, questions about choosing within a category, and questions that only describe a need without naming a category. The three are reported separately because their difficulty runs in reverse order; rolled into one number, the easy tier hides the real gap.
- Model by model: which models know you and which do not, reported per model rather than averaged away.
- Sources AI cited: whose content AI drew on when it answered, and how much of it was yours.
For how the index is composed and measured, see AMI · AI Mindshare Index.
Report 2 · Category & Scenario Insight
For the same questions, who else AI mentioned.
- AI Share of Voice: how large a slice of those answers you hold.
- Category rank: where you place among the brands that appeared this period.
- Peer list: not picked from an industry classification table, only the brands AI actually names alongside you. This list frequently contradicts what a brand expects, which is exactly what makes it worth reading.
Where It Sits in the Delivery Loop
Define → Build → Create → Publish → Measure. Within the delivery loop, AI Mindshare carries the Measure step: the four steps before it produce the work, and this is where you see whether it landed.
The readings are not an endpoint. They feed back: still invisible on a class of questions, and you return to Create for more content; AI stating something wrong, and you return to Brandwiki to correct the fact; the wrong sources getting cited, and you return to AI Answer Visibility (GEO) to adjust distribution.
Included With Every Engagement
AI Mindshare comes included with every engagement and is not sold separately.
The reasoning is simple: readings only answer where you stand right now. The work that takes effort comes after, which content to add, which facts to correct, which sources to get cited on, and that work is the service itself. Handing over the readings alone does nothing for the outcome.
How It Differs From the Trends Radar
These two lines point in opposite directions:
| Trends Radar | AI Mindshare | |
|---|---|---|
| Direction | Outward | Inward |
| Question answered | What the internet is discussing, and what to publish next | How AI understands you, and which questions it recommends you for |
| Data source | Trending content and signals across platforms | Real answers from leading AI models to a fixed question set |
| Step in the loop | Create (03) | Measure (05) |
Who This Is For
- Teams already running GEO or content distribution who want to know whether any of it moved the needle inside AI
- Brands that AI has misstated on specs, credentials, or scope, and who need to watch whether the correction took
- Anyone who wants to know which brands AI actually puts next to theirs, and on which class of questions the gap sits
Frequently Asked Questions
Can we buy AI Mindshare on its own?
No. It is not sold separately; it comes included with every engagement. The reasoning is simple. Readings only answer where you stand right now. The work that follows, which content to add, which facts to correct, which sources to get cited on, is the service itself.
How is this different from the Trends Radar?
They point in opposite directions. The Trends Radar looks outward: what the internet is talking about, which trends touch your brand, what to publish next. That belongs to the Create step. AI Mindshare looks inward: how AI understands you today, which questions it recommends you for, which of your content it cites. That belongs to the Measure step.
What do we actually see?
Two standing reports. AI Mindshare Analysis: the AMI index on its five-tier scale tracked week over week, visibility broken out by the three question types, results model by model, and which sources AI cited (including how many of them are yours). Category & Scenario Insight: AI Share of Voice, category rank, and the brands AI actually names next to you.
Where does the peer list come from?
Not from an industry classification table. It is every brand AI names alongside you in the answers to the questions you monitor. The two lists often differ: the peers a brand assumes it competes with are not always the ones AI sees, and the list can include hospitals, marketplaces, or public bodies that are not competitors at all but still take up space in the answer.
How often are readings updated?
Weekly. A single query result is largely luck; a week of samples is what shows a trend. The question set and conditions stay fixed from round to round, so what you read is change, not a snapshot.
What counts as a good AMI score?
There is no universal benchmark, and comparing scores across categories is meaningless because question sets differ wildly in difficulty. What works is setting a baseline, watching your own week-over-week movement, and comparing against peers on the same question set. See the AMI entry for how the index is composed and measured.