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AI recommendation shortlist

We measure whether a brand appears in answers, its position, whether it is recommended, and which competitors appear for the same questions.

Check brand visibility View an analysis example
Is the brand visible? Recommendations and shortlist position Answers ready for review
Visualization for the page: AI recommendation shortlist
Business problem

Is the brand visible?

We check how often the brand appears for questions in its category. Every measurement records the model, environment, language, location, and date.

A simple mention and an active recommendation are counted separately. They are two different commercial outcomes.

Scenario

Recommendations and shortlist position

A mention is not the same as a recommendation. We distinguish between the brand being merely listed, actively recommended, or skipped in favour of competitors. We also analyse the position of the brand on comparison lists, because ordering shapes what a buyer actually considers.

Scenario

Answers ready for review

Each record contains the full answer, model, language, market, and date. The team can compare the brand description with canonical facts stored in the project.

Automatic fact-checking of offers, prices, people, and company data is not yet available in the real collector. Discrepancies require manual review.

Scenario

Purchase intent coverage

Measurement covers a structured set of user intents — from informational, through comparative, to decision-stage questions. A brand can be visible for some intents and entirely absent for others. The intent coverage map shows where in the decision journey the brand drops out of the conversation.

Scenario

The source ecosystem feeding AI

Where an AI surface exposes cited sources, we record where information about the brand and category comes from. This reveals which domains, directories, and publications genuinely shape the answers. Improving visibility starts with working on that ecosystem, not on the model itself.

Scenario

Examples of actions after measurement

We translate results into concrete, prioritised recommendations in the GEO Readiness layer: completing structured data, correcting content, building presence in sources cited by AI. Each recommendation is linked to the K1–K12 component it affects. We do not promise a specific uplift — we point to what is measurably improvable.

Scenario

Who this measurement is for

Brand visibility measurement serves marketing and brand teams, SEO/GEO specialists, communications, and executives who need a synthetic indicator. The executive layer of the report provides a single score and trend, while the diagnostic layer gives detail to execution teams. Every audience gets the same measurement at the granularity they need.

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Related GeoFolks areas

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Solutions Products in AI answers

Import a product catalogue and measure shopping questions. GeoFolks stores answers, mentions, competitors, and disclosed sources, without automatic price or stock verification.
Solutions Brand representation in answers

Review full answers, mention context, and disclosed sources. Facts and reputation risks currently require human assessment.
Solutions Many brands, one standard

Manage multiple projects, markets, and users with company roles, API access, and reporting. Contract-specific elements are described as scope to agree.
Next step

Check your brand presence

We measure whether a brand appears in answers, its position, whether it is recommended, and which competitors appear for the same questions.

Check brand visibility Discuss the scope