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Knowledge Base

Give AI a traceable source of truth about your brand.

Crawl public pages, structure brand facts and see coverage gaps without changing your website.

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Input Website + manual facts
Coverage By knowledge dimension
Evidence Source page trace
Control Editable facts
Core capability

What Knowledge Base helps the team understand.

Crawl public pages, structure brand facts and see coverage gaps without changing your website.

01

Automatic fact extraction

Turn public product, service, pricing and trust pages into structured knowledge.

02

Coverage gaps

See which knowledge dimensions still lack usable facts.

03

Source traceability

Keep every extracted fact connected to the page it came from.

Operating model

Keep every result connected to evidence and action.

The product explains the result, preserves its source context and makes the next review explicit.

01
Start from one domainThe first crawl uses public pages and respects website access rules.
02
Review before useTeams can edit facts before they become grounding for content.
03
Fill gaps deliberatelyUse the coverage view to add only the facts that are actually missing.
Illustrative product evidence

Move from summary metrics into the underlying question.

Sample data demonstrates the evidence depth of a formal project.

InsightWonder / Knowledge Base Sample data

Visibility evidence

Last 30 days
AI visibility 34% +4%
Mentioned questions 10/29 +2
Share of voice 31% +4%
Cited pages 27 +9
Buyer question Brand status Evidence
Best modular sofa for a small apartment Gap Competitor cited
Most durable washable sofa under $2,000 Mentioned Product page
Low-VOC sofa for families Recommended Guide + review
Related

Keep exploring

Product Explore the complete platform See how measurement connects to content and distribution. Open resource → Tool Run an AI Visibility Snapshot Get a limited sample before creating a formal project. Open resource → Guide Build a GEO measurement framework Define prompts, markets, evidence and review cadence. Open resource →
FAQ

Questions about Knowledge Base

Does this feature run from the public website?

No. Marketing pages explain the capability. Formal data collection begins only after a user enters the App and confirms the project scope.

Can snapshot results become part of this workflow?

Yes. A valid snapshot can be claimed as an initial sample, while onboarding still confirms markets, competitors and the formal monitored question set.

Are all metrics comparable across AI engines?

Core answer states can be normalized, but citations, search assistance and answer formats still need engine-specific evidence.

How often is the data refreshed?

Measurement runs on the schedule your plan allows, and monitoring quota is shared at the account level. Alerts require two consecutive runs to confirm, so model sampling noise does not become a false alarm.

Can the original AI answer be inspected?

Yes. Every result drills down to the answer that produced it, question by question and model by model, together with the citations found in that answer.

What happens when a model is unavailable?

That run is marked partial rather than being silently filled in. The remaining engines still complete, and the gap stays visible in the result.

From signal to action

Put Knowledge Base into a complete GEO workflow.

Create a project, confirm your market and start measuring the questions that matter.

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