One platform for the entire GEO growth loop
More than measuring AI visibility — from building your knowledge base and creating content, to distributing everywhere and monitoring, all in one loop that wins back high-value questions one by one.
See the full GEO workflow in one workspace.
Move from knowledge coverage and buyer questions to visibility, citations, monitoring, content and distribution.
The product follows the work your team actually does.
Build a reliable foundation, measure real AI answers, then create and distribute work with the evidence still attached.
Give every measurement the right business context.
Start with one domain. InsightWonder builds an editable brand profile, extracts traceable facts and creates buyer questions with self-referential prompts kept out of visibility scoring.
See where your brand is named, cited and overtaken.
Ask supported AI engines the same buyer questions, inspect the original answers and citations, then monitor meaningful changes without turning model sampling noise into false alarms.
AI Visibility
Mention rates, question-by-model matrix and competitor share of voice.
View detailsCitation Sources
Actual cited URLs traced back to the question and model.
View detailsMonitoring & Alerts
Change snapshots, six alert types and two-run confirmation.
View detailsIn-app Reports
Visibility, citations, competitors and knowledge gaps in one review.
View detailsTurn evidence into content and controlled distribution.
Create long-form GEO content from confirmed facts and target questions, improve it with deterministic scoring, then use owned channels or paid media with a human approval step.
Opportunity Discovery
Find valuable questions where AI still recommends competitors.
View detailsContent Creation
Guided generation, GEO scoring, paragraph rewrite, templates and library.
View detailsMedia & Distribution
Media marketplace and draft-first publishing with human confirmation.
View detailsA zero is not the same as not measured.
InsightWonder keeps sample limits, excluded self-referential questions and unavailable evidence visible so teams do not optimize against a fabricated certainty.
Fast public diagnosis
Use a limited snapshot and zero-token technical checks before creating a formal project.
Explore ToolsComplete continuous workflow
Confirm onboarding context, establish the formal question set and manage measurement, content and distribution over time.
Start free trialQuestions about the Web Platform
What does AI visibility measure?
It measures how often your brand is named in the body of AI answers for the buyer questions you track. Citations and search rankings are reported separately.
How is the supported engine set managed?
The supported engine set is maintained in the product and pricing catalog, so the website does not hard-code a fixed model count.
Does InsightWonder publish content automatically?
No. External publishing is draft-first and requires human confirmation. Media placement and connected channels keep their own commercial and verification boundaries.
Is a zero the same as “not measured”?
No, and the product never shows one as the other. A question that has not been run against a model stays unmeasured rather than being reported as 0%.
Are questions containing your own brand name counted?
No. Self-referential prompts are excluded from visibility scoring, because asking a model about your brand by name inflates the mention rate without reflecting real buyer demand.
Does being cited mean being recommended?
No. Mentions and citations use separate metrics. A page can be cited as a source while the answer still recommends a competitor.
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