Products Knowledge BaseBuyer QuestionsAI CrawlabilityAI VisibilityCitation SourcesMonitoring & AlertsIn-app ReportsContent CreationOpportunity DiscoveryMedia & DistributionShopify AppExplore the Web Platform
Solutions E-commerce & DTCBrand SitesContent & MediaAgenciesAI EnginesPlatformsGEO for ShopifyView all solutions
Resources Resource CenterBlogLearning CenterGEO GlossaryResearch Reports
PricingTools
About About InsightWonderContact usSecurity
Start free trial
About

Make every brand fairly recommended by AI

Search is becoming "AI gives the answer." We believe every brand that does good work — big or small, domestic or global — deserves to be seen, cited and recommended by AI.

Our point of view

AI visibility is a measurement problem before it is a content problem.

Teams need a stable baseline and answer evidence before they can decide what to improve.

01
Evidence over anecdotesPreserve prompts, answers, sources and competitors behind every score.
02
Actions over dashboardsConnect findings to owners, work and the next measurable check.
03
Honest product boundariesSeparate limited public Tools results from confirmed formal project data.
FAQ

Questions teams ask before they start

What does InsightWonder do?

InsightWonder helps teams measure how brands appear in AI answers, trace the evidence behind those answers and turn gaps into owned actions.

Is Tools the same product as the App?

They share the same brand and handoff model, but serve different jobs. Tools provides limited public checks; the App manages formal projects and continuous work.

Where does InsightWonder operate?

The website is designed for English and Chinese audiences. Actual market coverage should reflect implemented product support at launch.

Is InsightWonder an SEO tool?

No. It measures whether AI answer engines name, recommend and cite your brand. Search rankings are a different surface and are reported separately.

Does the product promise ranking improvements?

No. Model behaviour is not controllable. What the product commits to is honest measurement and a repeatable way to improve the evidence models read.

How is the roadmap decided?

By what measurement teams actually get stuck on. Capabilities ship only after the underlying data can be trusted.

From signal to action

Want to know more?

Book a demo, or analyze your site for free right now.