GEO
Generative search: readable content, citations and machine-readable structure.
KAN KAI WORKS · Chrome extension · 0.4.0
AI Visibility Check.
Understand your website's AI readiness.
How clearly does a website expose its content for AI-assisted search and attributable answers? This extension measures technical and editorial signals directly inside Chrome.
Chrome Web Store publication is being prepared. No official Store download is available yet.
Assessment areas
Five disciplines, evidence you can inspect
AEO
Answer engines: direct answers and clearly scoped content.
LLMO
LLM comprehensibility: terminology, context and consistency.
AIO
General AI readiness: discoverability and editorial indicators.
AI SEO
Indexability, metadata, robots rules and classical search signals.
The five views share some underlying observations and are not additive scores.
Who is it for?
For website owners, editors and developers who want to identify technical and content improvements. You need Chrome 116 or later and a regular public HTTP(S) website. Analysis starts only when you open the extension.
How will installation work?
Chrome Web Store publication is in preparation. This page will link to the official listing after release. Until then, contact us about availability; no public installation package is offered here.
How it works
- Open a public site in Chrome.
- Click the extension to analyze the current page locally.
- Review the overall score, five disciplines, technical signals and improvement suggestions.
- Optionally, after a second click and a separate domain permission, sample up to ten public pages on the same website.
Optional sampling omits login cookies and never submits forms.
Eight languages without translation APIs
English, German, Spanish, French, Italian, Brazilian Portuguese, Japanese and Traditional Chinese (Taiwan). The extension follows the Chrome interface language automatically, uses English as a fallback, and changes only labels, never computed scores, when you switch language.
What the scores do and do not mean
Scores are transparent heuristics for technical and editorial prerequisites. They are not actual AI citations, search rankings, confirmed indexing or a global industry average. Raw metrics and measurement coverage provide context.