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78-point rule-based GEO audit for AI answer engines: schema, structure, authorship, crawler access, and competitor comparison. GEO Readiness Audit scores any web page against 78 checkpoints across 12 categories — everything that determines whether AI answer engines like ChatGPT, Perplexity, Google AI Overviews, and Claude can find, understand, and cite your content. What it checks: Structured data & schema markup (JSON-LD, Article, FAQPage, HowTo, Organization, Person, and more) Content structure for answer engines (headings, FAQ sections, TL;DR blocks, lists, tables) Authorship & trust signals (bylines, credentials, editorial policy) Citation & evidence signals (outbound links, published/updated dates) AI crawler accessibility (robots.txt rules for GPTBot, Google-Extended, PerplexityBot, ClaudeBot, and others; llms.txt) Technical fundamentals (title tags, canonical URLs, semantic HTML, image alt text) Entity & knowledge graph alignment Freshness, multimodal readiness, internationalization, licensing signals, and syndication Competitor comparison: paste any competitor URL to see a side-by-side score breakdown by category. Every failed check links to a plain-English fix guide explaining why it matters and exactly how to resolve it. 100% rule-based — no AI calls, no API keys required, no data collected or sent to any server we operate. All checks run locally in your browser; the only network requests are to robots.txt/llms.txt/sitemap.xml on the audited site and any URL you explicitly submit.
Jul 10, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.