GEO Site Auditor
Check if your website is technically optimized for citations and search in ChatGPT, Perplexity, Claude, Yandex AI, and Google AI Overviews: bot access, semantic layout, structured data, and llms.txt.
Granular robots.txt rules verification for AI search crawlers, user agents, and LLM training parsers.
Headings hierarchy, main content clarity, Schema.org entities, and factual extractability for AI citations.
Verification of llms.txt and XML sitemap discoverability for generative AI systems.
What GEO Auditor Checks
GEO Auditor inspects technical accessibility for AI search bots (Googlebot, OAI-SearchBot, PerplexityBot, Claude-SearchBot, bingbot, Applebot), training crawlers (GPTBot, ClaudeBot, Google-Extended, Applebot-Extended), JSON-LD Schema markup, content block readability, and llms.txt presence.
Important Boundaries
The audit inspects technical infrastructure and semantic structure. It does not measure brand share of voice or guarantee inclusion in AI responses.
Frequently asked questions
What is GEO and how does it differ from traditional SEO?
Generative Engine Optimization (GEO) is the practice of optimizing website content for citation and inclusion in generative AI search engines: ChatGPT Search, Perplexity, Claude, Google AI Overviews, and Yandex AI. While traditional SEO focuses on driving clicks from organic SERP rankings, GEO focuses on establishing your content as an authoritative source synthesized into direct AI responses with reference links.
Which AI bots does the GEO Auditor evaluate?
The auditor checks your robots.txt configuration for two distinct bot categories: AI retrieval agents (Googlebot, OAI-SearchBot, PerplexityBot, Claude-SearchBot, bingbot, Applebot) and foundation model training crawlers (GPTBot, ClaudeBot, Google-Extended, Applebot-Extended). This ensures your site can be cited in real-time answers even if you restrict model training data scraping.
Why are llms.txt and Schema.org structured data important?
The llms.txt file is an open standard providing concise Markdown navigation tailored for Large Language Models. Schema.org structured data in JSON-LD format (such as Article, Product, Organization, FAQPage, BreadcrumbList) provides unambiguous factual context, minimizing AI hallucinations and increasing citation probability.
Does the GEO audit include a full technical SEO audit?
Yes. Reliable technical foundations — accurate HTTP status codes, absence of redirect loops, correct canonical tags, and fast response times — are essential for all search crawlers. Every GEO audit report seamlessly includes access to the complete technical SEO audit without extra costs or re-crawling.
Technical auditing tool designed to evaluate website readiness for generative AI search engines (Generative Engine Optimization — GEO): ChatGPT Search, Perplexity, Claude, Yandex AI, and Google AI Overviews.
What GEO Auditor Evaluates
- AI Search Bot Accessibility: robots.txt directives for AI search user agents (Googlebot, OAI-SearchBot, PerplexityBot, Claude-SearchBot, bingbot, Applebot).
- Search vs. Training Separation: isolated permission inspection between active retrieval engines and model training crawlers (GPTBot, ClaudeBot, Google-Extended, Applebot-Extended).
- Semantic Content Structure: hierarchical heading structure (H1–H6), clean main text container extraction, and concise factual blocks.
- Structured Data (Schema.org): JSON-LD validation for key knowledge entities (Article, Product, Organization, FAQPage, BreadcrumbList).
- Discoverability & llms.txt: verification of llms.txt standard files and XML sitemaps.
The Relationship Between GEO and SEO
Generative search engines rely on stable technical SEO foundations: accurate HTTP status codes, canonical tags, and fast server response times. The GEO Auditor seamlessly includes the complete technical SEO audit within the same report without re-crawling or extra costs.