An AI Search Optimization Audit That Computes GEO Score, Doesn't Guess It
Platform readiness for ChatGPT, Gemini, Claude, and Perplexity, entity recognition & LLM content structure, and AI citation probability — computed deterministically from your real page.
Generative Engine Optimization (GEO) — making your content more likely to be cited by ChatGPT, Gemini, Claude, and Perplexity when they answer a relevant question — is a genuinely new discipline with no agreed playbook yet. Most of what's written about it is speculation. This audit takes a narrower, more honest approach: it checks the real signals that are known to matter (AI crawler access, entity clarity, content structure) and computes composite readiness scores from them, clearly labeled as proxy scores, not measured facts.
That means: real per-platform crawler access read from your robots.txt (are GPTBot, Google-Extended, ClaudeBot, and PerplexityBot actually allowed in?), real schema-based entity signals (Organization/Person markup, sameAs authority links), and real content structure analysis (headings, lists, definitional clarity, FAQ presence) — combined into a Generative Engine Optimization score and an AI citation probability proxy.
Who needs this audit
Built for businesses wanting to go deeper than basic AI visibility — real per-platform ChatGPT/Gemini/Claude/Perplexity readiness, entity recognition, GEO score, and AI citation probability, all computed deterministically, not guessed.
What this AI search optimization audit checks
- Platform Readiness — real per-platform AI crawler access (ChatGPT, Gemini, Claude, Perplexity) from robots.txt, blended with content quality
- Entity Recognition & LLM Content Structure — schema-based entity signals and content structure that make a page easy for an LLM to parse
- AI Citation Probability & GEO Score — composite proxy scores estimating generative-engine-optimization strength, clearly labeled as models not measurements
See a real report
From a real audit of mrvisitstrack.net, a live medical-representative field-tracking SaaS — not a mockup.
Real sample findings
From a real audit of mrvisitstrack.net, a live medical-representative field-tracking SaaS — not a mockup.
Clear and engaging content structure with multiple headings
Strong call-to-action buttons encouraging user engagement
Robust page word count indicating detailed information
Implement structured data (JSON-LD) to enhance AI visibility
Add entity recognition elements like sameAs links to authoritative profiles
Incorporate FAQ schema to improve user engagement and AI citation
Example recommendations from a real report
Missing structured data
Add JSON-LD structured data to improve AI visibility.
- Create JSON-LD schema for LocalBusiness and Product.
- Include sameAs links to social profiles.
- Test structured data with Google's Rich Results Tool.
Lack of entity recognition
Incorporate sameAs links to enhance brand authority.
- Identify relevant social profiles and authoritative links.
- Add sameAs schema to the website.
- Validate schema with testing tools.
What you receive
- Per-platform readiness (ChatGPT, Gemini, Claude, Perplexity) from real robots.txt access checks
- Entity recognition and LLM content-structure scoring
- A GEO composite score and AI citation probability proxy, clearly labeled as models
- Specific blockers holding back citation likelihood, named
- Downloadable as PDF, PowerPoint, Word/Google Doc, or CSV/Excel
Compared to a manual audit
AI-search/GEO readiness is new enough that there's no established manual playbook — most agencies currently charge $1,000–$3,000 for a bespoke one-off assessment, largely built on the same public signals (robots.txt access, schema, content structure) this audit checks automatically. This audit computes the readiness proxies deterministically from your real page in under a minute, and is explicit that GEO/citation scores are heuristic models, not proof of a live citation.
Frequently asked questions
No, and it doesn't claim to. GEO and citation-probability scores here are heuristic readiness indicators computed from real, known-relevant signals — not a live test of whether ChatGPT, Gemini, or Perplexity have actually cited you. Treat this as "here's what to fix to improve your odds," not a guarantee.
Whether each platform's crawler (GPTBot for ChatGPT, Google-Extended for Gemini, ClaudeBot for Claude, PerplexityBot for Perplexity) is actually allowed to access your site per your real robots.txt — a real, verifiable technical check, not a guess.
That audit covers AI visibility as one category among seven alongside classic SEO. This audit goes deeper specifically into AI/GEO readiness — per-platform crawler access, entity recognition, and a dedicated citation-probability score — if that's your primary focus rather than a secondary consideration.
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