Deep audits
AI Search Readiness (GEO) audit
1 min readUpdated May 22, 2026
Optimise for ChatGPT, Perplexity, and Gemini
/dashboard/sites/<id>/audit/ai-search measures how citable your client's content is to LLM-powered search engines β a separate ranking factor from classical Google SERP.
Composite GEO score (0-100)
Weighted by:
- 40% answer-extractability β Sonnet 4.6 extracts factual claims from page samples, scores extraction yield + claim density
- 25% citation pattern presence β heuristic detection of FAQ blocks, comparison tables, numbered lists, definition-then-example structure (the patterns LLMs love to quote)
- 15% AI-schema completeness β Article / FAQPage / HowTo / QAPage / Dataset JSON-LD hits
- 10% llms.txt + ai.txt β HEAD-fetched + validated.
llms.txtis the emerging AI-first sitemap. - 10% bot allowlist β robots.txt audit across 14 known AI bots (GPTBot, ClaudeBot, PerplexityBot, CCBot, Google-Extended, Bytespider, Applebot-Extended, Meta-ExternalAgent, etc) β recommend-by-intent (allow / block / partial)
Brand-mention-in-AI testing (Agency+)
Sends 5 probe queries to Anthropic, OpenAI, and Gemini APIs asking about the client's niche. We then detect:
- Whether the client's brand is mentioned at all
- Brand position (1st mention vs buried)
- Per-LLM cost-tracked
llms.txt + ai.txt
Two emerging community standards we validate against. llms.txt is the structured "what is this site, what content matters" file LLMs prefer to ingest. ai.txt is the bot-allowlist counterpart to robots.txt. Both are still draft-spec but Anthropic, OpenAI, and Google all honour them.
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