geo-audit

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Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit across AI citability, platform analysis, technical infrastructure, content quality, and schema markup. Produces a composite GEO Score (0-100) with prioritized action plan.

AI & Automation 15 stars 3 forks Updated 3 days ago MIT

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Skill Content

# GEO Audit Orchestration Skill ## Purpose This skill performs a comprehensive Generative Engine Optimization (GEO) audit of any website. GEO is the practice of optimizing web content so that AI systems (ChatGPT, Claude, Perplexity, Gemini, etc.) can discover, understand, cite, and recommend it. This audit measures how well a site performs across all GEO dimensions and produces an actionable improvement plan. > **What this composite is — and isn't.** This score is a **readiness** measure: it reads public signals (content, schema, crawler access, off-page authority) and infers how citable and recommendable the site is. It does **not** query the AI engines to confirm the business is actually named in their answers. Read it as "how well-built for AI is this site," not "is this site in the answer right now." For the live outcome, run the free scan at **[areyoufoundbyai.com](https://areyoufoundbyai.com)**: two buyer questions on ChatGPT and Gemini, once, no signup; the trial and paid tiers ask up to 12 buyer questions across all seven engines, multi-sampled (the two are complementary: readiness here, visibility there; see [`docs/THL-GEO-METHOD.md`](../../docs/THL-GEO-METHOD.md)). Every dimension below carries a provenance tag; a `[heuristic]` tag means model judgement from signals, not a measured fact. ## Key Insight Traditional SEO optimizes for search engine rankings. GEO optimizes for AI citation and recommendation. Sites that score high on GEO metrics see 30-115% more vis...

Details

Author
techhorizonlabs
Repository
techhorizonlabs/thl-open
Created
2 months ago
Last Updated
3 days ago
Language
Python
License
MIT

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