Documentation

GEOrank Docs

Everything you need to understand AI visibility analysis and act on your results.

• 01

  What is GEO?

  Generative Engine Optimisation (GEO) is the practice of structuring your web content so that large language models — ChatGPT, Gemini, Perplexity, Claude — retrieve, cite, and recommend your site in their responses. Unlike traditional SEO which targets search-engine crawlers, GEO targets the retrieval and summarisation pipelines inside LLMs.

• 02

  How the analysis works

  GEOrank fetches your page, parses its DOM and structured data, then runs a battery of 10 checks (free) or 20 checks (Pro) that simulate how LLMs would encounter and evaluate your content. Each check maps to a specific signal that influences LLM citation likelihood.

• 03

  The 10 free checks

  Page structure crawl · Schema markup audit (JSON-LD, OpenGraph) · LLM retrieval simulation · Citation signal check (E-E-A-T) · Content clarity evaluation · Technical GEO (robots/sitemap) · Mobile & page speed · Internal link structure · Keyword entity mapping · Basic report generation.

• 04

  The 10 Pro checks

  Deep LLM prompt simulation (40+ query variants) · Competitor citation gap analysis · Brand entity disambiguation · AI answer-box optimisation · Voice search alignment · Knowledge graph signals (Wikidata/DBpedia) · Cross-platform LLM testing (Claude, Llama-3, Mistral, Cohere) · Conversion intent mapping · Sentiment & reputation scan · Full prioritised optimisation roadmap.

• 05

  Interpreting your score

  Scores range from 0–100 per category and are weighted into an overall score. 80+ is considered Good; 60–79 Needs Work; below 60 is Poor. Each category surfaces specific, actionable issues with effort estimates.