OranGEO Docs
Documentation for AI visibility scans and GEO workflows.
Use the docs to understand how OranGEO scans buyer prompts, tracks AI citations, compares competitors and turns missing evidence into content priorities.
Start with these workflows
AI visibility checks
Learn which website signals matter before running a full multi-engine scan across ChatGPT, Gemini, DeepSeek, Perplexity and Grok.
Read guidellms.txt and crawler context
Prepare a concise brand context file that tells AI search crawlers which pages, facts and sources should be treated as official evidence.
Read guidePrompt set design
Build buyer questions around discovery, comparison, pricing, trust and alternatives so AI visibility can be measured repeatedly.
Read guidePublic AI visibility benchmarks
Review industry benchmark pages to see how brands, categories, prompts and citation signals are structured for search and AI retrieval.
Read guideHow OranGEO teams use the docs
Confirm crawlable website basics: robots.txt, sitemap, metadata, schema, canonical URLs and llms.txt.
Run a benchmark scan across the AI engines and buyer prompts that matter for the category.
Review brand mentions, cited sources, competitor co-mentions, answer position and content gaps.
Repair official pages with clearer answer blocks, stronger proof, site links and consistent entity language.
Documentation FAQ
Is this documentation public?+
This page is public and explains the main workflows. Product-specific documentation opens inside the OranGEO workspace so users can follow current scan, project and report flows.
Where should a new team start?+
Start with the AI visibility checker and llms.txt generator. These pages help verify that the public website is crawlable and that official brand facts are easy to cite.
Does OranGEO replace SEO documentation?+
No. OranGEO extends classic SEO documentation with AI answer measurement, citation-source analysis, competitor co-mentions and repeatable GEO monitoring.