GEO visibility
Checks whether the site gives AI systems clear, citable, crawlable, and structured information about the business, products, support paths, policies, and key pages.
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Methodology
Nodex scans a public website from the perspective of AI assistants, AI search systems, and developer teams that need implementation-ready files. The scan separates machine-readable discovery, visible content quality, structured data strength, brand authority, and backend protocol readiness.
Checks whether the site gives AI systems clear, citable, crawlable, and structured information about the business, products, support paths, policies, and key pages.
Checks whether agents can discover service metadata, agent-card skills, markdown context, AI policy files, sitemap entries, and implementation instructions.
Produces deploy-ready files when safe, merge-ready changes when page code needs editing, manual-required authority tasks, and backend-required protocol work.
Crawler policy, AI bot access, canonical metadata, Open Graph and Twitter metadata, structured data, FAQ coverage, sitemap freshness, llms.txt, llms-full.txt, ai.txt, markdown access, agent-card, agent-skills, contact paths, legal pages, pricing clarity, and page-specific public facts.
Nodex does not invent founder names, company registration details, customer logos, reviews, awards, media mentions, public profile links, MCP endpoints, UCP endpoints, API capabilities, or commerce actions that are not actually available.
After changes go live, verify robots.txt, llms.txt, llms-full.txt, ai.txt, agent-card.json, agent-skills index, sitemap.xml, page schema JSON-LD, canonical tags, and markdown negotiation, then run a new Nodex scan.
This methodology page was last updated on May 6, 2026. Scoring can still be limited by external platform policy, especially managed crawler blocks at CDN or hosting level.