Free Knowledge Graph Mapper Can AI verify your brand?
Map how AI search engines (Perplexity, SearchGPT, Gemini Deep Research) verify your brand. We cross-reference your Schema.org sameAs entities against your HTML links to reveal broken or missing semantic anchors.
Why the AI Knowledge Graph Mapper is useful
AI search engines don't just read your page — they build an internal knowledge graph of who you are, cross-checking your identity against authoritative sources like LinkedIn, Wikidata, Wikipedia, GitHub, and Crunchbase. The bridge between your website and those sources is the Schema.org sameAs property. When it's missing or incomplete, AI models can't confidently verify your brand, and may hallucinate details or confuse you with a similarly named competitor.
This tool maps that verification in seconds. It scrapes your JSON-LD structured data and your raw HTML links, then cross-references them to show which authority profiles are properly declared (verified), which are linked but forgotten in your schema (mismatched), and which are missing entirely. You get an Entity Trust Score and a ready-to-paste JSON-LD snippet that turns every weak connection into a strong, machine-verifiable anchor.
Frequently asked questions
What is entity disambiguation and why does it matter for AI?
Entity disambiguation is how an AI decides which real-world thing your brand name refers to — distinguishing your company from others with the same or a similar name. AI engines rely on structured signals like Schema.org sameAs links to authoritative profiles (Wikidata, LinkedIn, Crunchbase) to make that call. Strong, consistent signals mean AI cites you correctly; weak signals lead to hallucinations or misattribution.
What's the difference between verified, mismatched, and missing nodes?
Verified means the authority profile is declared in your Schema.org sameAs array — the strongest anchor AI reads. Mismatched means the profile is linked somewhere in your HTML (like a footer icon) but forgotten in your structured data, so AI can't reliably attribute it. Missing means a critical profile (LinkedIn or X) wasn't detected anywhere and should be added.
How is the Trust Score calculated?
It rewards machine-verifiable structure: points for having valid JSON-LD, an explicitly typed entity (Organization, Brand, or Person), each verified authority profile, and partial credit for mismatched links you can quickly fix. It deducts points when your organization schema is missing a logo or description. The score is a fast proxy for how confidently an AI can verify your brand.
Is it really free, and do you store my site data?
Yes, it's 100% free with no signup. We fetch the public URL you enter in real time, parse the markup in memory to build the graph, and don't store your content or require an account.