Enterprise Entity & Knowledge Graph Audit

Deterministic stress-testing of your digital identity, Organization JSON-LD schemas, sameAs disambiguation arrays, and frontier AI crawler accessibility.

Search engines and conversational LLMs rank entities, not just documents. We audit the core machine-readable anchors that establish your brand as an undisputed authority in answer engines: unique @id URIs, disambiguating descriptions, sameAs links connecting Wikidata and Google Knowledge Graph, bidirectional rel="me" cryptographic verification, edge WAF unblocking for GPTBot/ClaudeBot, and standardized /llms.txt knowledge endpoints.

Entity Authority: How AI Models Actually Evaluate Your Brand

In generative answer engines (ChatGPT, Google Gemini, Perplexity, Claude), keywords and backlinks take a backseat to entity disambiguation. When a user asks an AI assistant for a vendor recommendation, the model does not run a search engine crawl in the traditional sense—it traverses structured knowledge graphs to resolve named entities.

If your digital identity is fragmented across inconsistent schemas, missing @id canonical URIs, or broken sameAs arrays, the model experiences low confidence. When confidence dips below internal retrieval thresholds, the model defaults to citing your largest, most unambiguous competitor.

What We Audit

  • • Canonical Entity URI (@id): Unique identifiers preventing entity merging.
  • • sameAs Disambiguation: Authoritative links to Wikidata, Crunchbase, Google CID.
  • • Cryptographic rel="me": Bidirectional social profile ownership verification.
  • • Edge WAF AI Crawlers: Unblocking GPTBot, ClaudeBot, and Google-Extended.
  • • Machine Knowledge Manifests: Deployment of /llms.txt and /llms-full.txt endpoints.

The Deliverable

You receive a deterministic, verifiable audit scorecard (0–100), explicit JSON-LD code snippets ready for drop-in deployment, a robots.txt and Cloudflare edge firewall remediation plan, and an executive briefing summarizing your brand's standing in frontier knowledge graphs.

Why Periodic Audits are Essential

Modern CI/CD deployments, tag manager updates, CDN security upgrades, and site redesigns frequently introduce subtle edge regressions—such as Cloudflare turning on automated bot blocks that silently return HTTP 403 to OpenAI or Anthropic crawlers. Regular monthly or quarterly audits guarantee your entity truth remains unbroken.

What's included

  • Complete Organization Schema & @id Graph Audit
  • Wikidata & Knowledge Graph sameAs Disambiguation
  • Bidirectional rel="me" Profile Verification
  • Frontier AI Bot (GPTBot, ClaudeBot) Access Check
  • /llms.txt Machine Knowledge Manifest Generation
  • Full Entity Scorecard & Remediation Roadmap

Frequently asked questions

Why is an Entity Audit critical for AI search?

When an AI model generates a recommendation, it must disambiguate your brand from homonyms and competitors. Without explicit @id and verified sameAs arrays, models hallucinate or default to your largest rival.

How often should this audit be performed?

We recommend running it monthly to ensure edge firewalls, CDN rules, or site redesigns haven’t broken your entity graph or inadvertently blocked AI retrieval crawlers.