Anthropic
(https://anthropic.com) 📸 Data Snapshot: June 21, 2026Inspect the JSON-LD. Is there an Organization or Person schema, and does it carry sameAs links to real external profiles (LinkedIn, socials)? Missing schema or no identity declaration signals an anonymous entity.
A significant technical gap exists in the total absence of structured data; the schema_json is null across all 4 pages. While the Constitution page names specific primary authors such as Amanda Askell and Joe Carlsmith, they are not supported by Person schema or sameAs links to external digital footprints. For a company claiming technical leadership in AI, the lack of Organization and TechnicalArticle schema is a notable omission in their authority signals. This results in a high authority gap score despite the reputational weight of the names provided.
Anthropic avoids the typical marketing disconnect by tethering performance claims to specific research milestones. For example, the claim of ‘an upgrade to Opus across coding, agentic tasks, and professional work’ is immediately followed by a ‘Model details’ link. The site does not rely on vague productivity percentages but on measurable research output like ‘Measuring LLMs’ impact on N-day exploits.’ The only disconnect is the ‘trusted by 150 organizations’ claim on the homepage which lacks a directly adjacent list of those entities.
Identity & Authority is read from the structured data first: whether the site declares who it is in machine-readable schema, with verifiable identity links. Below is the schema captured per page, then the external proof links that support (or fail to support) that identity.
🔗 Identity & Technical Layer — schema JSON-LD: identity chains, entity gaps
🛡️ Trust Signals — external proof links that back the declared identity
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 0 | 0 |
| /research/ | 12 | 0 |
| /constitution/ | 12 | 0 |
| /learn/ | 1 | 0 |
This page presents a snapshot of public data from Anthropic, captured on June 21, 2026, to show how machine logic reads Identity & Authority signals into an AI reputation evaluation.
Purpose: This data is presented under “Fair Use” for the purpose of independent signal analysis, allowing readers to see the raw signals behind the reputation score.
Notice to Anthropic: This analysis is part of a non-adversarial audit conducted by 1 Euro SEO. The results are intended as professional feedback to help improve any website’s machine-readability and authority signals. The evaluation is free, and any company can request a fresh audit at any time.
Any company can use the insights for free and improve its voice. When a company has updated its content, it can always submit a new audit request, which will be reflected in a new current score.
To all users: You are encouraged to visit the live site at https://anthropic.com to view the most current version of its content and see directly what this company is about and what it offers.