Identity & Authority: Kedge – Signal Evidence & AI Readability

Kedge

(https://kedge.com) 📸 Data Snapshot: June 20, 2026
Identity & Authority — The Lens

Inspect 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.

Identity & Authority Expert verifiability & Schema depth.
0 Impact Weight: 15 / 100
0% Reputation

There are severe authority gaps caused by the total absence of JSON-LD schema, Person schema, or Organization markers. No experts or founders are named in the data, leaving the brand’s leadership and technical credibility entirely unverifiable. The lack of structured data and digital footprints for experts creates a maximum-point penalty for identity and authority within the framework.

While no explicit bold claims are made in the text, the disconnect between the professional consulting category and the ‘insufficient’ content is extreme. There are no case studies, revenue improvements, or named clients to demonstrate a track record of performance. The site fails to meet even the most basic proof expectations for a business-to-business consultancy.

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
Homepage — no schema detected (entity gap)
🛡️ Trust Signals — external proof links that back the declared identity
0Review mentions (all pages)
0External proof links (all pages)
PageReviewsProof links
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