ESPN
(https://espnfc.com) 📸 Data Snapshot: May 30, 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.
Authority is well-established through the use of named experts (Gabriele Marcotti, Tim Vickery) and professional photo credits (Getty Images). A minor authority gap exists in the schema_json, which uses a basic WebSite type rather than more granular Organization or NewsMediaOrganization schema. However, the presence of verifiable digital footprints for the named journalists mitigates this gap significantly.
There are no marketing-style performance claims to disconnect from. Instead, the site offers editorial predictions (‘Premier League 2026-27 predictions’) which are framed as expert opinions rather than unsubstantiated business promises. Every bold claim in a heading is backed by a corresponding news story containing specific details and attributions.
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 schema
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "ESPN",
"url": "https://www.espn.co.uk/"
}
/football/
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "ESPN",
"url": "https://www.espn.com/"
}
/football/fixtures/
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "ESPN",
"url": "https://www.espn.com/"
}
/football/story/_/id/48881937/premier-league-awards-2025-26-bill-connelly-best-game-best-worst-transfers-best-xi/
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "ESPN",
"url": "https://www.espn.com/"
}
🛡️ Trust Signals — external proof links that back the declared identity
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 2 | 1 |
| /football/ | 2 | 2 |
| /football/fixtures/ | 2 | 2 |
| /football/story/_/id/48881937/premier-league-awards-2025-26-bill-connelly-best-game-best-worst-transfers-best-xi/ | 2 | 1 |
This page presents a snapshot of public data from ESPN, captured on May 30, 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 ESPN: 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://espnfc.com to view the most current version of its content and see directly what this company is about and what it offers.