SurrealDB
(https://surrealdb.com) 📸 Data Snapshot: May 25, 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 technical depth. The schema_json includes foundedDate (2022) and multiple sameAs links to GitHub and Discord, proving a digital footprint. The Labs section name-checks several developers (e.g., David Bottiau, Gabor Szabo), though the site could improve by linking these individuals to Person schema within the structured data.
The performance claims are largely structural rather than comparative fluff. Instead of saying ‘we are 10x faster,’ the site explains why they are faster (e.g., FIXES: COMPOUNDING LATENCY by reducing network hops from five systems to one). This mechanical proof bridges the gap between marketing and reality.
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": "Organization",
"name": "SurrealDB",
"url": "https://surrealdb.com",
"logo": "https://surrealdb.com/assets/static/logo.BG7_TG2b.svg",
"description": "SurrealDB is the context layer for AI agents. A multi-model database for documents, graphs, vectors, and time-series.",
"foundingDate": "2022",
"knowsAbout": [
"multi-model databases",
"document databases",
"graph databases",
"vector search",
"time-series databases",
"SurrealQL",
"AI agent memory",
"real-time databases",
"embedded databases",
"context layer",
"graph ontology",
"distributed database",
"knowledge graphs",
"distributed transaction protocols",
"highly-scalable databases"
],
"sameAs": [
"https://github.com/surrealdb/surrealdb",
"https://twitter.com/surrealdb",
"https://www.youtube.com/@surrealdb",
"https://www.linkedin.com/company/surrealdb",
"https://discord.gg/surrealdb",
"https://www.reddit.com/r/surrealdb",
"https://www.instagram.com/surrealdb",
"https://medium.com/surrealdb",
"https://dev.to/surrealdb"
]
},
{
"@context": "https://schema.org",
"@type": "WebSite",
"name": "SurrealDB",
"url": "https://surrealdb.com",
"potentialAction": {
"@type": "SearchAction",
"target": {
"@type": "EntryPoint",
"urlTemplate": "https://surrealdb.com/docs?search={search_term_string}"
},
"query-input": "required name=search_term_string"
}
},
{
"@context": "https://schema.org",
"@type": "SoftwareApplication",
"name": "SurrealDB",
"applicationCategory": "DeveloperApplication",
"operatingSystem": "Linux, macOS, Windows",
"url": "https://surrealdb.com",
"description": "The context layer for AI agents. A multi-model database for documents, graphs, vectors, and time-series.",
"offers": {
"@type": "Offer",
"price": "0",
"priceCurrency": "USD"
}
}
]
/platform/surrealdb/
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "SurrealDB",
"url": "https://surrealdb.com",
"logo": "https://surrealdb.com/assets/static/logo.BG7_TG2b.svg",
"description": "SurrealDB is the context layer for AI agents. A multi-model database for documents, graphs, vectors, and time-series.",
"foundingDate": "2022",
"knowsAbout": [
"multi-model databases",
"document databases",
"graph databases",
"vector search",
"time-series databases",
"SurrealQL",
"AI agent memory",
"real-time databases",
"embedded databases",
"context layer",
"graph ontology",
"distributed database",
"knowledge graphs",
"distributed transaction protocols",
"highly-scalable databases"
],
"sameAs": [
"https://github.com/surrealdb/surrealdb",
"https://twitter.com/surrealdb",
"https://www.youtube.com/@surrealdb",
"https://www.linkedin.com/company/surrealdb",
"https://discord.gg/surrealdb",
"https://www.reddit.com/r/surrealdb",
"https://www.instagram.com/surrealdb",
"https://medium.com/surrealdb",
"https://dev.to/surrealdb"
]
}
/why/the-context-layer/
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "SurrealDB",
"url": "https://surrealdb.com",
"logo": "https://surrealdb.com/assets/static/logo.BG7_TG2b.svg",
"description": "SurrealDB is the context layer for AI agents. A multi-model database for documents, graphs, vectors, and time-series.",
"foundingDate": "2022",
"knowsAbout": [
"multi-model databases",
"document databases",
"graph databases",
"vector search",
"time-series databases",
"SurrealQL",
"AI agent memory",
"real-time databases",
"embedded databases",
"context layer",
"graph ontology",
"distributed database",
"knowledge graphs",
"distributed transaction protocols",
"highly-scalable databases"
],
"sameAs": [
"https://github.com/surrealdb/surrealdb",
"https://twitter.com/surrealdb",
"https://www.youtube.com/@surrealdb",
"https://www.linkedin.com/company/surrealdb",
"https://discord.gg/surrealdb",
"https://www.reddit.com/r/surrealdb",
"https://www.instagram.com/surrealdb",
"https://medium.com/surrealdb",
"https://dev.to/surrealdb"
]
}
🛡️ Trust Signals — external proof links that back the declared identity
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 2 | 0 |
| /platform/surrealdb/ | 0 | 0 |
| /why/the-context-layer/ | 2 | 0 |
| /docs/labs/ | 3 | 0 |
This page presents a snapshot of public data from SurrealDB, captured on May 25, 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 SurrealDB: 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://surrealdb.com to view the most current version of its content and see directly what this company is about and what it offers.