SurrealDB
(https://surrealdb.com) 📸 Data Snapshot: May 25, 2026Count trust words (review, testimonial, rating, verified) against real outbound proof links (Google, Trustpilot, Clutch, G2, Yelp). Lots of trust language with zero verification links is trust theatre. Unlinked logo galleries count against it.
The site triggers a minor trust theatre flag because it displays a review_count of 2-3 while the structured proof_links_count is 0. While large logos like Nvidia and Apple are displayed, they lack direct links to case studies in the provided data. However, the Labs page functions as an organic proof path by showcasing hundreds of community and official integrations with named developers.
Proof density is very high due to the volume of technical specifications and code examples. Across 4 pages, there are at least 15 distinct SurrealQL snippets and 10+ architectural diagrams. The Labs page acts as a massive repository of verifiable evidence, listing specific tools like Aspire Integration and various SDKs.
Trust & Proof is read by weighing trust language against real verification. Below is the page-by-page tally of review mentions and external proof links, then the schema markup that may (or may not) declare verifiable ratings and identity proof.
🛡️ Trust Signals — reviews, proof links, trust-theatre check
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 2 | 0 |
| /platform/surrealdb/ | 0 | 0 |
| /why/the-context-layer/ | 2 | 0 |
| /docs/labs/ | 3 | 0 |
🔗 Identity & Technical Layer — schema JSON-LD: declared ratings, reviews & identity proof
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"
]
}
This page presents a snapshot of public data from SurrealDB, captured on May 25, 2026, to show how machine logic reads Trust & Proof 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.