Bitbrain
(https://bitbrain.com) 📸 Data Snapshot: May 29, 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.
Trust signals are largely grounded in institutional credibility rather than ‘trust theatre.’ The site lists high-authority collaborators including Stanford, MIT, and Imperial College London. While the review_count is low (4 on homepage), the presence of the ISO 13485 certification claim and specific citation counts provides a level of verification that outweighs standard testimonial fluff.
The proof density is robust. The ratio of verifiable evidence (named universities, specific citation metrics, regulatory standards) to vague assertions is roughly 4:1. The specific breakdown of ‘110+ public and private R&D projects’ serves as a strong verifiable foundation for their claims of expertise.
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) | 4 | 1 |
| /neurotechnology-products/services/ | 1 | 1 |
| /blog/ | 1 | 2 |
| /neurotechnology-contact/ | 1 | 1 |
🔗 Identity & Technical Layer — schema JSON-LD: declared ratings, reviews & identity proof
Homepage schema
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Bitbrain",
"legalName": "Bit&Brain Technologies S.L.",
"url": "https://www.bitbrain.com",
"logo": "https://www.bitbrain.com/logos/logo.png",
"taxID": "B99241655",
"telephone": "+34 931 444 823",
"image": [
"https://www.bitbrain.com/images/Bitbrain.jpg"
],
"areaServed": {
"@type": "Place",
"name": "Worldwide"
},
"address": {
"@type": "PostalAddress",
"streetAddress": "C/ Santa Teresa de Jesús, 30-32, local",
"addressLocality": "Zaragoza",
"postalCode": "50006",
"addressCountry": {
"@type": "Country",
"name": "ES"
}
}
}
/neurotechnology-products/services/
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Bitbrain",
"legalName": "Bit&Brain Technologies S.L.",
"url": "https://www.bitbrain.com",
"logo": "https://www.bitbrain.com/logos/logo.png",
"taxID": "B99241655",
"telephone": "+34 931 444 823",
"image": [
"https://www.bitbrain.com/images/Bitbrain.jpg"
],
"areaServed": {
"@type": "Place",
"name": "Worldwide"
},
"address": {
"@type": "PostalAddress",
"streetAddress": "C/ Santa Teresa de Jesús, 30-32, local",
"addressLocality": "Zaragoza",
"postalCode": "50006",
"addressCountry": {
"@type": "Country",
"name": "ES"
}
}
}
/blog/
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Bitbrain",
"legalName": "Bit&Brain Technologies S.L.",
"url": "https://www.bitbrain.com",
"logo": "https://www.bitbrain.com/logos/logo.png",
"taxID": "B99241655",
"telephone": "+34 931 444 823",
"image": [
"https://www.bitbrain.com/images/Bitbrain.jpg"
],
"areaServed": {
"@type": "Place",
"name": "Worldwide"
},
"address": {
"@type": "PostalAddress",
"streetAddress": "C/ Santa Teresa de Jesús, 30-32, local",
"addressLocality": "Zaragoza",
"postalCode": "50006",
"addressCountry": {
"@type": "Country",
"name": "ES"
}
}
}
/neurotechnology-contact/
{
"@context": "https://schema.org",
"@type": "Organization",
"name": "Bitbrain",
"legalName": "Bit&Brain Technologies S.L.",
"url": "https://www.bitbrain.com",
"logo": "https://www.bitbrain.com/logos/logo.png",
"taxID": "B99241655",
"telephone": "+34 931 444 823",
"image": [
"https://www.bitbrain.com/images/Bitbrain.jpg"
],
"areaServed": {
"@type": "Place",
"name": "Worldwide"
},
"address": {
"@type": "PostalAddress",
"streetAddress": "C/ Santa Teresa de Jesús, 30-32, local",
"addressLocality": "Zaragoza",
"postalCode": "50006",
"addressCountry": {
"@type": "Country",
"name": "ES"
}
}
}
This page presents a snapshot of public data from Bitbrain, captured on May 29, 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 Bitbrain: 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://bitbrain.com to view the most current version of its content and see directly what this company is about and what it offers.