DAX Studio
(https://daxstudio.org) 📸 Data Snapshot: May 26, 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 avoids common trust theatre patterns such as unlinked G2 badges or anonymous five-star reviews. With a review_count of 0 and a trust_theatre_flag of false across all pages, the site relies on institutional proof rather than social proof. Evidence of trust is provided on the /sponsors/ page, which lists specific industry entities like SQLBI and Tabular Editor with direct outbound links, providing high-veracity evidence of community support without the need for verified review widgets.
Proof density is high, supported by the presence of a version-specific issue log and contribution guidelines on the /contributing/ page. The site provides clear proof of a developer-led ecosystem by linking to Github Discussions and Issues. The /sponsors/ page serves as a high-density proof point, naming specific ‘Gold’ and ‘Bronze’ sponsors who are established authorities in the Power BI and DAX ecosystem.
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) | 0 | 0 |
| /contributing/ | 0 | 0 |
| /sponsors/ | 0 | 0 |
| /docs/intro/ | 0 | 0 |
🔗 Identity & Technical Layer — schema JSON-LD: declared ratings, reviews & identity proof
/docs/intro/
{
"@context": "https://schema.org",
"@type": "BreadcrumbList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Documentation",
"item": "https://daxstudio.org/docs/intro"
}
]
}
This page presents a snapshot of public data from DAX Studio, captured on May 26, 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 DAX Studio: 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://daxstudio.org to view the most current version of its content and see directly what this company is about and what it offers.