DAX Studio
(https://daxstudio.org) 📸 Data Snapshot: May 26, 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 established through technical depth, though there are minor gaps in structured data. The schema_json provided is limited to a BreadcrumbList on the documentation page, missing formal Organization or SoftwareApplication schema that could further validate its identity. While the site mentions sponsors like SQLBI, it lacks a dedicated ‘Team’ or ‘About’ page with Person schema for the lead developers, which is the only significant omission in its authority footprint.
There is no disconnect between marketing claims and technical reality. The site claims to help users ‘understand the performance of your DAX code’ and immediately lists the specific features (Server Timings, View Metric, and Benchmarking) that allow a user to do so. These are not ‘bold performance claims’ in the marketing sense but rather functional descriptions of software features that are corroborated by the Documentation sub-page.
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
/docs/intro/
{
"@context": "https://schema.org",
"@type": "BreadcrumbList",
"itemListElement": [
{
"@type": "ListItem",
"position": 1,
"name": "Documentation",
"item": "https://daxstudio.org/docs/intro"
}
]
}
🛡️ Trust Signals — external proof links that back the declared identity
| Page | Reviews | Proof links |
|---|---|---|
| / (home) | 0 | 0 |
| /contributing/ | 0 | 0 |
| /sponsors/ | 0 | 0 |
| /docs/intro/ | 0 | 0 |
This page presents a snapshot of public data from DAX Studio, captured on May 26, 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 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.