Scratch
(https://scratch.mit.edu) 📸 Data Snapshot: May 24, 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.
While the trust_theatre_flag is false, the site has a proof_links_count of 0 and a review_count of 0, leaving all marketing claims in the meta data completely unsubstantiated. Bold assertions like being a ‘free programming language’ are presented without any link to documentation, source code repositories, or community guidelines in the provided crawl. The absence of external proof paths creates a total reliance on brand name without forensic evidence.
The proof density is 0.0, calculated as zero verifiable evidence points against three distinct meta-claims (language, community, creative tool). Every assertion made in the meta-tags remains a vague assertion without a single number, date, or named project to back it up. In a forensic audit, this represents a total failure of substance.
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 |
🔗 Identity & Technical Layer — schema JSON-LD: declared ratings, reviews & identity proof
This page presents a snapshot of public data from Scratch, captured on May 24, 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 Scratch: 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://scratch.mit.edu to view the most current version of its content and see directly what this company is about and what it offers.