TED
(https://ted.com) 📸 Data Snapshot: June 19, 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.
Despite displaying a review_count of 6 on the homepage and 17 on the privacy page, the site maintains a trust_theatre_flag of false. However, with a low proof_links_count of only 1 to 2 per page, there is a reliance on internal metrics that are not directly linked to third-party audits or external impact verifications within the crawled dataset. The claims of ‘award-winning’ animations are stated as fact but lack direct links to the specific awarding bodies in the text.
Proof density is high, with the TED-Ed page providing a ratio of approximately one specific metric or named framework for every two sentences of descriptive text. Vague assertions like ‘life-changing’ are usually followed by global reach data (130 countries, 139,000 students weekly). The proof is largely quantitative (view counts, participant totals) rather than qualitative (named beneficiary stories), which is appropriate for a platform-scale nonprofit.
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) | 6 | 1 |
| /about/programs/ted-ed/ | 0 | 1 |
| /about/partner-with-ted/ | 0 | 1 |
| /about/our-organization/our-policies-terms/privacy-policy/ | 17 | 2 |
🔗 Identity & Technical Layer — schema JSON-LD: declared ratings, reviews & identity proof
This page presents a snapshot of public data from TED, captured on June 19, 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 TED: 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://ted.com to view the most current version of its content and see directly what this company is about and what it offers.