Trust & Proof: Jumper – Signal Evidence & AI Readability

Jumper

(https://jumper.com.cn) 📸 Data Snapshot: May 28, 2026
Trust & Proof — The Lens

Count 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 & Proof Verifiable evidence vs. Trust Theatre.
15 Impact Weight: 20 / 100
75% Reputation

The review_count and proof_links_count are both 0, indicating a total absence of trust signals or external validation. While no active ‘trust theatre’ is present in the form of fake reviews, the site fails to provide any proof paths or identity verification. It does not meet any of the proof_expectations defined in the industry dictionary.

The proof density is non-existent, with a proof_links_count of 0 across the entire crawl. There are zero instances of verifiable evidence, such as named clients or dated results, to support a business identity. The ratio of claims to proof is undefined because even basic identity claims are missing from the text.

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
0Review mentions (all pages)
0External proof links (all pages)
PageReviewsProof links
/ (home) 0 0
🔗 Identity & Technical Layer — schema JSON-LD: declared ratings, reviews & identity proof
Homepage — no schema detected (entity gap)