Trust & Proof: 去哪儿网 (Qunar.com) – Signal Evidence & AI Readability

去哪儿网 (Qunar.com)

(https://qunar.com) 📸 Data Snapshot: June 19, 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.
2 Impact Weight: 20 / 100
10% Reputation

The site displays a trust_theatre_flag of false, primarily because it fails to provide any reviews or proof links at all. With a review_count of 0 and a proof_links_count of 0, the bold claims about being the best path for ticket booking are entirely unsubstantiated. There are zero outbound links to external validation sources, certifications, or financial protection bodies like those expected in the industry dictionary. This creates a total vacuum of trust and verified proof.

The ratio of verifiable evidence to claims is 0:1. The meta description makes at least six distinct claims (best deals, real-time pricing, 1-fold discounts, airline partnerships) yet the proof_links_count is zero. There is no evidence of financial protection, trade body membership, or transparent pricing structures as required by the industry proof expectations. The site relies entirely on vague assertions rather than specific, linkable evidence.

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)