Trust & Proof: Dehongi – Signal Evidence & AI Readability

Dehongi displays 8 reviews on the homepage, yet the proof_links_count is 0 across all pages, indicating that these testimonials are entirely unverified. The testimonials themselves use suspiciously generic names—Jane Doe, Michael Smith, and Amelia Johnson—which are common industry placeholders for unpopulated templates. The claims of a ‘98% success rate’ and a ‘40% reduction in IT costs’ are presented as hard facts but lack any link to a case study, white paper, or third-party audit. The trust_theatre_flag is true because the site attempts to manufacture authority through these unsubstantiated metrics and placeholder personas.

The ratio of verifiable proof to unsubstantiated claims is 0:10. While the site provides quantitative claims like ’10+ Years Experience’ and ‘200+ Clients’, the absence of a single outbound link to a third-party review, certification, or client logo makes these numbers functionally meaningless. The ‘Latest Insights’ section contains dates from late 2025, suggesting current activity, but the content remains high-level and advisory rather than proof-based. There are zero links to case studies or technical documentation to support the ‘Expert guidance’ claims.