Trust Signals
Does Your Site Show the Proof AI Systems Look For?
AI systems weigh visible proof before treating a source as citable: reviews, credentials, years in business, authorship, physical address, and other experience-and-expertise signals. Answer Patch checks for the proof points that matter in an AI-search context — not just a traditional SEO trust checklist, but the specific signals AI systems are known to look for when deciding whether to quote your site or a competitor's.
The audit
What Gets Checked
- Reviews and testimonials: are third-party or on-site reviews visible on crawled pages?
- Credentials and certifications: does the site surface professional qualifications?
- Authorship signals: are content authors identified with names and roles?
- Physical address and contact details: can AI verify the business is real and reachable?
- Years in business and experience markers: does the site show a track record?
Why it matters
Why Trust Signals Matters for AI Search
When an AI system has two sources that both answer the question, it picks the one with more visible proof. Reviews, credentials, authorship, and a physical address are the experience-and-expertise signals (E-E-A-T) that tip the balance.
A site with clean schema and great content but no visible proof of who wrote it or why they're qualified loses to a competitor that shows the receipts. Trust signals are what turn a good answer into a cited answer.
Example findings
What a Scan Might Find
- High
No credentials, certifications, or years-in-business found on any crawled page
- Medium
Reviews present on the site but not surfaced in structured data
- Low
Author names appear on blog posts but lack role or bio information
Illustrative examples — not from a real scan.
Other audit pillars
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