How trusted you look to AI overall
How trusted you look to AI overall
This signal is mixed, so buyers may see you inconsistently.
Why this matters
AI authority is the composite signal that determines whether AI systems treat your brand as trustworthy. It combines entity verification, content quality, review coverage, and external citations into a single trust score. Brands with high AI authority get recommended. Brands without it get hallucinated about or ignored entirely.
Authority compounds. Every citation you earn reinforces the signals that earn you the next one. This is the Authority Flywheel: structured data feeds AI comprehension, comprehension leads to citation, citation builds authority, authority drives more citations.
- Verified brand entity (Organization schema + sameAs linking all social + Wikipedia)
- llms.txt guiding AI crawlers on brand representation
- Complete E-E-A-T signals (author expertise + publisher identity + dates)
- Research-backed content with verifiable citations
- 3+ review platforms with minimum review counts met
- Case studies and testimonials providing real-world validation
- External citations from 25+ third-party sources
What we found on your site
Hallucination risk assessment
Risk level: HIGH
When AI systems lack verified information about your brand, they fill gaps with guesses. These are the specific gaps creating hallucination risk for your business:
- No press footprint — AI invents brand history from sparse third-party signals
- No Wikipedia/Wikidata entry — primary LLM training source for brand facts is absent
- No case studies or testimonials — AI cannot cite real-world results or client outcomes for your brand
What to do next
- Create llms.txt in your site root with plain-English guidance on how AI should represent your brand.
- Build review profiles on at least 3 platforms and actively collect reviews to meet minimum thresholds.
- Publish research-backed content citing peer-reviewed sources, industry data, and verifiable statistics.