Back to reportSignal 08 of 09
How trusted you look to AI overall
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.
The gold standard
- 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
Verified brand entityAI cannot confirm your brand identity. This leads to hallucinations and missed recommendations.
llms.txtNo llms.txt. Early adopters capture disproportionate AI authority.
E-E-A-T signalsInsufficient E-E-A-T signals for AI citation qualification
Research-backed contentNo verifiable research citations. AI strongly prefers evidence-backed content.
Podcast presencePodcast transcripts are major LLM training data sources
Review coverage (0 platforms)Fewer than 3 review platforms. AI cannot validate your business reputation.
Real-world validationNo case studies or testimonials. AI cannot cite real-world results for your brand.
External citations (est. undefined)Low external citation count. AI fills gaps with competitor data or fabricated information.
What to do next
- Complete your brand entity. Organization schema with sameAs array linking every social profile, Wikipedia, and directory listing.
- 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.