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Signal 08 of 09

How trusted you look to AI overall

5/100Currently limiting your visibilityRefanalytics.com

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 validationCase studies or testimonials found
External citations (est. undefined)Low external citation count. AI fills gaps with competitor data or fabricated information.

Hallucination risk assessment

Risk level: CRITICAL

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:

  • Social profiles not linked via sameAs — AI conflates your brand with similarly-named entities
  • No E-E-A-T signals — AI cannot attribute expertise, generating generic or wrong descriptions of your services
  • No Wikipedia/Wikidata entry — primary LLM training source for brand facts is absent
  • No review site profiles — G2, Trustpilot, Capterra, Clutch, BBB all missing. AI has zero third-party validation of your business
  • Low external citation count — AI fills gaps with competitor data or fabricated information

What to do next

  1. Complete your brand entity. Organization schema with sameAs array linking every social profile, Wikipedia, and directory listing.
  2. Create llms.txt in your site root with plain-English guidance on how AI should represent your brand.
  3. Build review profiles on at least 3 platforms and actively collect reviews to meet minimum thresholds.
  4. Publish research-backed content citing peer-reviewed sources, industry data, and verifiable statistics.

Learn more