Vericite runs every citation through a dual-model verification pipeline — an AI judge and an independent verifier must reach consensus before any result is confirmed.
“Every citation passes through Vericite — our dual-model verification engine that eliminates false positives.”
How it works
Every search query is classified by intent — local, buying, informational, comparison, or branded — to set the verification context.
A dedicated judge model performs deep semantic analysis of the AI response, examining how your business is mentioned, positioned, and cited.
An independent verifier model audits the judge's findings. Both models must agree before a citation is confirmed.
Only citations that pass dual-model consensus are reported — eliminating false positives and giving you data you can trust.
Key capabilities
Two independent AI models must agree on every citation. No single point of failure.
Verification adjusts based on search intent — a buying query is scored differently than an informational one.
Every citation gets a confidence score from 0-100, so you know exactly how strong each mention is.
Citations are verified in real-time as they're discovered — no batch delays or stale data.
Verification results are immutable once confirmed. Full audit trail for every citation check.
Verifies citations across ChatGPT, Claude, Gemini, Perplexity, and Grok with platform-specific rules.
Real-world impact
Large teams need citation data they can present to stakeholders without caveats. Vericite's dual verification means every report is boardroom-ready.
Agencies managing multiple client accounts can't afford false positives damaging credibility. Vericite ensures every client report is bulletproof.
Product citations directly impact purchase decisions. Vericite confirms your products are genuinely cited — not just keyword-matched.
Start verifying your AI search citations with dual-model consensus. No false positives, no guesswork.