Findabl vs AthenaHQ
AthenaHQ is enterprise-priced with limited transparency. Findabl is methodologically rigorous and accessible to mid-market teams.
Findabl
Findabl is AI Citation Intelligence — measurement plus the action layer above it. We send real prompts to ChatGPT, Perplexity, Claude, and Gemini, then produce a 30-day action plan across four workstreams (entity anchoring, citation velocity, on-page content, measurement loop). Honest baseline, homonym detection, per-target competitive diagnosis, confidence intervals on every reading, and one-click self-audit publishing — no modeling, no estimation.
AthenaHQ
AthenaHQ is an enterprise AI command center with hallucination detection, persona/geo views, and broad engine coverage. Pricing and methodology are enterprise-gated, with limited public transparency on how citations are captured, modeled, or weighted. Onboarding is a multi-week process.
Feature-by-Feature Comparison
The Verdict
AthenaHQ is the enterprise option — broad engine coverage, hallucination detection, long onboarding, and a price tag to match. But its methodology is gated behind sales calls and its data pipeline isn’t publicly auditable. Findabl is the methodologically rigorous alternative for mid-market teams in regulated industries: every citation captured from a real prompt, every response stored, every source attributed. Compliance-grade rigor without enterprise pricing.
Market Context (2026)
AthenaHQ is typically grouped with Profound as an enterprise AI visibility platform. Findabl targets a different segment: mid-market marketing and compliance teams in pharma, healthcare, financial services, and legal who need audit-ready citation data without a six-figure contract.
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