Findabl vs AthenaHQ
AthenaHQ is a capable, broad-coverage AI visibility platform. Findabl is the lower-cost, transparent alternative that stores every AI response for audit, with self-serve pricing from free to $49/mo.
Findabl
Findabl is AI Citation Intelligence: measurement plus the action layer above it. We send real prompts to ChatGPT, Gemini, Perplexity, and Claude, then produce Actions across four workstreams (entity anchoring, citation velocity, on-page content, measurement loop). Honest baseline, homonym detection, per-target competitive diagnosis, confidence intervals after four weeks of tracking, and one-click self-audit publishing. No modeling, no estimation.
AthenaHQ
AthenaHQ is an AI visibility platform that captures real AI responses across roughly eight engines, with hallucination detection and persona and geo views. One credit equals one real AI answer, saved with its placement and citations, so its tracking is grounded in real responses rather than estimates. It has a self-serve tier around $295 per month, a Growth plan around $545, and an Enterprise tier at $2,000 and up for larger teams.
Feature-by-Feature Comparison
AI recommendations are probability-based
Noriko Yokoi, Thorsten Linz, and the 3cubed.ai Research Team ran a pre-registered study across 26 unaided buyer questions, four AI engines, and three controlled conditions. The result: brand recommendations shift by engine, query, retrieval source, and time.
26 unaided buyer questions across ChatGPT, Gemini, Claude, and Perplexity.
With live web search on, the odds of the same brand leading twice in a row fall to roughly 50%, even for well-known brands.
Only 7 of 26 questions produced the same top brand across all four engines.
The typical brand appeared in just 1 in 10 responses for its own category question.
The top 10 cited domains account for 28.6% of all AI source citations.
What marketers should measure
- One-off checks miss the real picture. Brands need repeated measurement across prompts, engines, and time.
- Engine disagreement is opportunity. If the four engines pick different brands, no one owns that buyer question yet.
- Gatekeeper publications matter. The highest-leverage move is knowing which source domains AI engines cite most in your category.
- Appearance rate beats yes-or-no status. The useful question is how often you appear, where, and whether that number is moving.
Put the study to work
Findabl tests your buyer questions across ChatGPT, Gemini, Claude, and Perplexity so you can see your own citation coverage, source domains, and gaps.
Get Your Free GEO Score →Download the ungated white paper →The Verdict
AthenaHQ is a strong, broad-coverage option. It captures real AI responses across about eight engines, adds hallucination detection, and offers self-serve plans around $295 per month up to an Enterprise tier. Findabl competes on three things. First, price: a free scan and self-serve plans from $49 per month, well below AthenaHQ's entry tier. Second, transparency: our blended GEO Score and capture method are published, not gated. Third, a long-term, auditable archive: every raw AI response is stored so regulated teams in pharma, healthcare, financial services, and legal can show their work. Add Claude alongside ChatGPT, Gemini, and Perplexity, daily monitoring on paid plans, and Actions across four workstreams, and Findabl is the accessible, audit-ready choice for smaller and mid-market teams.
Market Context (2026)
AthenaHQ is often grouped with broad AI visibility platforms like Profound. Both AthenaHQ and Findabl ground their tracking in real AI responses rather than estimates. Findabl's focus is a lower entry price, published methodology, and a stored, auditable archive aimed at smaller and mid-market teams in regulated industries.
Compare Findabl to other tools
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Honest baseline + four-workstream Actions in 60 seconds. Real prompts, every recommendation grounded in your data.
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