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2026 Comparison

Findabl vs Profound

Profound uses dark, enterprise, vague visibility metrics. Findabl shows you the actual AI responses and audits every citation.

F

Findabl

Findabl is an AI Citation Intelligence platform. We send real prompts to ChatGPT, Perplexity, Claude, and Gemini, then parse every response for brand mentions, competitor citations, and the publisher domains shaping the answer. Direct measurement, daily monitoring, citation gap analysis, and content gap actions — no modeling, no estimation.

P

Profound

Profound is an enterprise AI visibility platform built around a proprietary "AI Visibility Index" and "Prompt Volumes" — both modeled estimates. It leans on opaque panel data and extrapolation rather than showing you the raw AI response. The tone is enterprise and the metrics are a black box.

Feature-by-Feature Comparison

Feature
Findabl
Profound
Direct measurement (not modeled)
Every AI response stored & auditable
Transparent methodology
Black box
Real prompts to each engine
Panel-modeled
AI engines covered
ChatGPT, Perplexity, Claude, Gemini
Major LLMs
GEO Score metric
Cited / Not cited binary
Visibility Index (modeled)
Publisher Domain Index
Citation gap analysis
Content recs only
Content gap actions
Daily monitoring
Audit-ready for compliance
Accessible to mid-market
Free entry point
Starting price
Free / $39/mo
Enterprise subscription

The Verdict

Profound gives you a modeled "AI Visibility Index" number and tells you to trust it. Findabl gives you the actual AI response, the exact citations, and the publisher domains the engines used as sources — every one auditable. For compliance-driven industries like pharma, healthcare, and financial services, "trust our model" isn’t enough. Direct measurement is.

Market Context (2026)

Profound is frequently grouped with Peec AI and AthenaHQ as enterprise GEO platforms built on modeled metrics. Findabl’s differentiator is methodological transparency: every citation is captured from a real prompt, stored, and audit-ready.

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