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2026 Comparison

Findabl vs Profound

Profound is an enterprise, sales-led platform starting around $399/mo. Findabl is free to start and $49/mo self-serve, with a stored, auditable response archive and Actions built in.

F

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.

P

Profound

Profound is a capable enterprise AI visibility platform. Its Answer Engine Insights captures real AI responses and runs your tracked prompts daily, so what you see reflects what users actually see. Its separate Prompt Volumes feature draws on a large conversation panel to help you choose which prompts to track, and its enterprise tier covers around ten answer engines including ChatGPT, Gemini, Perplexity, and Claude. Profound is sales-led and priced for enterprise, starting around $399/mo with no free tier, so access typically goes through a demo and an annual commitment, and the broadest engine coverage including Claude sits on the enterprise plan.

Feature-by-Feature Comparison

Feature
Findabl
Profound
Captures real AI responses
Every AI response stored in a long-term auditable archive
Not the focus
AI engines covered
ChatGPT, Gemini, Perplexity, Claude
ChatGPT, Gemini, Perplexity, Claude (enterprise)
Claude (Anthropic) citation tracking
Standard paid plan
Enterprise, by request
Citation monitoring cadence
Daily on paid
Daily
Large conversation panel for prompt selection
Publisher Domain Index
Citation gap analysis
Content recs
Actions across four workstreams
Homonym / brand-collision detection
Compliance-grade source attribution
Partial
Self-serve sign-up (no sales call required)
Free entry point
Starting price
Free / $49/mo
Around $399/mo, sales-led
3cubed.ai Research, June 2026

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.

2,580
total AI runs

26 unaided buyer questions across ChatGPT, Gemini, Claude, and Perplexity.

50%
repeat consistency, live search on

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.

27%
four-engine agreement

Only 7 of 26 questions produced the same top brand across all four engines.

10%
median appearance rate

The typical brand appeared in just 1 in 10 responses for its own category question.

28.6%
source concentration

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

Profound and Findabl both capture real AI responses, so this is not a question of real versus modeled. It is a question of access, archive, and the action layer on top. Profound is enterprise and sales-led, starting around $399/mo with no free tier. Findabl is free to start and $49/mo self-serve, it stores every raw AI response in a long-term, auditable archive built for regulated industries, it tracks Claude alongside ChatGPT, Gemini, and Perplexity on its standard paid plan (Profound offers Claude too, on its enterprise tier by request), and it turns each reading into Actions plus homonym detection. If you want enterprise scale and a large prompt-selection panel, Profound is a strong fit. If you want self-serve pricing, a compliance-grade response archive, and a clear next step, Findabl fits better.

Market Context (2026)

Profound is one of the established enterprise AI visibility platforms, and like Findabl it measures real AI responses rather than estimates, with broad engine coverage including Claude on its enterprise tier. The practical differences are access and scope: Profound is sales-led and enterprise-priced with a large prompt-selection panel, while Findabl is self-serve from free, keeps a long-term auditable response archive for compliance, includes Claude tracking on its standard paid plan, and adds Actions on top of measurement.

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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