Findabl vs Peec AI
Both run real prompts across AI platforms every day. Findabl stores every raw response in a long-term auditable archive, includes Claude with no per-model upcharge, and starts free before $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.
Peec AI
Peec AI is a well-built AI visibility platform popular with marketers and agencies. It queries AI platforms by simulating real browser sessions, capturing the same responses real users see, and runs its prompts about every 24 hours. It covers the major AI models and offers clean dashboards, competitive benchmarking, and share-of-voice tracking. Pricing runs roughly $95 to $495/mo, and adding extra AI models is charged on top.
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
Peec AI is a genuinely capable tool. It runs real prompts across AI platforms by simulating real browser sessions, refreshes about every 24 hours, and gives marketing teams clean share-of-voice dashboards. Both products measure the same way, so the honest differences are elsewhere. Peec runs roughly $95 to $495/mo and charges extra per added AI model, while Findabl is a flat free / $49/mo with Claude included at no upcharge. Findabl also stores every raw AI response in a long-term, auditable archive, runs daily monitoring on paid plans, and ships Actions across four workstreams. For a marketing team that wants polished share-of-voice dashboards, Peec is a solid pick. For a small firm or a regulated team in legal, finance, or pharma that needs Claude coverage, a flat price, and a stored audit trail behind every citation, Findabl is the more defensible choice.
Market Context (2026)
Both Findabl and Peec AI run real prompts against live AI platforms, so neither is modeling visibility from search data. The differences are practical: price, whether Claude is included or billed per extra model, and whether every raw response is stored for later audit. Findabl keeps a flat free / $49/mo price, includes Claude, and archives every response audit-ready for 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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