Findabl vs Evertune
Evertune is a Fortune 500 GEO platform built around a 0-100 AI Brand Index. Findabl shows you the actual AI response, stores every citation, and starts free.
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.
Evertune
Evertune is a well-funded, enterprise GEO platform that runs real prompts at scale (over a million per brand each month) across ChatGPT, Gemini, Claude, Perplexity, Meta AI, Copilot, and more, then rolls them up into a single 0-100 AI Brand Index that blends mention frequency and average position. It layers a 25M-person consumer panel on top and adds modules for content strategy, website optimization, and AI advertising. It is built for CMOs at Fortune 500 brands, starts around $3,000 per month on an annual contract, and is demo-and-sales only.
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
Evertune is a serious enterprise platform and it genuinely runs real prompts at scale, so this is not a modeled-vs-measured story. The real difference is access and evidence. Evertune rolls its data into a 0-100 AI Brand Index and starts near $3,000 a month, gated behind a sales demo. Findabl shows you the actual AI response, the exact citations, and the publisher domains each engine used, every one stored and audit-ready, and you can start free for $49 a month. For a small or mid-market team in legal, finance, or pharma that needs to see and keep the raw evidence without a six-figure commitment, Findabl is the accessible, audit-first choice.
Market Context (2026)
Evertune sits at the enterprise end of the GEO market alongside platforms like Profound and AthenaHQ, optimized for Fortune 500 CMOs who want one blended index and a full content-and-advertising stack. Findabl targets the other end: mid-market and small marketing and compliance teams who need the raw AI response, stored and auditable, at a price they can start with today.
Compare Findabl to other tools
Get Your Actions Free
Honest baseline + four-workstream Actions in 60 seconds. Real prompts, every recommendation grounded in your data.
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