Findabl vs Semrush
Semrush is a traditional platform, backlinks and keyword rankings. Findabl measures what AI engines actually cite, which shares only 4–15% with Google’s top results.
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.
Semrush
Semrush is a traditional search platform built around keyword rankings, backlinks, and domain authority. It recently bolted on an "AI Visibility" module, but the underlying data and philosophy are still rankings-first. University of Toronto research (Jan 2026) found AI engines share only 4–15% of their cited sources with Google’s top results, meaning rankings data is a poor proxy for AI citations.
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
Semrush is a rankings platform. Findabl is a citations platform. University of Toronto research shows AI engines share only 4–15% of their cited sources with Google’s top results, so rankings data can’t tell you whether ChatGPT, Gemini, Perplexity, or Claude will recommend you. If you want to know what AI actually cites, you need direct measurement of AI responses. That’s Findabl.
Market Context (2026)
Big traditional platforms like Semrush are adding AI modules, but the underlying framework is still keywords and backlinks. Findabl was built from the opposite direction: start with the AI response, extract the citations, map the publisher domains, and tell you what to do next.
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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