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, Perplexity, Claude, and Gemini, then produce a 30-day action plan across four workstreams (entity anchoring, citation velocity, on-page content, measurement loop). Honest baseline, homonym detection, per-target competitive diagnosis, confidence intervals on every reading, 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
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, Perplexity, Claude, or Gemini 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.
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