GeoHero

Benchmark

Who AI Recommends for AI-Visibility Tools

We ran our own measurement methodology against the market GeoHero competes in, before selling that methodology to anyone. This is the public result: who ChatGPT, Claude, Gemini, and Perplexity actually cite when someone asks for an AI-visibility or GEO tool.

n = 240 answers · 4 engines · Jul 2026

Twenty buying-intent prompts, in three languages, across four chat engines, one run each, 240 scored answers total. Every player below is counted by how many of those answers cited it.

AI-visibility & GEO tools, citation share
of 240 answers
  1. Semrush33.3%
  2. Profound25%
  3. Otterly.AI23.3%
  4. Peec AI19.6%
  5. Ahrefs19.6%
  6. SE Ranking15.4%
  7. Scrunch AI7.5%
  8. Writesonic5%
  9. Geoptie5%
  10. AthenaHQ3.3%
  11. LLMrefs2.9%
  12. Rankscale2.9%
  13. Bluefish AI2.1%
  14. Conductor1.7%
  15. Knowatoa0.4%
  16. Gauge0.4%
  17. Gumshoe0.4%
n = 240 answers · 4 engines · Jul 2026single-run snapshot, within-tool only

There is no GeoHero row on this board. This snapshot was captured before GeoHero existed as a citable product. A fair self-score needs its own dated run against an established category, not a placeholder zero next to competitors that have been measured for years.

Read this leaderboard honestly

A single-run snapshot, not an average

This is a single-run snapshot, not an averaged score with a confidence interval. Ask the same 20 prompts again tomorrow and some numbers will move, because LLM outputs are not fully deterministic. That is real data, not a guarantee, and a repeated, interval-backed version of this exact board is what a paid scan produces.

Within-tool only, never across engines or runs

Every number here is a share of these same 240 answers, never an absolute score compared against a different engine or a different research run. Comparing one engine to another, or this run to some other survey, is not a valid reading of this board.

This board runs the exact protocol described on our methodology page: declared prompts, declared engines, a declared run count, every time.

Read the full methodology

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