Research
The GeoHero Research Index
Every original study we have published about AI-engine citation behavior, gathered in one place. Each one declares its own prompt set, engines, languages, and run count, no blended numbers.
Published studies
AI Search Optimization Startups: Who's Actually Winning Visibility in 2026
14 GEO/AEO startups ranked by real AI-citation share and organic footprint, not funding size, from our own 240-response study, plus public funding and acquisition data for context.
GEO Rank Tracker: What It Should Measure (and How to Evaluate One)
A GEO rank tracker measures whether, how often, and where a brand appears in AI-engine answers. Here's exactly what a real one reports, what accuracy questions most vendor pages dodge, and how to evaluate one against a real dataset.
Most Accurate AI Visibility Metrics Software: A Framework for Judging Data Quality, Not Marketing Claims
Every AI-visibility vendor claims the most accurate data. Here's a concrete, testable framework for checking that claim yourself, plus what our own single-run methodology can and can't tell you about accuracy.
What Makes a Website 'GEO-Ready'? A Data Look at the Sites AI Engines Actually Cite
We logged every domain cited across 240 real AI-engine responses in our own July 2026 scan. Here's what the most-cited sites actually have in common, and the technical checklist that separates a GEO-ready site from one an AI crawler can't even reach.
Free AI Visibility Checker: See Who Cites Your Brand Right Now
What a real AI visibility checker actually needs to check (crawl access, structure, and live citation rate), and how our free scan measures all three in about two minutes, no credit card required.
Our GEO Case Study: From 0% Citation to a Real Signal
A running, honest case study of {{BRAND_NAME}}'s own GEO work on our own domain, starting from a measured 0% AI-citation baseline in July 2026, what we're doing about it, and how we'll report the delta as it happens.
Generative Engine Optimization Statistics: The State of AI Visibility in 2026
The state of the GEO/AI-visibility category in 2026, from original research: keyword universe size, mandatory-ranking terms, keyword difficulty, AI Overview triggering by language, and who AI engines cite today. Proprietary data, not vendor estimates.
Which Brands Do AI Engines Actually Recommend? We Asked 240 Times to Find Out
We ran 20 buying-intent prompts across ChatGPT, Claude, Gemini, and Perplexity in three languages, 240 answers total, to see who AI engines cite in the AI-visibility tool category. Semrush leads at 33%; OpenAI is by far the most wide-open engine.
Why Claude Recommends Different Brands Than ChatGPT: Real Citation Data
Most Claude vs. ChatGPT comparisons cover context windows and coding benchmarks, never which brands each one actually recommends. We measured it directly: a 26-point citation swing on the same brand, same category.
Same ruler
One methodology behind every study below
Every study in this index follows the same declared measurement rules: buying-intent prompts, engines labeled by family, run counts disclosed, and a confidence interval wherever more than one run exists. The full protocol, including sampling tiers and honesty rules, lives on the methodology page.
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