Every finding here traces back to llemmy's own tracked corpus of AI answers, not a scraped article or a vibe. Confidence is graded, sample size is disclosed, and hypotheses stay labeled as hypotheses.
A weekly-tracked metric: what share of AI citations point back to a brand's own site, across a panel of tracked brands.
Only findings confirmed across multiple runs make it out of the lab. Grade C hypotheses and anything proprietary stay internal.
Curated GEO and AI-search headlines, plus an AI-generated weekly briefing that turns them into next moves.
Every question llemmy tracks against ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews feeds a shared research corpus. When a pattern holds across multiple independent runs, with no contradicting evidence, it graduates from a hunch to a published finding, with the sample size and date window attached.
Best Practices is llemmy's evolving, graded knowledge base: falsifiable claims about GEO, not received wisdom. Next to it sits the per-engine citation playbook, how ChatGPT, Claude, Perplexity, Gemini and Google AI Overviews each source an answer, and the highest-leverage move for each one.
Every research finding here carries its sample size, date window and confidence grade, and the corpus behind it is currently single-vertical, a strong directional signal, not a cross-industry census. Grade C hypotheses and anything that would reveal how we collect or score never leave the lab. As we explain in our methodology, a confidence interval fixes noise, not bias, and we say so.
Turn the research into a tracked baseline for your own brand.
The other half of what AI says about a brand.
First insights in under five minutes. No credit card. See where your own brand sits against the same research.