Brand growth inside AI answers
Make every AI recommendation traceable.
See how leading AI models mention, recommend, and cite your brand—then turn the evidence into your next action.
3 Credits after email verification · valid for 30 days
Every report retains frozen prompts, original answers, cited sources, and the score version.
Covered by automated regression testsFrom question to action
Evidence first, not just a score
Add a domain and market
Identify brand, products, audience, and competitor candidates.
Analyze with leading AI models
Freeze prompts and model versions; retain every answer.
Get evidence, gaps, and actions
Prioritize actions by impact, confidence, and effort.
The GEO workspace
See the outcome—and why
AI Visibility
Track mentions, recommendations, and position by model and prompt.
Learn more →Citation Intelligence
Find sources AI trusts and citation opportunities your brand misses.
Learn more →GEO Audit
Inspect crawlability, entities, content, schema, and trust signals.
Learn more →Optimization
Prioritize every gap by expected impact and effort.
Learn more →Measured · 2026-09-24
We already measured 59 brands going global
Four real prompts each to ChatGPT and Qwen, 428 responses. Average mention rate 72.9%, but average citation rate only 48%: the AIs know these brands, yet often cite someone else's pages.
6 brands were mentioned but never cited (Eufy, Segway Ninebot, Vasagle and others). Every prompt and answer is inspectable.
Research basis
Turn research into verifiable optimization actions
Research guides audit dimensions, repeated sampling, and confidence reporting—not fixed-growth promises.
GEO: Generative Engine Optimization
Aggarwal et al. · arXiv:2311.09735Informs checks for verifiable statistics, primary sources, quotations, and fluent content; its effects are bounded by domain and fixed-context experiments.
Read paper ↗02Optimizing Visibility in Generative Engines: A Critical Survey
Martinez · arXiv:2607.14035 · preprintTreats GEO as a multistage system spanning search activation, retrieval, reranking, citation, and absorption, motivating evidence vectors instead of a single ranking promise.
Read paper ↗03Quantifying Uncertainty in AI Visibility
Sielinski · arXiv:2603.08924 · preprintShows substantial repeated and cross-day variability, motivating sample sizes, uncertainty intervals, and repeated sampling for core prompts.
Read paper ↗Note: the two 2026 sources are preprints. The platform preserves research boundaries and relies on real samples, raw answers, and like-for-like retesting.
FAQ
Know these answers before your first analysis
What is AI GEO, and how is it different from SEO?
AI GEO focuses on whether generative AI systems discover, mention, recommend, and cite a brand or website. SEO focuses more on crawling, indexing, and ranking in traditional search. They share foundations such as crawlability, clear entities, and trustworthy content, while GEO also requires repeated observation of generated answers and citation evidence.
How does the platform complete a GEO analysis?
The system crawls the website, identifies brand and page signals, creates and runs several user-intent prompts, and parses mentions, recommendations, citations, and competitors from valid AI answers. Reports retain prompts, answers, sources, timestamps, samples, and score versions so conclusions remain traceable.
How should I interpret the GEO Score and confidence?
The GEO Score combines technical readiness, prompt coverage, AI visibility, citation quality, and sample confidence. It is a decision signal for the current sample, not a permanent rank. Review valid sample count, coverage, intervals, and raw answers alongside the score.
Which optimization methods are research-informed?
The platform draws on GEO research covering verifiable statistics, primary sources, attributed quotations, entity clarity, and fluent content. Newer work also motivates repeated sampling, uncertainty intervals, and multidimensional visibility. Findings are bounded by their experimental settings, so we do not promise a fixed uplift.
Can optimization guarantee citations, rankings, or traffic?
No. Search activation, retrieval, reranking, citation, and answer generation vary across AI platforms. The platform provides a traceable baseline, prioritized actions, and like-for-like retesting rather than ranking or revenue guarantees.
How many credits does an analysis use?
One credit is reserved at start and captured only after a complete analysis produces a usable report. Platform failures or runs without a complete report release the reservation.
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