Brand growth inside AI answers
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 3 days
Every report retains frozen prompts, original answers, cited sources, and the score version.
Covered by automated regression testsFrom question to action
Identify brand, products, audience, and competitor candidates.
Freeze prompts and model versions; retain every answer.
Prioritize actions by impact, confidence, and effort.
The GEO workspace
Track mentions, recommendations, and position by model and prompt.
Learn more →Find sources AI trusts and citation opportunities your brand misses.
Learn more →Inspect crawlability, entities, content, schema, and trust signals.
Learn more →Prioritize every gap by expected impact and effort.
Learn more →Research basis
Research guides audit dimensions, repeated sampling, and confidence reporting—not fixed-growth promises.
Informs checks for verifiable statistics, primary sources, quotations, and fluent content; its effects are bounded by domain and fixed-context experiments.
Read paper ↗02Treats GEO as a multistage system spanning search activation, retrieval, reranking, citation, and absorption, motivating evidence vectors instead of a single ranking promise.
Read paper ↗03Shows 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
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.
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.
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.
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.
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.
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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