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

Live product capability
Analysis evidence chain7 intents
✓ Verified
Raw answersSavedModel, time, usage, citations
Metric denominatorVisibleNo-data returns null
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Trace every conclusion

Every report retains frozen prompts, original answers, cited sources, and the score version.

Covered by automated regression tests

From question to action

Evidence first, not just a score

01

Add a domain and market

Identify brand, products, audience, and competitor candidates.

02

Analyze with leading AI models

Freeze prompts and model versions; retain every answer.

03

Get evidence, gaps, and actions

Prioritize actions by impact, confidence, and effort.

The GEO workspace

See the outcome—and why

Explore all features

AI Visibility

Track mentions, recommendations, and position by model and prompt.

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Citation Intelligence

Find sources AI trusts and citation opportunities your brand misses.

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GEO Audit

Inspect crawlability, entities, content, schema, and trust signals.

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Optimization

Prioritize every gap by expected impact and effort.

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Measured · 2026-09-24

We already measured 59 brands going global

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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.

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

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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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