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The GEOER team · Last updated: 2026-09-24

About GEOER

We do one thing: turn how AI describes a brand into readings you can re-verify.

1. What we do

More and more, people ask AI a question before deciding what to buy. Whether that answer includes you, where you rank in it, who got the recommendation slot, which pages it cited — none of that was ever measured. GEOER measures it.

What we deliver are readings: the same batch of questions asked across several LLMs, every answer's sources and crawl time, and the gaps flagged from that. Whether a gap is worth closing — and which one to close first — is your call.

2. Why you need a third-party reading

AI answers can differ every single time. One question you ask yourself gives you a single sample: one question, one model, one moment — switch devices and ask again the same day, and the shortlist may have changed. So the claim "AI recommends you" means nothing unless it states which model, which question, and when.

We turn that into batch sampling plus archiving: the question list, the model list and crawl times all go into the report. You can re-run the same list and see exactly where the numbers diverge.

3. Three checks

  • Website GEO (free) — we visit your site the way a search crawler would and run a technical-readiness assessment: can AI crawlers read it, are llms.txt and structured data in place, are meta and semantic tags complete. The score and four-check detail appear right on the page when the check completes.
  • Brand GEO — how AI mentions your brand in category questions: mention rate, sentiment, awareness gap vs. competitors, model coverage.
  • Product / Series GEO — name a flagship product or series; we check recommendation slots and long-tail feature-term coverage.

The three run independently — take one, or all together.

4. How we test

Questions We distill 100+ questions from what real users ask in your category, spread across awareness, selection, scenarios, highlights and word of mouth. The full version always runs a fixed 60; the list ships with the report.
Models Doubao, DeepSeek and Qwen — the three most widely used today, all running in web-enabled mode. Only a web-enabled model actually fetches sources, and only then can sources be attributed.
Scoring Mention 30% + Rank 25% + Sentiment 20% + Competitor gap 15% + Model coverage 10%. How every point is composed and judged is written into the report.
Data handling Semantic clustering runs locally; client raw material is never shared or stored.
Delivery A shareable brand brief plus a full report page with an access code. The full version is always eight chapters, with itemized detail on top.

5. We give readings, not verdicts

This is a hard rule, and the line between us and services that "optimize for you":

  • The report shows AI's exact words, its recommendation list and the sources behind them. Apart from the scoring whose method we publish, we add no praise or blame.
  • We don't review other GEO providers, and we don't decide for you whether the budget is worth spending.
  • Recommendations sit in Chapter 06, presented apart from the readings; whether to adopt them is up to you.

What we can do: give you a true reading for this point in time, archive the provenance of every conclusion, and rank an actionable fix-it list by gap.

What we can't do: promise that AI will recommend you by some date, or decide for the model how it describes your brand. When models re-crawl, and when that shows up in their answers, is not ours to control.

6. Contact us

Want an anonymized sample report, or want to talk through your needs first? Just write to contact@geoer.ai. The panel on our homepage is an anonymized sample of the full version — look at the structure first, then decide.

Last updated: 2026-09-24

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