Before you hire a GEO agency
Short answer
A credible GEO provider sells measurable work, such as baselines, content and technical fixes, and repeatable re-tests. It does not sell guaranteed AI rankings. Start with a small paid pilot, write sampling rules, deliverables, data ownership and banned tactics into the contract, and judge results on shares measured over many runs.
This guide is for the person who signs off on a GEO provider: a marketing lead, business owner or procurement manager. It explains which promises are credible, which are red flags, and what the contract should say. Reading it takes about twenty minutes. Running the pilot it recommends takes one to three months.
The short version
Section titled “The short version”- Know what GEO can and can’t deliver before you take any sales calls.
- Reject anyone who guarantees rankings or sells mass-published articles.
- Ask how they measure, and expect repeated sampling, not screenshots.
- Start with a paid diagnosis and pilot, not a year-long contract.
- Write deliverables, sampling rules, data ownership and banned tactics into the contract.
- Check results yourself with the same question set before renewing.
1. Know what can be promised
Section titled “1. Know what can be promised”No AI platform documents a way to buy placement in its organic answers, or exactly how it chooses sources. That limits what any provider can honestly promise.
What a provider can credibly deliver:
- a baseline of how assistants answer your customers’ questions today;
- fixes to your own site and listings (access, facts, structure);
- accurate content on your site and in places assistants read, published under your name;
- corrections of wrong facts at their source;
- repeated measurement that shows the trend.
2. Red flags
Section titled “2. Red flags”The fastest way to filter providers is by what they offer.
Walk away if you hear any of these:
| Offer | Why it’s a red flag |
|---|---|
| “Guaranteed first place in DeepSeek / ChatGPT” | No platform documents a way to buy it, and answers vary run to run (section 1) |
| “We publish hundreds of articles a month for you” | Mass-produced content is what the CAC and Google target |
| Fake reviews, rankings or “independent” comparison posts | Spam policies, consumer law and the Qinglang campaign |
| “We see your rankings inside Google’s AI” | No tool sees inside Google (Claim: GEO tools can see your rankings inside Google's AI) |
| Results shown only as screenshots | One run proves nothing |
| They won’t name where they publish | You can’t check for hidden paid placements |
3. Ask how they measure
Section titled “3. Ask how they measure”Measurement is where weak providers are easiest to spot. Ask them to show a past report and explain each number.
Good answers include:
- a fixed question set built from real customer questions, separated into brand and category questions;
- the platform, app or API, account state, location and date of every run;
- shares with sample sizes, per platform;
- raw answers you can inspect.
The standard method is described in Measuring AI visibility by sampling prompts.
4. Start small
Section titled “4. Start small”Buy a diagnosis and a short pilot before committing to a large retainer.
If part of the fee depends on performance, the question set and sampling rules decide what you pay. Agree them before work starts, and make sure brand-name questions, which almost always return your brand, don’t count towards the target.
A pilot should cover a limited set of questions and platforms over one to three months. At the end you should be able to see the baseline, what was changed, and the re-test.
5. Put it in the contract
Section titled “5. Put it in the contract”Our minimum list:
- Deliverables: question set, baseline report, sampling logs, change log, monthly reports, handover pack.
- Publishing: every piece published in your name or a disclosed partner’s, approved by you. A full list of URLs.
- Banned tactics: fake reviews, undisclosed paid placements, mass-produced articles, invented data.
- Data ownership: questions, raw answers and reports belong to you and survive the contract.
- Exit: handover of accounts, content and data within a set period.
In China, industry standards give buyers a reference point:
The standard is voluntary. It is useful as a checklist; compliance with it is not a guarantee of quality. For regulated sectors, see also GEO for healthcare, legal and financial businesses.
What not to do
Section titled “What not to do”- Don’t sign a year-long contract before a baseline.
- Don’t pay for volume of articles. Pay for verified fixes and measured change.
- Don’t accept results you can’t reproduce with the same questions.
- Don’t let the provider own your question set or data.
- Don’t outsource accountability. Content published for you carries your name. Approve what goes out (GEO regulation in China).
How you’ll know it’s working
Section titled “How you’ll know it’s working”Re-run the pilot’s question set yourself, or with a second tool, and compare shares across rounds.
Expect movement. Judge the trend over several rounds, and ignore changes smaller than the sampling error. Report it the way For marketing leads: measuring GEO and reporting it upward describes.
Evidence at a glance
Section titled “Evidence at a glance”| Recommendation | Evidence |
|---|---|
| Reject guaranteed rankings and seeded content | Official (Google, CAC); observed (3·15 case) |
| Demand repeated sampling | Observed (Miaozhen study) |
| Prefer third-party-verifiable results | Observed (Analysys supplier report) |
| Start with a pilot; agree question set before performance fees | Observed (market report); our recommendation |
| Contract checklist | Observed (GEO Red Book); our recommendation |
| Use the CAAC standard as a checklist | Observed (news report of publication) |
| Judge trends, not single results | Observed (vendor tracking data) |
Sources
- Optimizing your website for generative AI features on Google Search
- Spam policies for Google web search
- 中央网信办部署开展“清朗·整治AI应用乱象”专项行动
- 3·15揭露GEO“洗脑”:AI大模型被投毒问题日趋严重
- 315曝光AI投毒,品牌如何做好GEO营销?
- GEO红皮书(2026):生成式引擎优化的边界、风险与治理
- 中国GEO行业应用场景成熟度与供应商选择分析报告2026
- 2026爱分析·中国GEO市场研究报告
- 2025年中国GEO行业发展报告
- 2026普拉提行业首份GEO白皮书
- 我国互联网广告服务行业首份GEO团体标准正式公布