Get your brand named in the answers DeepSeek, Doubao and ERNIE give your customers.
Customers no longer scroll a list of links; they ask an assistant and act on the answer. We measure where your brand stands in those answers across the platforms your customers actually use, then close the gaps.
A person runs it across every platform we cover and sends the result back, usually within one working day. This is not an instant automated score.
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Which provider in Shenzhen is reliable for this?
A few names come up consistently. Your brand[1] is usually mentioned first, described as the provider that publishes its measurement method[2] . Two competitors are listed after it.
Ten links became one answer.
Search used to end with a list you compared yourself. Now it ends with one synthesized answer that names two or three brands — and the rest are not in the room.
- yourbrand.com#1
- competitor-a.com#2
- review-site.cn#3
- baike.example.cn#4
- forum-thread.cn#5
You optimized for a position. The user still did the choosing.
Three providers come up consistently: your brand , competitor A and competitor B.
- Citedyour brand
- Mentionedcompetitor A
- Mentionedcompetitor B
The model does the choosing. A brand it does not name is a brand the user never sees.
Four things a model needs before it will name you.
GEO is not a trick played on the model. It ensures the material a model reads about your brand is accurate, structured, consistent and retrievable.
Semantic keyword mapping
Identify the questions customers actually ask, then determine which of them your brand can realistically win.
ExploreAuthoritative source matrix
Place accurate material where models look: industry media, B2B platforms, encyclopedias, your own site.
ExploreMachine-readable brand facts
Structured data, consistent entity information, pages that render without JavaScript.
ExploreMeasurement that survives scrutiny
The same question set, re-run on a schedule, so a change in the number reflects a change in reality.
ExploreYour customers are asking AI. The answer names someone else.
These are the six situations brands come to us with. All are symptoms of the same cause: the model has no consistent, verifiable material about you to draw on.
Diagnose, fix, publish, re-measure.
Every engagement runs this loop. The fourth step is the one most vendors skip, and it is the only step that establishes whether the first three worked.
The report you receive is the one we work from.
Every figure traces back to a question, a platform and a date. Anything that cannot be traced back does not go in the report.
Which material the models actually quoted. A source that never gets quoted is a source not worth paying for.
The same questions, scored for you and for the rivals you named. A gap here points at a source you are missing and they are not.
Delivered as a shared dashboard plus a downloadable report at the end of each period. The question set is agreed with you before the baseline and does not change afterwards — a question set that changes between runs makes the two numbers incomparable.
Your brand does not have one AI visibility number. It has one per platform.
Each platform weights sources differently, so the gaps between them indicate what is missing.
Same question, same brand, a different result on each platform. The gaps are the finding: a platform that only mentions you is reading a different set of sources than one that cites you.
GEO for DeepSeek
The one that checks whether your claims hold up.
ExploreGEO for Doubao
The one that listens to what users say about you.
ExploreGEO for ERNIE Bot
The one where classic SEO still pays.
ExploreGEO for Tongyi Qianwen
The one that is best at product questions.
ExploreGEO for Tencent Yuanbao
The one that can see inside WeChat.
ExploreGEO for Kimi
The one that will actually read the whole thing.
ExploreThe loop is the same. What changes is everything inside it.
Advertising rules, decision cycles and where the buying conversation happens differ enough that one playbook does not transfer.
Industrial equipment
Buyers ask about the job, not about the brand.
ExploreBusiness services / B2B
The shortlist is now assembled before you hear about it.
ExploreLegal services
The industry where the constraint is the strategy.
ExploreLocal services
Where the map listing matters more than the website.
ExploreEducation and training
Long research, high stakes, heavy AI use.
ExploreConsumer electronics
The comparison happens before anyone visits your page.
ExploreSkincare and cosmetics
Asked by skin type and ingredient, never by brand.
ExploreHealthcare
Where the model itself is cautious — and that changes the target.
ExploreWe do not publish a price list. Here is everything else.
How much work a brand needs depends on two factors that are unknown until measured. What can be published is the structure. If a provider cannot explain these four points, price is not the primary concern.
How generative engines actually pick sources.
Method notes, platform observations, and changes in the industry.
品牌实体与知识图谱：AI 怎样认出一个品牌，实体优化该做什么
AI 把两家名字相近的公司说混、把成立年份说错，多半不是措辞问题，而是品牌实体没有立稳。本文解释品牌实体与知识图谱的关系，说明哪些事实最能帮 AI 识别品牌，以及实体优化能做到和做不到的事。
Read腾讯元宝与公众号内容：元宝引用公众号文章，微信生态 GEO 该怎么做
腾讯元宝在官方介绍里写明，联网搜索覆盖公众号、视频号等腾讯生态信源，而公众号文章对遵守 robots 规则的通用爬虫是关闭的。本文据此梳理公众号内容在元宝里的位置、它与开放网页的关系，以及微信生态 GEO 在测量上要注意的地方。
ReadAI 声量份额怎么算：竞品在 AI 回答里占多少，才是可以比较的数字
被点名率会随整个品类一起涨跌，AI 声量份额看的是被说出口的品牌名里有多少属于自己。本文讲清楚它的计算口径、对称计数为什么要紧、最常见的几种算高方式，以及这个数字说明不了什么。
ReadQuestions teams ask before they start
What is GEO?
GEO (Generative Engine Optimization) is the work of getting a brand named, recommended and cited inside the answers that AI assistants generate. SEO competes for a position in a list of links; GEO competes for a sentence in the answer itself.
How is GEO different from SEO?
SEO optimizes a page so a search engine ranks it. GEO optimizes the evidence about a brand across the whole web, so a model has consistent, verifiable material to draw on when it answers. The two overlap on content quality and structured data, but the deliverable is different: a ranking versus a mention.
Which AI platforms do you cover?
DeepSeek, Doubao, ERNIE Bot, Tongyi Qianwen, Tencent Yuanbao and Kimi — the assistants your customers actually use. Each one weights sources differently, so the same content does not carry equally everywhere.
How long does it take to see results?
The first changes usually show up in a few days on the platforms that search the live web, because those read new content quickly. Platforms that rely more on training data move on their own release cycle and can take considerably longer. Anyone who promises a fixed number of days for every platform is describing sales copy, not how these systems work.
Can you guarantee my brand ranks first?
No. AI answers are generated per question and vary between runs, platforms and phrasings — there is no single ranking to hold. What can be measured is how often a brand is named across a fixed set of real customer questions, and that number is what we report on.
What do we need to do on our side?
Three things: supply the questions your customers actually ask, taken from sales and support records; confirm every piece of material before it is published; and allocate engineering time for the site readability fixes. This usually amounts to around two hours a week. Without it, an engagement stalls at the baseline.
How is the result accepted?
By re-measuring the question set frozen at signing and comparing three indicators: mention rate, share of voice and source coverage, together with the raw answer records for each round. What is accepted is those three numbers and the evidence behind them, not a synthesised 'AI ranking' score.
Is it too early to start GEO?
The relevant test is not industry-wide adoption but whether your own customers are already asking AI. That can be measured directly: run your question set across the platforms once and see whether the answers already name specific brands. Where they do, the shortlist has usually begun to settle.
Find out where your brand actually stands in AI answers.
An AI visibility diagnosis across the platforms your customers use, on your real questions. No charge for the first look.