On October 10, 2026, Mengniu issued a public tender to procure full-scope Generative Engine Optimization (GEO) services for 2026–2028, covering all brands under the Group, with the goal of improving content presentation and search visibility on mainstream AI platforms.
GEO refers to a set of methods that make a company's content easier for generative AI to retrieve, understand, and cite. The difference between GEO and SEO is: SEO competes for ranking positions on search engine results pages, where users will still click into your website; GEO competes over whether AI will use your information as a basis when generating answers.
Many people's first reaction upon seeing this news is: Mengniu is a household name—does it still need to do this? The answer lies in the three constraints in the tender document.
1. The three most important things to read in a tender document.
| Clause | What it says |
|---|---|
| Excludes media placement, ad exposure, and traffic purchasing | This money does not buy exposure, clicks, or conversions |
| Requires a full-site closed loop: search optimization, an authoritative source matrix, data monitoring, and compliant content production | If any link is missing, it is not considered a complete delivery |
| Consortium bids are not accepted | Patchwork outsourcing is directly excluded |
Taken together, the three make the meaning clear: what Mengniu is buying is not “help me say a few more things online,” but “enable AI to accurately state who I am when answering questions.”
The former is communication; the latter is an asset.
II. Why Has Name Recognition Become a Liability Instead?
Here we need to introduce a concept: the silent-asset brand.
It refers to companies that have accumulated solid assets offline—channels, customers, production capacity, reputation, industry standing—but these assets have not been converted into public, stable information that machines can retrieve and verify.
The result is this: everyone in the industry knows you, and your customers have you in mind, but the moment AI opens its mouth, it either doesn't mention you at all or offers the most generic of introductions.
The reason is not complicated. AI does not draw on human memory; it only extracts from public sources what it considers verifiable. The greater your offline fame and the more it depends on word of mouth, the more of a blank that part of your assets becomes to AI.
Mengniu's problem is not that no one knows it, but that AI knows it too superficially. If this is true even of a household-name brand, then for companies that have been around for ten or twenty-plus years and are recognized only locally and within their industry, the situation will only be more pronounced.
III. The real barrier is not writing, but translation
This is the core point this article wants to make.
Most people understand GEO as “write more articles and publish on more platforms.” That understanding isn’t wrong, but it only scratches the surface.
The real difficulty of GEO is translating what a company already has—production capacity, processes, qualifications, delivery standards, service workflows, and customer cases—into evidence that AI can read, verify, and repeatedly cite.
This requires at least three capabilities to be present at the same time:
First, understand websites. Content must be crawlable, parseable, and structured, which means the website itself must first meet the standards. On websites with chaotic structure, slow loading, and scattered information, no matter how well the content is written, it cannot be crawled.
Second, understand the business. Industry parameters, definitions, and judgment criteria cannot be written by outsiders. What they write is generic language, and AI will not treat it as evidence.
Third, be accountable for results. After content is published, whether AI actually cites it and whether the citations are correct require ongoing monitoring and correction. A service that delivers only actions but not results is as good as not done.
This also explains why the clause “consortium bids are not accepted” appears. If monitoring, content, and sources are split among three companies, and each is responsible only for its own part, ultimately no one is responsible for “what AI actually says about Mengniu.” What Mengniu wants is a service provider that can take responsibility for the final result, not three suppliers each doing half the work.
IV. Industry standards have just been implemented; this is no longer a matter of one-sided self-promotion.
Another timing point is worth noting.
The three GEO association standards administered by the China Advertising Association are scheduled to be released on October 13, 2026, and implemented on October 23, covering three dimensions: service requirements, performance verification, and content source classification.
Mengniu issued its tender on October 10, three days before the standards were released.
This sequence need not be overinterpreted, but it illustrates one thing: GEO is moving from a stage where “service providers define results themselves” to a stage where “standards are available for reference.” For an emerging service category, this is a necessary step—without performance verification standards, the client cannot accept the deliverables, and the vendor cannot prove that it has done the work.
Five. Those repeatedly cited figures—don't be so quick to believe them
Around this Mengniu tender, the two most widely circulated sets of data are: a certain white paper claims that the mention share of the brand's core selling points in AI contexts fell from 34.5% to 5.6%; a certain monitoring tool claims that the AI brand indices of Yili and Mengniu widened within a few months from 22 points and 21 points to 35.3 points and 23.1 points.
These two sets of figures have been widely repeated in the industry, but their sample basis, calculation methods, and verification methods cannot be found through public channels.
This is not to say they are necessarily wrong. It is to say: an industry that cannot even verify its effects, using unverifiable data to argue for its own necessity, does not hold up logically.
What is truly verifiable are three things: the tender announcement itself, the provisions of the group standard, and whether content on companies' own sites is cited by AI. Anyone can check these three.
Six: What can most enterprises learn?
Mengniu's approach doesn't need to be copied—its budget and resources aren't something an ordinary company can benchmark against. But its judgment can be borrowed: first take stock of what you have, then see whether AI can read it.
Specifically, four steps:
One, take stock. Organize your company introduction, qualifications, production capacity, processes, case studies, and service standards into structured text. The things you've talked about offline for ten years first need to become written text.
Two, position. The official website is the primary source of truth; it must be crawlable, organized by topic, and contain clear entity information—company name, location, business scope, and delivery standards. Only after this step is done should you talk about distribution.
Three, verify. Regularly ask mainstream AI platforms a few questions customers would really ask: "Which company in this category is reliable?" "Who has been doing this the longest in this area?" See how AI answers, whether the answers are correct, and whether you are included.
Four, sustain. GEO is not a one-time project. AI indexes are being updated, and your content must be updated too; otherwise, you'll quickly be back to "no such entity found."
Of the four steps, the ones most easily skipped are the first and third. The former is tedious, and the latter requires facing results that may not look very good.
VII. Our View
We're not going to make a lot of noise about this.
GEO is headed in the right direction. Search is shifting from “handing you a pile of links” to “handing you an answer,” and businesses want to be part of that answer — that need is real. But it's still early days: measurement standards have only just landed, proof of results is still immature, and a large number of vendors are using unverifiable data to sell unverifiable promises.
For those of us in enterprise services, the thing to hold onto at this stage is this: don't turn “helping clients get seen by AI” into just another press-release business.
What are we doing?
From 2016 to now, HOLYPro has been doing the same kind of thing: turning a company's information into something that truly stands firm on the internet.
Specifically, there are three parts.
Websites and mini programs are the foundation. Structure, performance, content organization, and entity information determine whether AI can crawl and understand them. If the foundation is not up to standard, whatever is done afterward is wasted.
HOLYPro Digital Platform lets content be placed on your own servers, with publishing, updating, and monitoring all completed in one place. Which content is crawled, cited, or called can be checked through records, with no need to judge by feeling.
AI customer service is an extension of the same logic—organizing a company's products, services, and FAQs into knowledge that machines can call upon, so customer questions get accurate answers at the first opportunity.
The three businesses do the same thing: making a company's assets not only visible to people but also understandable to machines. This is not fast work, but it is verifiable.
In the past, when companies met, they talked about “how much did you spend on advertising this year”; in the future, they may ask one more question—is your company an asset or a liability to AI?
Frequently Asked Questions
Q: Is Mengniu's GEO tender real?
A: Yes. It is a public tender published on October 10, 2026, procuring GEO full-domain services for 2026–2028. The tender announcement can be found on Mengniu's official website and public procurement platforms.
Q: Do small and medium-sized enterprises need to do GEO?
A: If customers will ask AI, "Which supplier in this category is reliable?", then yes. The way to judge is simple: take three questions your customers would really ask and ask mainstream AI tools, then see whether your company appears in the answers and whether what is said is correct. If you are absent both times, that area is blank.
Q: What is the difference between GEO and SEO?
A: SEO competes for ranking positions on search results pages, and users still click through to your website; GEO competes to have AI treat you as a basis when generating answers, and users may not click through at all. The former compares rankings; the latter compares credibility.
Q: How much does GEO cost?
A: It varies enormously and depends on three things: the content foundation of your existing site, the range of topics that need to be covered, and whether ongoing monitoring is required. Projects with a weak foundation, broad topics, and monthly verification requirements will cost significantly more than projects that only involve content organization. Any service that quotes a fixed price before clarifying these three things deserves caution.