Anyone doing enterprise promotion over the past two years has felt the same thing: the way customers find suppliers has changed. It used to be opening Baidu, searching keywords, and paging through results one by one. Now more and more business owners ask Doubao, Qwen, or DeepSeek directly and let AI recommend a few options. On the surface this looks like a shift in habit, but for enterprise customer acquisition it is very real—if your brand has never been mentioned by AI, customers cannot see you at the very first step of their decision.
Yunxuan Network Technology has been in digital marketing and full-network promotion for twenty years, from the earliest website building and Baidu promotion to later feed ads and short-video lead generation, and now to Generative Engine Optimization. We have served engineering firms, manufacturing factories, trading stores, and many other types of clients across the national market. This article will not talk about concepts; it will explain this one service—Generative Engine Optimization—thoroughly: what it actually does, how the process works, which enterprises it suits, and how it coordinates with online promotion and nationwide promotion.
1. Why AI Search Deserves a New Budget Allocation from Enterprises
Traditional search engines give a list of links, and users must judge for themselves which one is reliable. AI search gives an organized answer. When a user asks "Which company should I choose for a steel structure factory building," AI will directly list several companies and explain the reasons. This difference determines the change in enterprise exposure logic: in the past, competition was about ranking position; now it is about whether you are written into the AI answer.
From the client inquiries we receive, several phenomena are already quite clear. First, the research cycle for B2B customers has moved earlier. Many people complete preliminary screening through AI before they ever contact a supplier. Second, AI answers carry a trust endorsement effect; customers tend to assume that a mentioned company is "somewhat well-known in the industry." Third, the content sources cited by AI are relatively concentrated, mainly from clearly structured official websites, industry media articles, Q&A platforms, and public materials. Whoever can enter this content pool has a chance to be mentioned repeatedly.
Generative Engine Optimization targets exactly this. It is not about stuffing keywords onto pages, but about making enterprise information exist in a form that AI can understand and is willing to cite. Yunxuan Network Technology positions this service as a new entry point in an enterprise's full-network promotion system, alongside SEO optimization, Baidu promotion, and feed ads—not as a replacement.
2. What Generative Engine Optimization Specifically Does: A Four-Stage Service Process
1. Diagnosis: First See What AI Currently Says About You
The first step of service launch is not writing content; it is fact-finding. Around the core questions in the client's industry, we conduct a systematic round of questioning on platforms such as Doubao, Qwen, and DeepSeek, recording three types of information: whether AI mentions the client's brand, whether the description is accurate when it does, and how frequently and from what angle competitors are mentioned. At the same time, we review the client's existing official website, WeChat official account, industry articles, and encyclopedia-type materials to judge whether the content foundation is sufficient.
The output of this step is a diagnostic report that clearly explains where the gaps are. Some clients have official website information that is too old, so AI cites materials from three years ago. Others have almost no citable content across the web, so AI naturally has nothing to recommend. Only after the diagnosis is clear can subsequent actions have direction.
2. Content Restructuring: Write Enterprise Information in a Form AI Is Willing to Cite
Content cited by AI shares several common features: a clear topic, clear structure, specific facts, and credible sources. At the execution level, we create three types of content.
- Restructuring the underlying content of the official website. This is the foundational work. Product and service pages must clearly state what is done, which regions are served, what scale of enterprise is suitable, and what actual cases exist, avoiding long passages of empty talk. When Yunxuan Network Technology develops custom websites, we also take into account the underlying architecture adapted for AI retrieval, so that desktop, mobile, and AI crawling can all read smoothly.
- Laying out Q&A-style content. We write content around questions customers actually ask, such as "How should I choose a supplier in XX industry" or "What is the approximate cycle for XX project." This type of content naturally matches AI answer scenarios and has a higher probability of being cited.
- Supplementing authoritative sources. Industry media articles, platform certification materials, and publicly verifiable project information are the basis on which AI judges credibility. More content is not always better; every piece must be verifiable.
3. Distribution and Indexing: Let Content Truly Enter AI's Field of View
Writing content is only half the product. We distribute according to the crawling preferences of different platforms, ensure the structure and update frequency of official website content, publish third-party content on platforms where AI crawling is active, and maintain consistency of brand name, business description, and contact information across the web. Information inconsistency is the reason many enterprises are ignored by AI—the official website says business A, while industry articles say business B, and AI cannot form a stable understanding.
4. Monitoring and Iteration: AI Answers Are Dynamic
AI models update, and competitors are also optimizing, so GEO is not a one-time project. We monitor mention rates monthly, looking at the frequency of brand appearances under core questions, description accuracy, and relative position against competitors, then adjust content direction based on the results. This process is similar to the ranking-tracking logic in SEO optimization, except the object of observation changes from search results to AI answers.
3. Which Enterprises Are Suited to Start with Generative Engine Optimization
Not every enterprise is suited to invest immediately. Based on our service experience, the following types of clients tend to have a relatively higher return on GEO investment.
The first type is B2B enterprises doing nationwide business. Engineering companies, equipment manufacturers, and raw material suppliers have customers spread across the country. Covering them through offline relationships costs too much, while AI search is inherently cross-regional. These enterprises often already have official websites and some industry accumulation; what they lack is organizing information into a form AI can use.
The second type is industries with long decision cycles and high order values. Customers repeatedly research before signing, and AI carries significant influence at this stage. One mention by AI may save an entire round of cold visits.
The third type is enterprises whose brand awareness is lower than their actual strength. Many factories that have operated for over a decade have good products but almost no online presence. GEO can help such enterprises convert offline reputation into online searchable content assets.
Conversely, if an enterprise does not even have a basic official website, or its business scope is still changing frequently, we generally recommend first building a solid website and basic online promotion before entering the GEO stage. If the order is wrong, the money is not well spent.
4. How GEO Coordinates with Online Promotion and Nationwide Promotion
Clients often ask: If we already do Baidu promotion, do we still need Generative Engine Optimization? These two things solve problems at different stages.
Baidu promotion and feed ads are active customer acquisition: you spend money to buy exposure, customers click in, and sales follows up. Their characteristic is fast volume, but traffic stops when spending stops. Generative Engine Optimization is passive customer acquisition: content settles there and appears when customers actively search and ask. Its characteristic is slow onset but long duration, with diminishing marginal costs.
The combination we usually recommend is: use Baidu promotion and feed ads to ensure short-term inquiry volume, use SEO optimization and GEO to build a long-term traffic foundation, with both sharing the same content assets. At the website building stage, get the content structure right; at the promotion stage, bring traffic in; at the GEO stage, let this content continue to work in AI search. The full-service digital marketing managed solution provided by Yunxuan Network Technology connects these links into a closed loop, avoiding the need for clients to coordinate back and forth among multiple service providers and suffer information gaps.
The implementation of nationwide promotion follows the same logic. Serving customers nationwide means content must cover search habits in different regions, promotion accounts must be able to allocate budgets by region, and region-related questions in AI search must also have corresponding content to承接. A manufacturing factory we served achieved simultaneous growth in domestic and foreign trade inquiries through multi-channel exposure combined with GEO content placement. It did not rely on a single channel exploding, but on mutual reinforcement among channels.
5. Several Pitfalls Enterprises Easily Fall into When Doing GEO Themselves
This past year, many clients tried a round on their own before coming to us. The pitfalls they hit are fairly concentrated, so we list them for reference.
Pitfall one: treating GEO as a press-release volume contest. They think the more articles published, the more likely AI will mention them. In reality, low-quality and repetitive articles will not only fail to be cited, but may also dilute the credibility of brand information. AI values accuracy of content and consistency of sources more.
Pitfall two: writing official website content as promotional slogans. Full of "industry-leading" and "trustworthy," with no specific business description, service regions, or case information. AI cannot extract effective facts from such content, so it naturally will not cite it. This must be considered during website building; page structure, field design, and update mechanisms must all serve the content.
Pitfall three: ignoring information consistency. The company name is written differently on different platforms, business descriptions differ from one place to another, and contact information is updated on the official website but not on other platforms. These details directly affect AI's judgment of enterprise information.
Pitfall four: expecting immediate results. The effective cycle of GEO is usually measured in months, slower than feed ads. If an enterprise urgently needs short-term inquiries, it should first use Baidu promotion as a base while advancing GEO in parallel, rather than betting everything on one item.
6. From Website Building to Inquiry: A Complete Service Perspective
Looking at the links above together, enterprise customer acquisition is actually a chain: the website is the receiving position, content is the ammunition, promotion is the launch channel, the AI agent is the reception window, and GEO is the mechanism that keeps the ammunition continuously effective in AI search.
The service design of Yunxuan Network Technology is built around this chain. Custom website development solves the position problem, balancing brand image, mobile experience, and AI retrieval indexing. Full-network brand promotion covers search engines, short video, local platforms, and other channels. Baidu promotion and feed ads handle precise traffic acquisition. AI agent development takes on enterprise-specific Q&A, reception, and customer acquisition functions, automatically handling nighttime inquiries as well, with a clear increase in lead capture rate. GEO then transforms these content assets into long-term exposure in AI search.
For physical stores and local lifestyle clients, we also combine local platform operations and short-video content to create local customer acquisition solutions. It should be noted that our service scope is nationwide; office location does not affect our service radius. Whether it is a manufacturing enterprise on the coast or an engineering company in the central and western regions, the service process and delivery standards are consistent.
7. A Few Suggestions for Enterprises Currently Considering GEO
First, take stock of your own content assets. How many effective pages does the official website have, and how much industry material can be publicly cited? These determine the starting point of GEO.
Second, consider GEO within the overall promotion budget rather than carving out a separate piece. It shares content assets with online promotion and nationwide promotion, and coordination makes it more efficient.
Third, when choosing a service provider, check whether the process is complete. The four stages of diagnosis, content, distribution, and monitoring are indispensable. Providers that only promise to "get AI to mention you" but do not do monitoring and iteration will find it hard to sustain results.
Fourth, allow a reasonable cycle. GEO is asset-accumulation investment. Looking at trends in three months and results in six months is a more pragmatic expectation.
The traffic dividend of AI search is still in its early stage. Enterprises that lay out now will have built their content barriers by the time competitors react. Yunxuan Network Technology is willing to open this methodology to more enterprises, starting with a diagnosis to see what your brand looks like in AI's eyes.