Ninety percent of GEO spending is wasting a resource you may not even realize you have
—not money, not content, butinsight into human behavior.
When you stay up late writing what you believe is a flawless industry analysis, publish it on your company blog, and eagerly wait for AI to recommend it, the result may be complete silence.
The problem is not that your content is not good enough. It is that you are still usinga search-engine-pleasing mindsetto do GEO. AI search does not care about your keyword density. It cares about only one thing—who can answer the user's question best.
Misconception 1: Treating GEO as content distribution and expecting that alone to earn inclusion
Publishing content is not the mistake. Treating publication as the task itself is.
Many companies understand GEO as submitting more, publishing more, and getting more pages indexed. They assume optimization has succeeded as long as their content can be found in a search engine. Their marketing teams therefore produce dozens of advertorials every month and publish them on the company website, industry portals, and every platform that accepts contributed content.
But AI search works in a completely different way. It does not look at how many articles you have published. It looks atwhose content is most worthy of citation.
Consider a simple example: when a user asks, "Which managed operations agency in Shenzhen is reliable?" AI will not choose an answer from 100 advertorials claiming, "Our company has exceptional capabilities." It will prioritizeprofessional content backed by real case data and industry influence.
This explains why some companies generate sustained traffic from GEO while others get nothing more than the consolation of being indexed but never read.
Misconception 2: Optimizing only your company website while ignoring third-party content platforms
Your company website is a key position, but it is not the whole battlefield.
The classic SEO approach is to direct all traffic to the company website, build its authority, and let rankings rise naturally. That logic is losing effectiveness in the age of AI search.
AI answers questions by extracting information fromtrusted content sources across the web. It does not care which website hosts the content; it cares whether the content itself is valuable. This means:
- High-quality content on third-party platforms can also be cited by AI
- Answers published by vertical industry media and professional communities may gain exposure more easily than content on a company website
- The questions your customers ask on Zhihu, Xiaohongshu, and industry forums represent the real needs AI cares about most
In the GEO projects we have delivered, companies that build a presence acrosstheir company website + industry platforms + content communitiesachieve inquiry conversion rates more thanthree times higher. This is not because third-party platforms carry more authority, but because AI can verify your expertise from more dimensions.
Misconception 3: Stuffing keywords blindly while overlooking E-E-A-T signals
AI does not recognize words; it recognizes people.
E-E-A-T—Experience, Expertise, Authoritativeness, and Trustworthiness—is Google's core framework for assessing content quality. It has become even more important in the age of AI search because AI is essentially emulating Google's quality assessment system.
Yet 90% of companies are still focused onkeyword matching:
- Forcing phrases such as "Shenzhen SEO company" and "Guangzhou SEO optimization" into articles
- Insisting that every title contain the target keyword
- Assuming keyword frequency equals relevance
To AI, this mindset is like a salesperson who does nothing but recite the product manual—knowledgeable, but easy to scroll past.
Real E-E-A-T is demonstrated by whether:
- you havereal business cases(not invented ones, but cases that can be verified)
- your content hasendorsement from industry expertsorsupport from first-party data
- your brand has builta verifiable track record within the industry(customer reviews, media coverage, and industry standing)
For example, consider two articles on how to choose a cross-border e-commerce managed operations provider. One offers a hollow list of "three selection tips." The other says, "After serving 50 cross-border businesses, we identified the five pitfalls companies encounter most often." Which one will AI choose? The answer is obvious.
The core logic of effective GEO: become a source AI can cite
Ultimately, the goal of GEO is not to "get AI to index my content," but tohave AI proactively cite my content as the answer when responding to a user's question.
That means establishing citability on three levels:
First, insight into the question. Stop starting with "What do I want to promote?" Start with "What will users actually ask?" Users do not ask, "What are the advantages of our product?" They ask, "How can businesses in the XX industry acquire customers?" or "Which XX service provider is reliable?" Your content must directly address thesereal questions.
Second, professional credibility. Give AI a way to verify your expertise. Real cases, industry data, expert perspectives, and customer reviews are not decoration; they are the evidence AI uses to decide whom to cite.
Third, consistent publishing. AI favors sources with an established track record. An industry account that has been updated consistently for three years is more likely to earn trust than one that appeared suddenly and published only ten articles.
A low-cost GEO action checklist for small and midsize businesses
Do not be intimidated by concepts such as "omnichannel visibility" and "securing a position in AI search." Small and midsize businesses need to do only four things to make GEO work:
1. Find real questions
- Review frequently asked questions in your industry on Zhihu, Xiaohongshu, and Baidu Zhidao
- Use AI tools to simulate the questions your customers would ask
- List the 20 most specific questions that are most likely to generate inquiries
2. Write the right content
- Write a 500–800-character answer to each question
- Give the answer immediately at the beginning—skip the buildup; AI has no patience
- Include a real case or data, even if it is simply the type of customer you have served
- Close by connecting the answer to your service capabilities without forcing the transition
3. Choose the right channels
- Your company blog (essential)
- One or two vertical industry platforms selected for your industry
- One content community—Zhihu or Xiaohongshu, depending on your industry
4. Verify continuously
- Use AI tools every month to search for your target questions
- Check whether your content appears in AI's citation list
- If it does not, adjust the questions you target and the angle of your content
Look at your website now: how much of its content is self-indulgent, and how much genuinely answers customer questions?
If the answer is "not much," changing direction today will be more effective than continuing to pile up content.
If you would like to discuss a specific industry or scenario, contact us through the form at the bottom of our website. We can help diagnose where your current GEO problems lie.