Last month i picked up a client for the industrial valve, and the first line of the phone was on fire:' industrial valve factory'you can't even mention my name. Are you liars
I was not in a hurry to justify myself by asking him to send all the reports and contents of previous service providers. And after reading it, it's typical of using the traditional seo approach to optimise the search, and it's all about money. I've seen too much of this in two years, and eight of the ten new clients do it like this。
The client is wang, the owner of a factory that has been a valve for over a decade. At the end of last year, people told me that everyone was looking for things using ai, and they found a local company called "the lowest price on the internet." the program he was told about was very tempting: 30,000 dollars for 500 press releases, guaranteed 10 key words on the 100-degree front page and sent ai search optimization. Wang always thought it was a good deal. He signed the contract on the spot and then added $50,000 for "deep optimization"。
The result was that, six months later, a few hundred degrees of ranking did go up, but none of the genuinely quality consultations had been increased. He was even more angry that the client had told him that he was the only one recommended to search the valve factory on the bean buns and man-chon. He went to the former server and said, "ai search is new, we're still debugging," and he never answered his phone。
I did a full-scale test for him. It's more serious than i thought. First of all, the content, the 500 press releases, all of which are bulk-generated in ai, and the word "industrial valve" has been repeated 20 or 30 times in every article, and some sentences can't be read. What is even more absurd is that dozens of articles also contain information on the name and product of their competitors, apparently at the time of their creation。
It's not about ai, it's about garbage. Ai's large model is now very capable of identifying low-quality content, and such keyword articles will not be quoted, but will lower the credibility of the entire brand. I measured that general wong's domain name was less than 20 points of confidence in several mainstream ai platforms and was basically on the list of low-quality sources。
The second major problem is the lack of information. Wang keeps account numbers on a dozen platforms, but company presentations on each platform are different. Some of them are "established in 2008" or "established in 2010" ; others say "main stainless steel valve" or "main cast steel valve" ; or even several versions of the company address and contact phone。
A lot of people don't know that ai's requirements for information consistency are much higher than traditional searches. Large models cross-check multiple sources of information when building brand recognition. If the same brand is found to be different from what it says in different places, it will assume that this information is unreliable and will naturally not be recommended as a priority. How can he be recommended
The third pit is a false authority. In order to be professional, former service providers have forged in many articles the honors of the "china valves association's proposed brands for 2025" and the accreditation of the national quality monitoring and inspection centre. The result was detected by ai, which directly caused the entire brand to lose confidence. I was searching for the name of wong general on deepseek, and ai responded "there's a false propaganda message on the brand, please be careful."。
This was my greatest fear of risk. It's very hard to wash it once it's "untrustable" labeled by ai. Some clients have been unable to get any recommendations in the ai search for a year because of this problem. I told mr. Wang that this issue must be addressed as a matter of priority, otherwise it would be useless to do more to optimize it later。
Mr. Wang didn't understand. He said, "don't everyone else do that? I gave him an example, just like you asked a friend which brand's valve would be good if he found out that the brand was bragging around and said he'd won a lot of awards that didn't exist? It is equally true that ai only recommends information that it considers credible。
The fourth issue was to focus only on keywords and not on what users actually asked. All the service providers that used to do was "industrial valves" valves, "this word," but in fact, when users search for them using ai, they ask very specific questions, like, "how much is the stainless steel valve of dn 100?"。
After six months of optimization, general wang did not have a single piece to answer these specific questions. Ai, in answering user questions, naturally cannot find the information to be quoted and can only recommend competitors who have targeted content。
It took me a whole afternoon to get him to understand the fundamental difference between ai search optimization and traditional seo. The traditional seo is for the search engine, so if there's enough keywords and a lot of chains, it can be ranked. But ai's search is visible, and it's about whether your content really solves the user's problem, whether your information is real or not。
The process of adjustment has nothing particularly magical, but to correct previous mistakes one by one. The first is the harmonization of information across the internet, which took us a week to transform corporate information from all of wang's platforms into fully consistent versions, including founding time, main business, product series, address phone calls, etc. It then clears the content of false propaganda, deletes as much as possible, and issues a statement of correction that cannot be deleted。
Here's the re-engineering. We didn't send copies in bulk, but we sorted out 100 of the most frequently asked questions by users, and then asked wang's most experienced technicians to answer them one by one. Each piece of content is contained in a thousand words, with only one specific issue, with no keywords and no bragging, providing useful information to users。
For example, there is an article on "how to choose a valve suitable for a chemical pipeline", which gives us detailed information on the characteristics of the medium, the pressure temperature, how to connect, and specific recommendations in different contexts. Less than a month after the article was published, the article was quoted simultaneously by three mainstream ai platforms, which referred to wang's company whenever users asked questions about it。
Another important point is the semantic consistency of branding. We have given wang a simple symmetric manual of brand names, setting out standard terms for company names, product names, core advantages, and requiring that all external content be strictly adhered to. For example, the company must be called zhejiang xx valve manufacturing company ltd., not short "xx valve" or "xx factory"; the core product must be called the stainless steel industrial valve, not the stainless steel valve, not the industrial stainless steel valve。
This detail has been ignored by many, but it's really important for ai. It's only when all the information on you on the internet is the same story that ai can accurately link it to the same brand and create a complete and clear understanding。
After about three months of adjustment, the effect is clear. Wang's brand reference rate has risen from less than 5 per cent to over 60 per cent in five mainstream ai platforms, and his companies are in the top three of many core questions. And more importantly, the number of consultations started to really increase, and it came from very precise clients, many of whom went straight to him with the advice given by ai。
Last month wang called me and said he signed three million-degree orders this month, all from ai. He said the $80,000 was too much, but it was a lesson. Now he's like, "do an ai search optimization, don't be greedy, and don't use old ideas."。
And for 12 years in this business, my biggest feeling is that a lot of people can't do ai search optimization, not because of technology, but because they're wrong. They always wanted to take a shortcut and to get the results at the least and the fastest, and instead spent more。
Ai search optimization has no black technology, no shortcuts. Three things are clear: providing ai with real, accurate and consistent information; providing users with really useful and problem-solving content; and insisting on building brand credibility over time. As long as these three things are done, ai will recommend you first。
Don't believe any of the "7 tops" bullshit about the front page. It's not stupid. It can tell what's good and what's trash. Whatever you do to the user, ai will do to you. #enterprise network promotion #ai marketing #ai search optimize # generating engine optimize # 2026 enterprise ai marketing
