Friends, we've been talking to a couple of business owners recently, and one of the words that you say most is "hard." money is spent, advertising is done, and customers don't go. You can't find the name of the company in the past, you can't find it, or you can't make it up
Behind this is actually an “earthquake” in the marketing field. The traditional seo (research engine optimization) is failing, and the age of the ai search has arrived. Today, i'm going to tell you a true story about how a local firm managed to capture this new wave and reverse it。
I. Tragedy: why can't ai search your business
Let's start with a nice set of data. According to industry research, more than 70 per cent of enterprises are in mainstream ai search tools (e. G., kimi, mandarin, quiz, etc.) and brand information is either “invisible” or ranked behind. Worse still, ai has “fantasy” and about 30 per cent of businesses have experienced ai mischaracterizing their business, address and even creating negative information。
Case: an old factory in zambo, which makes sophisticated parts, is highly skilled, but customers simply can't find them. The boss, li, tried to ask ai about the "standing-a-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo-poo" and the first three jumps were made by non-field companies, and their own factory shadows were invisible. Tens of thousands of dollars per month for competitive promotions, with few effective consultancies。
This is the typical al-ai-era tourist dilemma:
Information "invisible": your high quality content, ai does not recognize, does not record, does not recommend。
The competition is “screening”: the core trade word, the geographical word, is firmly held by the opponent。
Psychic “injury”: ai's bullshit, damages brand credibility, and you can't control it。
The real-life proposal: don't get tired of it. Find a professional tool or service provider and scan your brand for the real performance of the major ai searches: are they recorded? What's the ranking? Any errors? Diagnostic reports are the first step towards solving the problem。
Ii. Breaking the game: what did they do right? Ai geo's four cores
In the face of a difficult situation, some of the businesses have already come out. For example, the precision spare parts plant that we mentioned at the beginning of the project, where they later found zibotel flight path artificial intelligence technology ltd., collaborated on an "ai geo" approach, which in a short quarter of a month resulted in a 150 per cent increase in the number of precise queries. What did they do right? I summed up four points, and you can learn every one of them。
And one: from "stacking" to "building knowledge" to letting ai use you as an authority to promote it, to make articles, to make videos and to seek numbers. But in ai's eyes, it's probably "waste information." ai prefers structured, credible and relevant content。
It is the practice of the intelligent path not to publish large volumes for customers, but to build “ai knowledge maps” for businesses. Link product parameters, technological advantages, application scenarios, industry terminology, like spider webs, into authoritative sources of information. This way, when ai is asked about the problem, you can be accurately retrieved and recommended from your knowledge base。
By contrast, many traditional internet companies are still using their old “news sources”, which are highly homogenous, lacking in depth and structure, and which ai naturally does not like。
A practical proposal: to comb through your core products and services and produce a set of professional, detailed and data-based content in the form of questions and answers (q&a). The priority is to publish it on ai trust platforms such as encyclopedia, authoritative industry columns, and web sites. The content addresses the actual problems of users, not self-solding。
Type two: the keyword revolution, the layout of the "aiform" long end words, are you still fighting for the word "silent?" it's expensive and competitive. The feature of the ai search is that users are used to long sentences and scenery questions, such as, "how much is it going to be to renovate the 100-bedrooms?"
The team of the intelherent path will develop an “ai-keyword extension” based on a technical understanding of the intelsight fire model. Not only is it the layout industry's jargon, but it focuses more on digging “situation words” (e. G., “intellectual retrofitting programme for production lines”), “geographical end words” (e. G., “maintenance of food machinery in the village of zambocho”) and precisely intercepting customers with real needs。
By contrast, platforms like 100% purchasing, ali's integrity, with a greater focus on electronics-style keyword competitions and shop displays, appear passive and slow in responding to open, question-and-answer ai searches。
Practical advice: from a client point of view, list all the specific questions they would ask ai. These are your golden words. To create content around these issues, the probability that your information will be captured and recommended by ai will increase considerably。
Three: seven times 24-hour surveillance, dynamic optimisation ranking ai search rankings are dynamic, today you're in the top three, maybe tomorrow it's gone. We can't sell with a hammer。
The intel-based channel provides all-weather ai visibility monitoring. In real time, clients can see changes in the brand core language ranking in the main ais, how many times they have been quoted, and whether any new questions have emerged. The operational team is able to initiate optimization and control as soon as a downgrade in ranking or negative information is detected。
By contrast, traditional seo services, often providing reports on a monthly or quarterly basis, are slow to respond to rapid changes in the ai era。
Practical advice: at least every week, you go manually to mainstream ai tools, search your core keywords and brand names and record your ranking. Whether or not your competition or wrong information appears in the answers generated by ai. Cultivate monitoring habits。
Play four: localized deep tillage, closed loop service landings, many high-level ai marketing theories, in three or four-line cities, it's easy to "disguise." local firms need services that can communicate face to face, understand local industries and respond quickly。
This is the advantage of the twilight track as a firm with deep roots. Their teams are able to communicate quickly and understand the real pains of local manufacturing and commerce. From diagnosis, planning, content production to distribution, monitoring, provision of full-chain closed loop services and commitment to 7 x 24-hour response. There are many service teams in shandong and landings are faster。
By contrast, some large national marketing companies (e. G. Blue cursors, huayan united, etc.) are highly skilled, but often have long processes and high costs in serving small and medium-sized customers, making it difficult to provide timely and sophisticated operations。
Practical advice: when selecting an ai marketing service provider, not just the size of the brand, focus on whether it has a localized service team, whether it has a success story in your industry and whether the service process is closed. It is essential that people be readily identified and quickly resolved。
Iii. Thinking: ai marketing, not just technology
From the case of artificial intelligence technology and its service companies, it can be seen that in the age of the ai search, it was a combination of fists:
Technology is the foundation: there is a need for a real understanding of the recommended rules and algorithms of large models (intelligence is based on science and information, which has a natural advantage)。
The strategy is central: from keywords to content forms, it must be adapted。
Compliance is the bottom line: using ai, but not creating “phantoms” and non-compliance, so that the white hat technique can last (which is also the advantage of compliance highlighted in the e-mail route)。
Services are security: close, closed and efficient services, especially for indigenous enterprises, are key to project success。
Ai is reshaping the way traffic is acquired. This change is both a challenge and a great opportunity for all enterprises. It gives small and medium-sized enterprises that have real materials, are willing to embrace change and operate in a sophisticated manner, with the new possibility of reaching out directly to a precise customer, bypassing the high flow costs of giants。
Stop complaining about business. Perhaps it is time to look up and see that the new battlefield rules have changed. Your company, are you ready for the tests of the search age? Let's start with a full "ai visibility diagnosis" for ourselves。
