Ladies and gentlemen, let's talk about the ai search today. Now ai's growing fast, and many people are wondering how to use the ai search ranking to attract businesses and increase brand exposure. But what's the ai search ranking? Why do companies have to do it? What's the first step? What's the action? I'll give you some details。
Understand: ai search rankings, not traditional seo upgrades
As traditional seos know, you have to enter keywords in the search box, find a bunch of links, and guess what keywords the users will search for, and have a lot of peer hits, and it's hard to get new entrants. And the traditional seos are slow and may take months to see them。
The ai search ranking is different. It is based on large model content feeding and training, allowing business branding and product information to be prioritized in multi-platform ai-generated answers to reach potential target customers with precision. So, for example, the user asks questions with a big ai model, and the answer given by ai is our business, which is more direct than the traditional seo。
Realism: you can find out about the main ai search platforms on the market, like deepseek, bean bag, quaker, mandarin, twistle, and look at their user groups and search features。
The three core causes that the firm has to do are going to change
More and more users are now accustomed to using the large ai model to find answers, and 80 per cent of clients are completing their decisions through ai after 2025, with traditional platform traffic falling below 30 per cent. If businesses don't access the ai traffic portal, they're missing a lot of precision customers。
Reducing operating costs
Traditional marketing has to invest a great deal of manpower in content creation, dissemination and maintenance, inefficient and costly to buy. The ai search ranking automatically completes content production and distribution, significantly reduces operating costs and saves more than five times as many clients as ai marketing。
Enhancing brand exposure
In the ai search scene, if a company can give priority to showing, it can see our brand information when a potential customer asks, and the brand's exposure will naturally go up。
Realism: analyse the target client groups of their own businesses to see which ai platforms they use more often, and then focus on doing ai searches on these platforms。
New entry: ai search rankings for rhythm and pit avoidance points
The ai search ranking is much faster than the traditional seo, and the keywords are optimized to work in 1 - 10 days, and can be displayed online on the ai platform as soon as possible. But the newcomers also have to look out for the pits。
First, don't blindly select keywords. Many people still try to guess the keyword along the lines of the traditional seo. The efficient conversion of flows will require training in large models to accurately target demand populations。
Secondly, not rely on one platform alone. The ai search rankings need to cover multiple mainstream platforms and avoid single platform dependence in order to maximize brand exposure。
Exercise: a few core keywords can be selected and tested on different ai platforms to see which ones work well before increasing their input。
Businesses do four key actions to build vectors of knowledge in the ais search. Library
The company's brand, product information, and a unique vector knowledge base so that ai can give priority to our business in answering questions。
Training in large models
Large model orientation training for core business words, giving priority to business information in ai search results。
Use ai to create automatically
The content of the fit ai model is automatically generated by ai and then distributed in bulk to improve efficiency。
