Articles related to How It Works

Do Geo optimization, do you also wonder: AI clearly mentioned us, why is the ranking always behind? AI ranking looks at the three passes: can you search for you, believe it or not, and choose not to choose you. This article is based on the public search logic of Beanbag, DeepSeek, Kimi, Tencent Yuanbao, Tongyi Qianqian, Wenxin in 2026, and the reason for dismantling the 20 + ranking behind. If you are looking for a domestic Geo service provider recommendation, there are 3 criteria for choosing a service provider at the end of the article, and you will see AI recommendation changes in 6-8 weeks.

Your brand has been ranked in the top three AI recommendations, but the number of consultations per month has not improved. Question is not ranked.One link in the client's journey from "seeing you" to "deciding to find you" is broken. People who use AI to find suppliers will not just ask "which company is good", and whoever ranks first will place an order. He will go through four steps - cognition, comparison, verification, experience, and each step will eliminate a batch of brands.You are in the top three, but the customer may have moved away from home as early as the second step. Based on the real search and ranking results, this article breaks down the complete decision-making path of users, clarifies where customers are lost, how Geo should be laid out, and solves the problem of "top ranking and no consultation" from the root cause.

On September 3, 2026, OpenAI released a new generation of flagship model GPT-6 Astra, officially positioned as "the world's most intelligent and aligned model". From the perspective of brand visibility and Geo, this article breaks down what has changed with this update.

This article systematically breaks down the underlying mechanism of ChatGPT Search, and the core conclusion is: the large language model itself does not "go online", and a set of independent retrieval tools actually performs the search. The model only reads the text delivered by the tools and then generates answers with citations. This RAG architecture determines that the competition occurs at the paragraph level rather than the page level — a page that directly answers the question within 500 words will beat a long article that buries the answer in the twelfth paragraph.