Achieving 12,000 Website Visitors with GEO Optimization
GEO (AI Generated Engine Optimization) has been a great help. Recently, while communicating with several friends who operate independent websites, I discovered that traditional traffic acquisition methods are facing a dual challenge: continuously rising advertising costs and frequent search engine algorithm updates. However, at the same time, a new opportunity is emerging - more and more users are starting to make consumption decisions through AI assistants. For example, when looking for skincare products, they no longer directly search for brand names, but ask AI questions such as: "How to build a tolerance skincare routine for sensitive skin" or "Which ingredient can effectively improve enlarged pores". This fundamental change in search behavior has spawned a new optimization strategy: GEO (Generative Engine Optimization). Simply put, it is to systematically optimize content to make it more in line with the recommendation standards of AI search engines, so as to obtain continuous exposure in intelligent question and answer scenarios.
The following are four proven steps:
Step 1: Use AI to locate precise needs Enter in ChatGPT: "List the 10 most frequently asked professional questions by users about [your field]". For example, if you are making smart home appliances, you will get specific questions such as "How to evaluate the actual performance of an air purifier" and "How much CADR value should be selected for different apartment types". These questions directly reflect the real needs of users.
Step 2: Build in-depth solutions For each question, create content that includes these elements: Interpretation of core parameters (such as the measurement standard of CADR value) Comparison of different technical routes (advantages and disadvantages of HEPA filter and electrostatic dust collection) Specific usage scenario suggestions (selection differences between small apartments vs. large apartments) Verifiable data support (link to third-party test report)
Step 3: Optimize semantic association Naturally integrate relevant terms into the content. For example, when discussing air purifiers, bring in keywords such as "PM2.5 removal rate", "noise decibels", and "filter life", and explain the relationship between them. This can help AI understand the value of the content more accurately.
Step 4: Verify and iterate Regularly test in AI tools: "How to choose [your product type]". Observe whether your content is cited and adjust the optimization direction according to the results.
The essence of this method is to become a professional source of information trusted by AI. When users ask related questions, AI will prioritize recommending comprehensive and authoritative solutions. The actual effect is gradually accumulated: there may only be sporadic traffic in the first week, but as the content cited by AI increases, stable growth can be seen after three weeks.
