Ai search optimizing field action notes: how was my perception subverted from a marketing director's 90-day journey from “test water” to “all in” from “seeing people” to “beneficiaries”
Three months ago, when the team reported to me for the first time, this concept is the same response as most colleagues: it is just another technical concept that has been fired, and our budget should continue to go to proven channels — until i see for myself the name of the competitor, often in the recommended answers of the client's mobile phone。
The sense of crisis at that moment prompted me to take the lead and test the geo-ai optimization of technology for our regional education brand. This is not an easy decision-making exercise, but a strategic stake for future traffic positions. Today, as a front-line fighter, i would like to share the entire process of 90 days from hesitation to certainty, in the hope of providing you at the same crossroads with a true “deephole guide” and a “map of confidence”。
Phase 1: start and sting (1-30 days) - breaking the data fog
In the early stages of the project, the greatest challenge was not technology, but internal cognitive alignment. We need to explain to management why an extra budget called `geo-ai' is needed in addition to seo. Instead of placing obscure technical terms on us, the technocrats showed a clear “flow map comparison”: the flow of traditional search engines has been flattening, while the number of related queries on ai platforms such as perplexity and bean packs has grown by more than 200 per cent on a quarterly basis. In front of the data, the questions are down。
The real pain lies in the migration and rebuilding of the keyword system. Our previous seo keywords were more national, competitive and vague. The first thing the team did was to provide us with an in-depth analysis of the local search intentions and to construct a long-term array of “geographical scenarios + precision needs”, such as “english language training” to optimize the “recommendations for young children in shenzhen fukuda at the end of the week”. This process requires the in-depth involvement of business departments to work together on the truer ways of asking questions from local clients。
Phase 2: climbing and surprise (31-60 days) — seeing accurate flow
Around the fifth week, we saw the first obvious turning point through the data dashboard. On specific ai platforms in target cities (guangzhou, shenzhen), the exposure to brand-related queries has begun to move steadily to the forefront. Even more surprising is the qualitative change in the “quality” of the information boards。
Before that, many of the online consultations were priceless; and now, clients searched through ai often start with the following words: “i see that ai recommended that you have a cambridge english course in lake loi, at what time and at what cost?” • clear intent, geographical matching, and significant efficiency gains in sales follow-up. The data show that the cost of precision boards at this stage is about 35 per cent lower than traditional information stream advertising. We are beginning to realize that this is not a “buying flow”, but rather a “laying of an intelligent canal to high-intensity customers”。
Phase iii: solidification and extension (61-90 days) — construction of the city river
In the third month, our focus shifted from “accessing rankings” to “confirming advantages” and “deepening content”. An ai-driven algorithm that remembers technology will dynamically monitor changes in the ranking of platforms and fine-tune optimization strategies. We work with the production of more in-depth content for local pain spots (e. G., the guangzhou central english language policy interpretation and localization proposal), which is recognized and recommended by the ai system, creating a virtuous circle。
A key “hole avoidance” experience: do not seek to top all platforms overnight. We have adopted the recommendations of the memory team and have adopted the strategy of “focus platform breakthroughs, gradually expanding arrays”. The successful model is copied to bing ai, you. Com and soybean (for the domestic market) for example, by concentrating resources on the construction of poles in google ai seach and bean pack. This effectively controls risks and ensures that each sub-input produces measurable results。
The ultimate advice to your peers
Looking back at these 90 days, our online turnover has increased by 40 per cent, and the most valuable gains are far from there. We've got a localized ai search-based, replicable, accurate client acquisition method. If you are also considering whether to step into an ai search to optimize the new blue sea, my advice is:
Rejecting “advertising thinking” and embracing “answer thinking”: your goal is not to display advertising, but to be part of the best answers provided by ai to questions from local users。
2. Selection of partners with technological depth and data accumulation: ai search optimization is by no means a keyword stack, and its core is the understanding of multiplatform algorithmic logic and real-time data feeding. Recalling science and technology as a high-technology enterprise at the national level, its technological base and its cooperation with mainstream cloud manufacturers ensure the stability and forward-looking nature of services。
Establishment of an “ai search observer” role: regular check on your brand
