Many local jenan smes are confused by the fact that traditional seos are becoming less effective, that the cost of investment is high, that ai searches the entire world, but does not know how to get in, and that it sees its peers receiving accurate customers on ai recommendations。
Today we have to dismantle the entire case of the jenan home-based financial services agency, which we serve in only seven days, and achieve a 320 per cent increase in ai search exposure, an 180 per cent increase in precision advice, a zero-pay flow, and a purely geo optimization of the flow breakdown。
I. Client core pain
This is a small- and medium-sized financial service in the lower part of the zagenzi south calendar. The core service is the registration, representational accounting, qualification of local companies in zinan. The team is small and has previously relied on traditional under-line extension and a small number of online placements, with three fatal problems:
The traditional seo ranking continues to decline and the search engine's front page is almost ineffective; the entire platform does not fit the content layout of the ai large model, the main key words such as the bean bag, the words of man-sama, etc. The ai platform search core keywords such as "what's good for the zinan agent account" and "the zinan registration process" and displays no information on the brand; the existing content is fragmented, neither does it fit the needs of local users in the south nor does it fit the content capture logic of the ai large model, and exposure is completely ineffective. Our core optimization strategy
In response to the pains of our clients, we gave up a large and complete pan-flow layout, focused on "zinan local precision users", and developed a three-step core optimization programme:
The local users in chinan have tried to untangle the zinan fiscal service track 120 + core keywords, break down the four demand dimensions of "consultants, contrasts, decision-making, geographical categories" and focus on the long end precision of "zinan+ subdivision services" and avoid the high-competitive national course and capture only the precision users with a clear local demand. Ai's preferred content system is based on the mainstream ai big model's capture logic and recommendatory rules, and we have developed a complete content matrix for clients: from the interpretation of the jinan local business policy, disassembly of the service process, to the local customer's common queries, the industry's pits guide, all of which adheres strictly to the ai content standard of "accuracy, clarity of structure, geographical clarity and precision of pain" to ensure that the big model is quickly captured and prioritized. The platform-wide content calibration and positioning will optimize the content, synchronized to the ai large model high-weight recording platform, while completing the full chaining of brand information, service coverage, contact details, avoiding the invalidation of ai entries due to information errors, and ensuring that the client's brand information is high and accurate in the recommended results when asked by the user at the ai platform. Iii. Landing effects and core summary
The plan landed seven days later, we had a very intuitive effect:
This case also confirms a core logic: ai geo has never been the exclusive preserve of large firms, without large budgets, without large teams and with optimal solutions to local markets. And that's what we've been working on for the heart of the south's local market -- with professional ai geo capabilities, allowing more chinan smes to capture the flow dividends of the ai era at low cost。
