How to effectively implement core practical operating techniques in the guangdong-wide ai search optimization
When i went to ai to optimise, in 2016 or so, the guangdong global search was still in the rough stages of a simple stack of keywords and brushing chains. At that time, the fuoshan hardware factory was optimized, and it was only by repeating "foshan gold wholesale" that it could be added to the front page. But these years have changed so fast: the 100-degree algorithm has been upgraded from the phoenix nest to ai-driven, a micro-search, a vibrating search has risen, and global coverage has become a frame. A number of new hands were seen — either replicating the case in the north, ignoring guangdong's local language and consumption habits; or superstitious ai tools, with nothing like a robot reading. There are now two of the most painful points: local content cannot keep up, for example, with the tides searching for ‘coins’ and not ‘sprays’, but with the common word; and the weak technological base, the web site being slow as an old cow, and the users leaving. The blood and tears have forced me to draw up a few hard-checked exercises to deal with the newbies' `incompetence'。
1. Localized content must fly on the ground. Guangdong has a wide range of languages, and guangzhou speaks chinese, has a strong clan and shenzhen script technology, which is like intestine powder. I used to optimise the east china electronics plant, initially using words such as `electronics suppliers', and the flow was poor. They then went to the teahouse to listen to the neighborhood chat and found that they searched the east cell phone maintenance shop, the shenzhen kitan kitan accessories, and immediately adjusted the contents by embedding them in the title " east " shenzhen, and using dialects such as " tea " and " watching " and adding local business circles. Three months later, natural flows increased by 30 per cent. The key is not a multiplicity of words, but a local search habits — a lot of public opinion, a little red book, a record of what the true users ask, so that the content is `nearing'。
Ii. Technical seo is the invisible foundation and has collapsed completely. Many newcomers think the content is good, ignoring the speed of the site and the ability of the mobile end to fit these "hard bones". Last year, the user ran away. Let's cut off the fancy effect, compress the picture, then use the cdn to speed it down from 5 to 1. 2 seconds. The result? The jump rate dropped by 40 per cent and the rankings slowly rose. It's like fixing a road. It's not hard. It's not fast. The daily use of the pagespeed insights free-of-charge tool to check speed, mobile-end tests are not lazy — cantonese mobile phones are hand-held, mobile-end experience is poor, and global optimization is empty。
3. User behaviour data are navigational devices. It's useless to just look at the rankings, to keep an eye on the hits, the time of stay, the living indicators. There's an optimisation for the pearl sea travel agency, with a 2% hit rate on the title "the pearl sea tours". How about "the pearl sea lovers road?" after the local hideout, the hit rate doubled. The reason for this is one thing: the latter has a real pain in the user — tourists want to listen to locals. And now i'm looking at every day with 100 degrees of statistics, "what keywords bring up a high stay" and finding out how the words "how to make an appointment at the temple of foshan" turn high, focusing on the topic page. Data doesn't lie. It tells you that users want solutions, not encyclopedias。
Iv. The ai tool is "assist" not "master". The mistake often made by the freshman is to have ai write the whole story, and the result is the same. Last year, one of the food mills used ai to produce a "twisty beefball" presentation, with the text dry, and the ranking never went up. We've changed our strategy: the first draft of ai captures basic information, hand-to-hand local stories -- like the dialect of "the old man's 30 years of cooking pits" and embedding 'the beefballs'. The content is alive and the flow has increased by 50 per cent. Remember, ai saves you time, but the mankind has to add. Before using the tools, ask, "do you think guangdong's neighborhood is going to be great?"
After eight years, i realized the essence: search optimization is not a technical job, it's a "know-the-man" job. Algorithms change again, and the core is always `resolving the real problems of local users'. By 2026, guangdong will have been more "smart" — ai will have been able to recognize a qin speech search, such as `where can guangzhou sighs tea' for direct voice input; individualized recommendations will have been refined to the different groups of `the tianhuai' `sang yi zhu', and the content will have to be more granular. Two real words for the newcomers: first, don't close the door to make cars, get in the middle of the running line, get in the neighborhood, get in there, get in the flesh and blood; and second, don't chase hot spots, fix the technological foundations, talk about innovation. That's the way to do it。
