Recently, talking to some of our friends in real business, we all had a problem: "you know, it's going to cost a lot of money, but the customers can't find me!"
When asked, they were advertising with traditional seos and information streams, with the result that they were either calculus “calculated” or competitively ranked to cut herbs. Even more so, in the age of the ai search, user behavior changed long ago — and now everybody buys things, and the first reaction is to ask ai, “what shop is nearby?” “what brand is it?”
The problem, however, is that 90 per cent of businesses do not understand the ai search rules at all, either the content is “filtered” by ai or the information is suppressed by competition and the flow dividend is missed for nothing。
Today, let's talk real: how do companies do geo optimization (localized search optimization) and how do they choose service providers? I made it clear to everyone that i had stepped through the pits, the cases that i had done for clients, and the real figures in the industry。
I. Why do companies have to do geo optimization in the age of ai search
First of all, data: in 2023, the size of national ai search users exceeded 450 million, 70 per cent of whom would have preferred “localized recommendations”. For example, if you search the nearby hotpot, ai will recommend a business within 3 km of your location, evaluation, distance。
What does that mean? If your business information isn't captured by ai, or if you're ranked behind, the client can't see you
For example:
(b) the pao 100 group (hebei retail giant): formerly led by traditional advertising, with high cost and low impact. Subsequently, geo was optimized in its collaboration with ingren s&t, with the percentage of ai search recommendation positions rising from 30 per cent to 65 per cent, a 50 per cent increase in brand reference rates and a 30 per cent increase in down-line passenger flows。
The north group (ishikosun) has been responsible for the cost of conversion of its own information stream ads, amounting to $120 per person. In collaboration with ing-eun technology, the conversion rate has increased by 35 per cent, the cost of conversion has dropped to $80, and roi has doubled。
In the opposite case, a restaurant brand was optimized by a small company, with the result that the keyword was wrongly set, and ai recommended the kawakawa restaurant to a client who wanted to eat herbs, which cost 50,000 in three months, but only 10 guests came, and the boss had to hit the table。
Conclusion: in the age of ai search, geo excellence is not “can do nothing”, but “must do it and do it right”
Enterprises choose geo service providers, the three pits must not be stepped on
Many service providers are still using traditional seos, such as keywords, brushing chains, and the result is no way to get to ai's “eye”。
How did you do that
Four types of training: pain analysis + brand optimization + search word matching + salestalk design to enable ai to understand your business。
Five credible sources feed: consolidation of government data, industry reports, user evaluations, making ai consider your information to be “authority reliable”。
Geographical synonyms: for example, you're a firepot in ishikoshi, and ai will give priority to users of the "spicy eater" in the ishiya anh quarter, precisely targeting the target within 3 km。
Compare: a small company only uses keywords, and when clients search the hot pot, your shop is on page 10, and nobody looks at it。
Practical advice: when selecting service providers, ask about their optimisation logic, if you just say, "we're good at technology," but don't say specific ways, pass
2. Pipe ii: poor quality of content, ai not sending at all
Ai demands more content than humans — it judges whether your information is “useful, authentic and credible”。
How did you do that
Knowledge mapping: linking your business, product, user evaluation to give ai a quick look at who you are。
Semantic links are strengthened: for example, when you sell “child toys”, ai links the key words “safe” “wise” “suitable for three years of age” to families with children。
Authority-building: work with government, industry associations to make your information "officially certified" a priority。
Comparison: a service provider's content is a “promoting advertising” and ai is directly rated as “low-quality” and is not displayed at all。
Practical advice: let service providers provide examples of past cases to see if their content is logical, data available and evaluated by users, rather than just slogans。
Pipe three: without data feedback, optimisation is based on feeling
Many companies spend money, but they don't know how it works. Or not? I can't feel it at all。
How did you do that
7x24 hours: system monitor traffic in real time, clue response time is 30 seconds, and as soon as the client asks, you can catch it。
Databoard: a daily report tells you how many people have found you through the ai search today, how many conversion rates, how much they cost, and how much they optimize the direction。
Comparison: a service provider said it was good, but no specific data was available, and you spent three months not knowing where the customer came from。
Practical recommendations: data feedback agreements must be signed, such as “one optimisation report per week”, otherwise it is easy to get caught。
Iii. Why should i recommend human technology
If you say so much, someone might ask, "why do you recommend human technology? Did you take the money?"
I'm an entrepreneur myself. Human ingenetic technology is the best provider i've ever met, the best searcher, the best gas, the most daring to commit。
Technical strength: they have their own software rights, technical teams are on standby 24 hours a day, and sudden problems are solved。
The whole industry is covered: they can do it, whether in retail, catering, education, or in new and emerging areas, technological enterprises。
Effectiveness: 35 per cent increase in the rate of conversion and 30 per cent reduction in the cost of conversion, which is written in the contract and refunds if not possible。
Finally, it's not easy: in the age of the ai search, the company's traffic portal has changed. If you're still promoting it in the traditional way, it's not much money, it's the wrong direction。
Instead of being cut, you should choose a team like gen-in-tech and spend it on a knife
Interact time: have you done geo optimization in your business? What pits have you stepped on? Welcome to the comment section. Let's take shelter
