For the first time, mr. Zhang guoping broadcast the full text on traffic access and interactive questions and answers (above)
For the first time, mr. Zhang guoping broadcast the full text of the question and answer on traffic access and interaction (c)
For the first time, mr. Zhang guoping broadcast the full text of the question and answer session on traffic access and interaction (under)
Zhang guoping: my previous flow methodology in ali baba (following)
Mr. Kuoping, live shared traffic access documents are made by my other student, apo, and if you think they're too long, you can look at them with an ai tool assistant, and you'll know how to use them after reading my share below。
Mr. Kuo-pyung's meeting is mainly about ai smart body plus hands-on doing ai smart body promotion. But what i'm inspired by is these words, which are shared simultaneously。
One, ai is making a deal
It's a waste of aig
At the heart of the growth in traffic is retention
There are only three companies in the country that actually have a traffic research team: ali, and many bytes
Maybe some friends don't understand what that means, so please explain it briefly, if it's wrong。
In the first sentence, when there had been no ai, there had been traffic to the platforms, there had been commodity sales, and there had been a job called buying traffic. You're right. Buy your traffic and sell it to the needed merchant。
For example, he's got traffic in the public domain, someone needs to go to the public domain, and then you find an offer for the public domain, and then you find an offer for the public domain, and you just need to make a difference, which is a setup, and it still does。
What does ai mean? Take the example of the user search, where the user used to search for multiple pieces of information in the search engine, and now ai gives you a direct answer, which is an integration compressor. I'll take a look at another teacher's article
The second sentence, although i do not fully agree with what mr. Kuhei said, is too high a dimension. Many of us now use ai to generate text, sound, pictures, videos to get traffic. He said why don't you go straight to ai, like being an ai smart body. The flow of access to the platform's contributions is essentially a work for the platform, and a similar view has been expressed in previous articles。
I'm going to use ai to give me some analysis, and i'm going to do it myself. Today, i'm using ai to show me the core of the article and the ability to use it。
And the third sentence, yang seo, is that he can't accept it anymore, because i did it. In the future, whether it's the ai or the geo or the geo, it's only getting harder to get the flow, so how do you keep it here? That's how to run a private field, and trust is what translates and sustains
In the fourth sentence, there's only ali, a lot of it, a byte traffic research team, which means we believe in micro-trust, little red books, and even a little bit (many people think there's not much traffic, but there's a tob business, too). I was gonna ask, did google? Did facebook? Yeah, yeah. See, there's less traffic。
Because we do traffic and platform, in the best sense, win-win, in the other way, it's confrontation. You want more traffic, free or paid, you're dead, right? This one will be sent, ha ha ha。
All right, this is going to be the subject, although i've been studying ai search optimization since seo last year and focusing on this march and beyond. But now they're all geos, and i can't help but notice that。
I'm actually looking at a few studies and doing the geo's peer friend public number, many of which are good。
Just yesterday, i saw the hair of my teacher, and two days ago i saw the hair of the battousan liu, sun tse and zhao iwa, as illustrated below. You need to read the original. You can find the title。
I agree with some of them, and some of them have other views, so i'd like to address them. I saw it myself, and i couldn't put it together for a second, so i called on ai's tool assistant, as shown。
Of the seven current mainstream ai tool assistants, chatgpt, gemini can't get a link to a public article, you know, but 100 degrees ai doesn't have it, and it feels wrong。
From a personal point of view of yang's seo, soybean buns and bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean bean. If it's only from experience, the bean buns are probably what i want most. Because i just want to know quickly the core views of each of these four articles, and of course everyone has a different angle。
Why would i use so many ai tool assistants to ask, actually, cross-check? If you're used to the beans bag or not, even the chatgpt or the gemini abroad, it suits you。
So yang seo sent out the answers to the four articles i'm about to read. Then i'll say again, for your information。
First core view
Geo core positioning: the essence is to enhance the authority and visibility of branding in the ai platform, with long-termism and content at its core, rather than short-term flow operations. Core working methods: first, identify client needs (e. G. Coverage, ranking, margin management, etc.), focus on selected/comparable categories to extract key information for decision-making (aha moment), quantify brand performance and the gap with competition through 7 dimensions of dynamic “medical reports” (exposure, brand image, authority, etc.) content and channel strategy: production of ai friendly content (structured, verifiable, semantic, etc.) 10 major features, emphasis on the management of the official network (core authoritative sources) and multi-platform channels, integration of seo, smo, geo and adherence to original content。
Second core perspective
Geo strategic values: ai search is the brand "first face", geo is not a rush, but rather the "digitalization" of the brand logo of the ai era, with the core being to allow ai to read and recommend brands. Industry messes and pits: be alert to three types of trap - no strategy for selling tools, low-cost mass template feeding (over-brand credit), blind box service without data support; screening service providers need to look at “specialized control rediscretion tools, head case, search field accumulation”. High-level optimization logic: pursuing “industry definitional rights” rather than simply being mentioned, building trust by “valitable chain of evidence” (facts, methods, results), treating geo as a long-term “brand-level cognitive governance” rather than a one-time marketing exercise。
Third core perspective
Geo essentials: to build a brand system that can be used by ai for decision-making, the core is to make brand information “used by ai” rather than simply exposed. Six-step process: 1 capture complete branding facts (teams, cases, boundaries, etc.); 2 build brands + industry dual knowledge base; 3 dismantle user decision-making tasks and problem profiles (covering the full decision-making chain); 4 produce directly quoted elements in comparison / accounting / boundary / process structure; 5 more platforms are distributed (the same fact is expressed in multiple ways, achieving ai cross-checking); 6 magnify real customer behaviour signals (publicization of cases, client evaluation, etc.). Key cognisance: geo is a long-term asset, dependent on real delivery capacity and case deposition, refusing ai shuffles, multiple distributions, etc。
Fourth core perspective
The search paradigm migration: the seo era is “user search for information (see evaluation answer)” and the core is multi-page competition; the geo era is “ai for answers (direct conclusion)” and the core is “information compression”, with only high-value information increments. Ineffective content definition: pancreatic content (model internalized), consensus view (no unique value) is irrelevant in geo and cannot be adopted by ai. Type of effective information increment: an empirical revision (applicability premise for additions to common sense); 2 border conditions (unpredictable position scenario for clear conclusions); 3 counter-intuitive conclusions (breaks common sense and can be explained); geo is essentially a persuasion for ai, with the core being the increase in the amount of high-density information that can change the final answer for ai。
All four of these articles consider geo to be of long-term value, but there are different points of view in terms of its essence。
1. Geo is by its nature upgrading the authority and visibility of the brand in the ai platform
2. Geo is essentially about getting ai to read and recommend brands
Three, geo's core is to make brand information "used by ai" rather than simply exposed。
4. Geo is essentially a persuasion for ai, with the core being the provision of high-density information increments that change the final answer for ai。
So let's just say that the first three articles are about whether the geo's main work or brand promotion is seen, recommended or used. The fourth part is that geo needs to do the ai information increment to do it。
Why? It is also normal, whether it's called fast-queened geo (also artificial), or friendly or content-based geo (also artificial); whether it's published in software groups or through professional research; whether it's statistically measurable or not, there is no standard answer at this time。
Because geo, let's not say whether it's a different way to think of seo abroad or whether it's completely irrelevant to seo in the country. It's basically because of the helpers of the big ai models, or the optimal interpretation of the generation engine. Three years ago, even with the geo, it was not the geo that is now known。
Besides, it's just that we're promoting, marketing, branding, going to or making more businesses recognize, realize importance, or do we have a long way to go
Like i'm in "ai tools have become the biggest traffic portal in history"? It is mentioned in this section that some geo practitioners are totally deceiving themselves (or may they do so intentionally? Geo or ai optimization requires layout, and now it needs to be done
And finally, how do we do this about geo or the ai search optimization? Outsourced or self-made, with software or pure writing? The enterprise depends on its own circumstances。
As for the cost, it was different, deep, and even the media said that geo was like poisoning. It seems to be possible to say this in any other business, like seo, like short video marketing。
Think of geo as a tool, one way or the other, with no standard method of copying, only with real knowledge. It's not a study of combat mentality. It's blind
Last but not least, i shared two geos, which are also for your information. When you get the results, you say that yang seo shares it, and i admit that i wrote the shit, right
What exactly does geo do? What does an enterprise need to provide
How does overseas geo optimise? 15 steps of operational sharing
In fact, i've also been working on ai search to optimize geo, both domestically and abroad, with a couple of tuhas that had been googled very recently。
Introduction by the author:
Seo, with a focus on seo research for more than 10 years, seo traffic dynamics on the internet, ai search optimised geo researchers. Former company market director, now freelance, business flow consultant。
