China's AI Search Won't Repeat the Google Era: Businesses Need to Rethink the Changing Entry Points of the Future

A few days ago, I spoke with the head of marketing at a company planning its digital marketing budget for the next three years.

When the conversation turned to AI search, he flipped through an industry report, paused, and asked me:

"If there's going to be only one winner in AI search, shouldn't we be placing our bets now?"

As he said this, he set the report down on the table, his finger resting on a chart analyzing AI search market trends.

This question has come up in many conversations I've had recently with business leaders.

Everyone is looking for the "next Google."

They want to identify the biggest future AI search entry point early and then, like they did with SEO in the past, concentrate their resources there.

My answer was:

That question is half right, half wrong.

Changes in entry points are certainly worth attention.

But the path of AI search development in China may not simply replicate the Google era.

China's AI Search May Not Replicate the Single-Entry-Point Path of the Google Era

Many businesses habitually use their search experience from the past two decades to understand the future.

This way of thinking has historical precedent.

In the Google era, search entry points were relatively concentrated. Businesses vied for better search rankings through webpage optimization, keyword placement, and content development.

But Google's dominance wasn't because search was naturally destined to have only one entry point.

It was more a result of a specific stage of internet development.

China's internet ecosystem today has, from early on, been characterized by multiple parallel entry points.

Search, social, content, and commerce are inherently different scenarios for accessing information.

What AI search is changing isn't just the search box itself.

It's changing the way users obtain information.

Looking back at the three generations of search entry point changes, you'll see that behind each shift lie changes in user behavior.

• The Yahoo Era: Users primarily found information through curated directories. Businesses focused on getting listed in the right categories.

• The Google Era: Users actively searched for webpages using keywords. Businesses focused on webpage quality, keyword rankings, and search traffic.

• The AI Era: Users may get answers through conversation, recommendations, and task completion. Businesses need to focus on whether their information can be understood and integrated by AI.

I've been in this industry for twenty years. From Yahoo to Google, and now to today's AI search changes, one pattern I've observed is:

Search entry points will always change.

But the user's need to quickly find trustworthy information hasn't changed.

The search of the future may no longer be just a standalone page.

It may become a capability embedded in different scenarios.

What Combinations of Entry Points Might China's AI Search Landscape Form?

If a business asks me now: "Which AI platform will become the single entry point in the future?"

I usually don't directly answer who will win.

Because for businesses, the more important question isn't predicting the winner, but understanding where their customers will seek answers.

Future AI search could involve several types of entry point combinations:

For example, in the independent AI assistant entry point, users might proactively ask questions to tools like Doubao, Kimi, Ernie Bot, Tongyi Qianwen, Yuanbao, and others.

In the social entry point, users might encounter brand information while discussing industry issues.

In the commerce entry point, users are likely closer to the purchase stage and need AI to help compare different options.

The search entry point may continue to serve the purpose of querying and verifying information.

The user intent behind each entry point is different.

Businesses shouldn't just ask:

"Which platform has the most users?"

They should also ask:

"At which decision-making stage will my customers seek answers, and through which entry point?"

This is also why my team and I place significant emphasis on the 'Platform' aspect when we proposed the AIPO methodology.

Businesses need to observe which platforms AI answers come from and how different platforms influence information presentation.

Future competition isn't just about fighting for a single placement slot.

It's about understanding how different AI platforms perceive your brand.

Why Shouldn't Businesses Just Look for the "Next Google"?

When planning AI search strategies, many businesses naturally think of their past SEO experience.

In the past, finding important keywords, optimizing website content, and securing search rankings were enough to generate fairly predictable traffic.

So some businesses ask:

"Since SEO had Google as its core entry point, shouldn't GEO also focus on one core AI platform?"

This thinking has historical precedent.

I don't oppose this line of thinking.

But AI search is changing the process by which users get information.

In the past, users actively clicked on webpages.

In the future, users might first get a synthesized answer from an AI and then decide their next step.

The same brand information might influence a search answer, an AI recommendation, and ultimately a user's purchase decision.

Therefore, the competitive battleground for businesses is shifting.

From vying for a ranking position to ensuring brand information is understood across different AI scenarios.

This is why I believe China's AI search won't simply retrace the path of the Google era.

The Chinese market has long had multiple information entry points coexisting.

AI capabilities are also likely to permeate different platforms and scenarios.

From Yahoo to Google to AI Search: The Common Pattern Behind Entry Point Changes

I started doing SEO at a Hong Kong digital marketing company in 2005.

Back then, the Yahoo Directory was still an important information entry point for many businesses.

They wanted their business to be listed in an appropriate category.

Then Google rose, and the search logic changed.

Businesses started focusing on webpage quality, keywords, and rankings.

Now, with AI search emerging, the focus is shifting again.

Businesses need to think not just:

"Does my webpage have a ranking?"

But also:

"Can AI accurately understand my brand, products, and industry information?"

Looking back at the three generations of search engines — Yahoo, Google, and AI — the core driver behind each change is, in fact, a shift in how users access information.

• In the Yahoo era, businesses focused on information entry points and directory systems.

• In the Google era, businesses focused on webpage content and search rankings.

• In the AI era, businesses focus on information understanding, content quality, and presentation across different platforms.

Search technology will evolve.

But the business need to build information assets will not disappear.

How Should Businesses Assess AI Search Opportunities for the Next Two to Three Years?

For businesses planning their market investment over the next two to three years, my advice is not to rush to judge which AI platform will definitely become mainstream.

What's more important is establishing your own observation framework.

Businesses can start by thinking about three questions:

1. In which scenarios will my customers use AI?

   Different customers have different decision-making processes. Some might use AI assistants to learn about an industry; others might seek advice when comparing products.

2. Is my industry information easily understood by AI?

   Whether brand information is clear and complete will affect how AI organizes and presents related content.

3. Is my brand information consistently updated?

   Market changes, product updates, and company developments all require maintaining information consistency.

This is also why Data Analysis is a focus within the AIPO methodology.

Businesses need to continuously observe the performance of different AI platforms to understand how brand information evolves, rather than relying on a single snapshot.

Overseas, businesses may need to pay attention to different AI search scenarios like ChatGPT, Gemini, Google AI Mode, and Perplexity.

Within China, it's important to observe information presentation on platforms like Doubao, Kimi, Ernie Bot, Tongyi Qianwen, Quark AI, and Yuanbao.

Different markets have different user habits.

Businesses need to determine investment priorities based on their specific customer base.

The Future of AI Search Competition: Not Just About Entry Points, But About Trust

Many businesses initially become interested in GEO because they want more exposure.

That goal makes sense.

However, as AI search evolves, businesses will find that exposure is only part of the equation.

AI needs to understand information and also judge the relationships between pieces of information.

Ultimately, what users care about is still whether information is trustworthy.

In the past, users would see search results and click through to webpages to make their own judgment.

In the future, AI will likely help users filter and summarize information first.

This means businesses need to build long-term information assets so their brand can be accurately understood across different AI scenarios.

Search entry points have always changed, but the user need for trustworthy information hasn't. Businesses need to build the capability to be understood across all entry points.

If You're a Business Decision-Maker, What Should You Focus On Now?

AI search is still in a phase of rapid change.

Businesses don't need to rush to predict the single answer.

But they can start building their own observation systems.

• If you're a CMO, I recommend reassessing the search entry point changes expected over the next two to three years, rather than focusing only on a single platform.

• If you're a Marketing Director, I recommend establishing an AI search observation mechanism to understand how your brand information is presented across different AI platforms.

• If you're in charge of growth, I recommend gradually focusing on content structure, website information, and data feedback.

If you'd like to understand your company's current AI search visibility, you can try the free GEO Audit as an initial diagnostic.

Related Questions

Will China's AI search landscape eventually consolidate into a single dominant entry point like Google?

As it stands, China's internet ecosystem has long featured a parallel structure of search, social, content, and commerce entry points. Therefore, AI search is more likely to develop in a multi-scenario direction.

Why can't businesses focus on just one AI platform?

The scenarios in which users access information are expanding, and different AI platforms may serve different needs. Businesses need to understand where their customers seek answers.

What is the biggest difference between AI search and traditional SEO?

SEO focuses more on webpage rankings, while AI search focuses more on whether information can be easily understood, cited, and integrated by models.

Should Chinese businesses start implementing GEO now?

If your business relies on online customer acquisition, brand awareness, or influencing user decisions, it's advisable to start paying attention to AI search developments and establish a baseline observation system now.

Will AI search replace traditional search?

It's more likely that multiple search methods will coexist for the foreseeable future. Traditional search, AI assistants, and other information entry points may collectively serve different user needs.

How can a business determine if it needs to pay attention to AI search?

If your customers make decisions based on search, consultation, or comparisons, then it's worth paying attention to how AI presents both industry and brand information.