First, let me give you a judgment:

GEO (Generative Engine Optimization) eventually tends to be brought back in-house by companies.

Not because outsourcing is too expensive.

But because it's not suitable for long-term full outsourcing.

This statement may contradict some peers' interests, but I still want to clarify it.

One, all marketing capabilities have gone through the same path.

Looking back on the past twenty years, almost every marketing capability has followed the same three-stage process:

Stage one: No one understood it, and companies that dared to try new things hired external service providers.

Stage two: The effectiveness was proven, leading to a proliferation of professional service providers and a thriving market.

Stage three: The capability became standardized, and leading companies started building in-house teams, pushing outsourcing back to the role of "execution support."

SEO went through this path.

Information flow advertising also went through this path.

Private domain, live streaming, and content operations are also following this path.

The pattern is actually clear:

Any capability that is "high-frequency, continuous, and deeply integrated with the business" will eventually be internalized by the company.

And GEO fits these three criteria almost perfectly.

Two, GEO has three characteristics that determine its rapid shift to in-house operations.

First, it's not a one-time project, but a continuous process.

Many companies misunderstand GEO as "doing one-time optimization."

But AI's understanding of a company is not a static result, but a dynamic process—

it requires continuous content supply, information updates, and semantic calibration.

If you stop for three months, AI's understanding of your company may return to the original state.

Projects can be outsourced.

However, continuous processes are more difficult to hand over to external parties long-term.

Second, its fuel is industry know-how.

The core of GEO optimization is to let AI accurately understand "who you are, what problems you solve, and who you are suitable for."

Where do these contents come from?

They come from the minds of those who understand the business best.

Even the most professional external service providers are one layer away.

It takes them two weeks to understand your industry, while your new employee can explain it in two hours.

Third, its window cannot wait for scheduling.

AI's understanding updates quickly, and hot topics, competitors, and industry events all affect recommendation results.

When opportunities come, what you need is a response on the same day.

But the outsourcing process is: submitting requirements, scheduling, communication, delivery, and revising—

A week has passed.

The essence of outsourcing is actually "buying time."

But GEO requires not a one-time period, but sustained attention.

Attention cannot be bought.

Three, the more fundamental reason: This is a cognitive asset.

What was discussed earlier is about the efficiency level.

This level is the root.

What exactly is GEO optimizing?

Not rankings, not traffic—

It's the AI's recognition of the company.

And this recognition is a trust asset.

I ask a question:

Would you long-term outsource your brand positioning to an agency?

Most would not.

Because you know that it's your most core thing, and it must grow on your own.

In the AI era, the ability to be correctly recognized by AI is becoming a core asset at the same level.

You can see it this way:

Services can be outsourced, but recognition cannot be outsourced.

Four, self-operation ≠ trial and error.

We must clarify a misconception here.

When people talk about self-operation, many bosses' reaction is:

"Isn't that just buying a tool and letting us mess around on our own?"

No.

True self-operation is a combination of three things:

System—solidifying reusable methods into tools, reducing execution barriers, so your people don't have to start from scratch.

Methodology—telling you what to do first, what to do next, and how to judge if it's correct. Tools solve efficiency, methodology solves direction.

Running alongside—having someone guide your team through the first complete cycle at the starting stage, not just giving you an account and password.

The system is the lever, methodology is the path, running alongside is the start-up.

Without any of these, self-operation easily becomes empty talk.

Five, which companies are more suitable for self-operation

Not all companies are suitable. The judgment criteria are four:

1, having a content or marketing team. Even if there's just one or two people, as long as someone can continuously produce content, they have the basic conditions.

2, high industry expertise. The higher the level of expertise in ToB, industrial manufacturing, professional services, and other fields where "outsiders find it hard to quickly understand," the higher the understanding cost for external service providers, and the more obvious the advantage of self-operation.

3, long optimization cycle. If you're aiming for long-term positioning rather than withdrawing after seeing results in three months, the compound effect of self-operation will grow increasingly.

4, wanting to accumulate internal capabilities. Some companies see GEO as an opportunity for a one-time organizational upgrade—using this to build their team's AI-era marketing capabilities.

The common characteristics of these companies are:

They are not looking for a fish, but a fishing rod and someone who knows how to fish.

Six, what "Taiwan CUEGEO" is doing

"Taiwan CUEGEO" prepares for these companies to turn GEO into a long-term self-operating capability, not to finish a project all at once.

Its positioning is very clear:

It's not about finishing GEO for you, but enabling your team to independently perform GEO.

The system handles repetitive labor, methodology solves the path issues, and running alongside ensures the start-up doesn't go off track.

For many companies, this will be a more logical approach.

Because the ownership location of ability determines the ownership location of assets.

Finally

In the AI era, one capability that is well worth investing in for a company,

is enabling AI to correctly recognize its own capabilities.

This capability is worth being embedded within oneself.

Common Questions

Q1: Why is GEO not suitable for long-term full outsourcing?
A: It's not because outsourcing is too expensive, but because any ability that is "high-frequency, continuous, and deeply tied to the business itself" is eventually internalized by the company. GEO aligns with all three of these characteristics, so it tends to be reclaimed by the company in the end.

Q2: What are the three characteristics of GEO that determine its acceleration toward self-operation?
A: First, it's not a project but continuous engineering, requiring ongoing content supply, information updates, and semantic calibration; if paused for three months, AI's understanding of the company may revert to its original state, making it difficult to sustain continuous engineering externally. Second, its fuel is industry know-how. The core is enabling AI to accurately understand "who you are, what problems you solve, and who you suit," which comes from the people who know the business best. External service providers, no matter how professional, are one layer removed. Third, its window can't wait for scheduling. Opportunities come and go, requiring immediate responses. However, the outsourcing process involves requesting, scheduling, communication, delivery, and revisions, which often take a week. Outsourcing is about "buying time," but GEO requires sustained attention, which can't be purchased.

Q3: Why is it said that services can be outsourced, but cognition cannot?
A: GEO optimizes not rankings or traffic, but AI's understanding of the company, which is a trust asset. Just like most companies wouldn't long-term outsource brand positioning to an agency, as it's the most core and must be embedded within themselves. In the AI era, the ability to be correctly recognized by AI is becoming a core asset at the same level. Therefore, services can be outsourced, but cognition cannot.

Q4: Is self-operation just buying a tool and figuring it out yourself? What does true self-operation include?
A: No. True self-operation is a combination of system, methodology, and mentorship. The system solidifies reusable methods into tools, lowering execution barriers; methodology guides the sequence of actions and how to assess correctness; mentorship ensures the team doesn't veer off during the initial phase, rather than just handing over an account and password. The system is the lever, methodology is the path, mentorship is the start. Without any one of these, self-operation easily becomes an empty phrase.

Q5: Which companies are more suitable for self-operation?
A: Not all companies are suitable. The judgment criteria are four. First, having a content or marketing team, even just one or two people, as long as someone can continuously produce content, the basic conditions are met. Second, high industry expertise. The more specialized the field, such as ToB, industrial manufacturing, or professional services, where outsiders find it hard to quickly understand, the higher the understanding cost for external service providers, and the more evident the advantages of self-operation. Third, long optimization cycles. What's needed is long-term positioning, not quick results in three months. The compound effect of self-operation will grow significantly. Fourth, wanting to build internal capabilities, using GEO as an opportunity for organizational upgrade, and establishing the team's AI-era marketing capabilities. These companies aren't looking for a fish, but a fishing rod and someone who knows how to fish.

Q6: What is the positioning of "Taiwan CUEGEO" in the context of self-operation?
A: It's not about completing GEO for you, but enabling your team to have the capability to independently perform GEO, turning it into a long-term self-operated capability. The system handles repetitive tasks, methodology solves the path, and mentorship ensures the start is correct. Because the ownership location of ability determines the ownership location of assets.

Data Sources

1. GEO: Generative Engine Optimization, Pranjal Aggarwal, Vishvak Murahari, Tanmay Rajpurohit, Ashwin Kalyan, Karthik Narasimhan, Ameet Deshpande, August 24, 2024.
2. Consumer Behavior Survey on the Use of Generative AI Tools, Fair Trade Commission, October 2026.
3. The Resilient Rise of the In-House Agency: 2026 State of In-Housing Report,ANA（Association of National Advertisers）,June 22, 2026