The GEO Delusion in the Million-Year Context: Anxiety Peddlers and Bubble Harvesters

As the AI wave reshapes information access, Generative Engine Optimization (GEO) has become a battleground for enterprises’ digital marketing. Yet when faced with a quotation costing over a million yuan annually for merely five keywords, we must pause to examine this hyped sector: is this rational market pricing, or a price bubble inflated by amplified anxiety?

I. The Truth About GEO Value: Misconceived "Explosive Growth" and "Bottlenecks"

The effectiveness of GEO is beyond doubt, but its impact varies drastically across enterprises of different scales — this is the foundation for understanding all pricing.

For micro, small and medium-sized enterprises (MSMEs), GEO often delivers "explosive growth from a low base". A startup with annual revenue of hundreds of thousands of yuan may see orders surge several times over due to high-frequency exposure of its brand in AI search results. This seemingly dramatic growth is essentially a marginal effect driven by a small original base and low fixed costs, and it cannot — nor should it — serve as a yardstick for measuring the input-output ratio of large enterprises.

For large enterprises, the logic is entirely different. They already possess substantial brand equity, massive online content, and a deep user base. What GEO brings them is incremental refinement from "70 points to 85 points to 95 points", a steady 10%-30% increase in leads, and precise reach to tens of thousands of new potential users. Given their massive scale, this incremental value far exceeds the doubling of figures seen in small businesses.

Furthermore, GEO benefits from a unique "trust dividend". A KPMG report shows that Chinese users’ trust in AI is far higher than the global average. This high trust gives AI-recommended content entry points deeper conversion potential, as users often carry the subconscious perception that "AI recommendations equal optimal choices", greatly improving lead quality.

II. The Myth of Million-Yuan Annual Contracts: Price Is Not the Issue, Value Boundaries Are

Market quotations ranging from a few hundred to tens of millions of yuan reflect the high degree of customization and systematization of GEO services. For a large enterprise with 20 product lines, an annual investment of 100,000 yuan per line would amount to 2 million yuan in total annual contracts. As demand expands to include information governance, multi-model coverage, and public opinion monitoring, pricing becomes deeply integrated with the enterprise’s overall information strategy.

Thus, the question is not "whether it is expensive", but whether this investment delivers verifiable and sustainable value. When examining that million-yuan quotation, its core flaws become evident:

1. Overly lenient KPIs: Only promising "stable display of 5 keywords in search results" without specifying mention probability, frequency, or ranking positions (e.g., Top 3). Given the "personalized results" and regional differences of large models, such KPIs are nearly unquantifiable — service providers could even "complete delivery" without substantive optimization.

2. The gap between monitoring systems and real-world user experience: Many current GEO tools rely on API calls and simulated crawling, which differ drastically from real users’ search experiences involving multi-turn conversations and contextual understanding. In practice, compliance rates from tool monitoring often diverge from manual test results, meaning data may "look impressive" but fail to reflect actual user reach.

3. Misattribution of large enterprises’ inherent advantages: Many large enterprises are already core components of large model corpora due to their extensive official websites, authoritative press releases, and long-term brand PR. Their GEO optimization starts from "70 points" rather than a zero-to-one creation. Attributing this existing brand momentum to service providers’ optimization constitutes a serious overestimation of value.

III. The Business of Anxiety: Necessary Vigilance or Fear-Mongering?

"Without GEO, you will become invisible in AI scenarios" — such rhetoric is repeatedly emphasized in procurement decisions, fueling industry-wide anxiety. This anxiety has a realistic basis, as AI search is indeed reshaping access patterns. Yet when amplified indefinitely, it evolves into an irrational belief that "spending money will reclaim future dividends".

This anxiety has become a harvesting tool for some service providers. They peddle black-box narratives of "algorithms fighting algorithms", packaging GEO as "black technology" or a "magic key". However, we must remain clear-headed: large models are essentially black-box prediction systems, not deterministic engines that can be fully optimized. No tool can "lock in" rankings; it can only "guess" and "test" outputs by optimizing inputs (content, structure).

IV. Back to Basics: Compliance, Verifiability, and Long-Termism

For large enterprises, the real challenges of GEO lie in compliance and verifiability. Compliance is not an empty promise but a long-term practice requiring joint participation from internal risk control, legal, and marketing teams. The purpose of GEO optimization is not to "manipulate AI", but to hedge against Internet-native noise by outputting more authoritative and structured information, making AI more inclined to select credible sources amid fragmented data.

What the industry truly needs is not transactions driven by information gaps or manufactured anxiety, but a rigorous value delivery system:

• Clear KPI frameworks: Upgrade "stable display" to "top-three mention rate for core keywords in X% of real user searches".

• Multi-dimensional verification mechanisms: Combine tool monitoring with manual spot checks and background lead growth data to establish a comprehensive performance evaluation model.

• Transparent value boundaries: Clearly distinguish incremental contributions from service providers versus natural performance driven by the enterprise’s own brand momentum.

Conclusion

GEO is a strategic entry point that enterprises must embrace in the AI era, but it is neither a "traffic game" for quick profits nor a black-box service where spending guarantees success. It is a systematic project requiring clear planning, long-term investment, and rational evaluation.

A million-yuan annual contract is not inherently abnormal, but without verifiable delivery and driven by anxiety-distorted perceptions, it can easily turn into a bubble of passing the parcel. True growth capability is always built on a solid foundation shaped by rational judgment, sustainable operations, and quantifiable outcomes. Only by delivering tangible results and realizing genuine value can GEO evolve from anxiety over a trend into a cornerstone for long-term business success.