GEO Takes the Spotlight for 20 Months: Not a Marketing Gimmick, but a "Survival Necessity" for Enterprises in the AI Era

Since June 2024, GEO (Generative Engine Optimization) has gone through a 20-month development journey. As a veteran with a decade of experience in search marketing, I have witnessed the entire process of it evolving from an overlooked concept to one that has been repeatedly validated, sought after, and even imitated by the market. Yet, to this day, perceptions of GEO remain highly misaligned: outsiders regard it as a "new trend" in the second half of 2025, while some practitioners dismiss it as a mere marketing gimmick with a new name but the same old tricks.

The root of these misunderstandings lies in the fact that many people fail to truly understand what problems GEO solves from the perspective of enterprises' survival and development. Its surge in popularity is by no means accidental, nor is it a bubble driven by capital speculation. Instead, it is an inevitable result of the convergence of three major trends: SMEs' long-standing anxiety over customer acquisition, the collective failure of traditional marketing models, and the restructuring of traffic rules by large AI models.

I. The Era Context: SMEs Enter an Era of "Extreme Caution" in Marketing

Post-pandemic, micro, small, and medium-sized enterprises (MSMEs) are not facing a simple recovery, but a protracted battle for "survival". Tightened budgets, cautious decision-making, and the need to see ROI for every penny spent have become the shared mindset of business owners. A machinery equipment client I served is highly representative: before the pandemic, he invested over 300,000 RMB annually in paid search ads; post-pandemic, his budget was halved, and the number of leads plummeted. When he reached out to me at the end of 2024, he only asked one question: "Is there a way to spend less money and see results first?"

We designed a conservative GEO testing program for him (then still called AI Search Optimization). The result: within 10 days, 8 valid leads were obtained through AI search entry points, at a cost only 1/4 of the original, and 2 of these leads resulted in direct transactions within two weeks. This case clearly demonstrates that the first wave of demand for GEO stemmed not from a desire for marketing upgrades, but from enterprises' instinct to survive.

II. Practical Dilemma: Short Video Marketing Builds High Barriers for Traditional Enterprises

Short video marketing has undoubtedly been a marketing trend in recent years, but it hides a series of barriers such as filming, editing, content expression, and algorithm understanding—hurdles that are insurmountable for most traditional enterprises. A client in the enterprise management software sector invested over 1 million RMB in short video marketing in 2023, generating more than 2,000 leads, but only closing 1 deal in the end. His reflection is thought-provoking: "Short videos simply don't seem suitable for businesses like ours."

In contrast, GEO provides enterprises with a "cost-effective alternative" that does not rely on personal expression, filming capabilities, or emotional content appeal. Its core logic returns to the essence: it only competes on whether information is understood by AI and whether it accurately hits user needs. This has created enormous practical space for GEO's explosive growth.

III. Fundamental Turning Point: Large AI Models Become a Disruptive New Traffic Entry Point

The fundamental reason for GEO's explosive growth within 20 months lies in a core variable: large AI models are replacing traditional search engines to become the primary entry point for users to obtain information. User behavior has shifted from "searching for keywords" to "asking questions directly". The essence of GEO is to enable enterprises' information to be selected by AI as the "answer", thereby entering its answer system. This is no longer simply about ranking or exposure, but about whether an enterprise can become the "cited answer" when users ask questions.

IV. Commercial Value: Structural Cost Reduction and High-Efficiency Conversion

In today's era of increasingly expensive traffic costs, GEO provides enterprises with a tangible solution for cost reduction and efficiency improvement. The cost per lead for traditional paid search ads has doubled, and the effectiveness of short video ad delivery is uncertain, while GEO's lead cost stably remains at 1/3 to 1/5 of traditional channels, with a shorter conversion path. Meanwhile, in the face of fragmented platforms, GEO, through a single optimization, can leverage AI's content understanding mechanism to achieve synchronous citation of content across multiple AI systems, realizing the leverage effect of "one investment, multi-point reach".

V. Market Logic: Low Barriers and Fast Validation Spur Industry Consensus

GEO's low barriers have attracted a large number of cross-industry players, which, while bringing chaos, has also accelerated market education, propelling it from "known to a few" to "market consensus" rapidly. For enterprises, the trial-and-error cost of GEO is extremely low—with a few thousand RMB and a few days, they can verify whether the direction is viable, which is extremely rare in the current marketing environment. More importantly, it addresses enterprises' deep-seated anxiety of "fear of being forgotten by AI"—if your business is not in AI's answers, you essentially do not exist in the digital world.

Conclusion: The Push of the Times

GEO's surge in popularity is driven by the times. It aligns with the major trend of AI restructuring information distribution, lowers enterprises' trial-and-error barriers, and truly solves the survival challenge of "expensive and difficult customer acquisition". In the long run, GEO will become a necessary basic capability for enterprises, just like SEO was in its time, rather than a passing gimmick.

For enterprises, the real danger has never been "doing GEO wrong", but doing nothing in the AI era. This is the true reason why GEO has remained popular to this day.