In mid-May, Google released new governance guidelines for its generative search ecosystem. The core of this policy update lies in formally classifying malicious manipulation behaviors within the "Generative Engine Optimization (GEO)" category as "spam content." This move marks Google's official campaign against advertisers and websites that attempt to "trick" AI into making errors by pre-fabricating and polluting information flows.

Google's "Defense": Why Target "AI Poisoning"?

"AI poisoning" has become one of the most challenging governance issues in the era of large models. The logic behind it is that advertisers use generative models to mass-produce fabricated "marketing narratives" in advance and push them into the online space through SEO techniques, luring large models to index false information as facts during training or reasoning.

When users ask questions to an AI, it may present these polluted pieces of information as "authoritative sources" in the AI Overview. Since search reliability is the commercial foundation of Google's search business, this kind of "poisoning" of AI content directly threatens Google's core values.

Google's Three-Tiered Penalties

According to the latest search spam content policy, Google will take strict measures to combat manipulative behaviors aimed at influencing AI-generated content:

  1. Direct Devaluation: Websites suspected of manipulating AI answers will see a significant drop in their rankings on traditional search pages.

  2. AI Removal: Violating content will be forcibly removed from the AI Overview, ensuring that AI no longer references these contaminated sources.

  3. Full Website Ban: For sites that severely and extensively use GEO to create spam content, Google reserves the right to completely remove them from the search index.

Industry Perspectives: A "Long War" That Only Treats Symptoms

Although Google has taken strong action, the industry remains cautiously optimistic. Several search technology experts point out that while this policy can deter some low-level GEO tactics, solving "AI poisoning" still presents great challenges:

  • The Secrecy of Advanced Feeding: Traditional "keyword stuffing" style poisoning has been filtered by AI, but currently mainstream "advanced feeding" methods—polluting data sets through highly human-like fake reviews, imitated expert evaluations, and complex social media endorsements—are still in a regulatory gray area.

  • The Normalization of the Cat-and-Mouse Game: Generative models require network data to stay up-to-date, and this "hunger" for data sources objectively leaves "gaps" for spam content. As long as AI models continue to rely on real-time feedback from internet data, the "cat-and-mouse game" between advertisers and search engines will not stop.

  • The Boundary Between Semantics and Facts: Distinguishing what is "false marketing information" and what is "legitimate commercial content with a commercial orientation" often involves ambiguous context. How to ensure algorithmic governance does not mistakenly harm normal commercial content is also a technical challenge for Google in the future.

Conclusion

Google's inclusion of GEO spam content in its governance system is an inevitable step in the era of AI. It is foreseeable that in the future, the focus of SEO will shift from "how to make crawlers capture" to "how to prove the credibility and factual origin of the content." However, this governance battle is far from over. Finding a balance between maintaining model flexibility and preserving the purity of information sources will be a long-term challenge for Google and global search engines.