Stop panicking about your LLM stack. Google’s September 2026 spam update, launched on September 24, did not introduce a penalty for AI-written content. According to Kamil KΔ™piΕ„ski, founder of EntityRise, the update applies globally and may take up to two weeks to roll out, but Google has not specified that it targets AI generation specifically. The real shift is in how Google defines 'scaled content abuse,' a policy that has been in place since May 15, 2026, and explicitly covers attempts to manipulate generative AI responses in Search.

The Line Between Value and Volume

Google’s guidance is clear: it judges content by its utility to the reader, not the tool used to produce it. However, the definition of 'spam' has tightened. Using generative AI to create many pages without adding unique value is now a textbook example of scaled content abuse. This includes scraping feeds, swapping synonyms, or stitching together content from different sources. If your automated blog produces 'commodity content'β€”articles that merely summarize what is already onlineβ€”you are at higher risk than a year ago. The danger isn't the AI; it's the lack of human insight.

Ignore the llms.txt Hype

For developers and SEOs chasing the latest trends, Google has a blunt message: ignore llms.txt files for Google Search. The search giant states that these files, along with other special AI markup, neither help nor harm rankings in its index. Google also dismisses the need to split content into small 'chunks' specifically for AI systems or to rewrite content just for them. While llms.txt might still be useful for other assistants like ChatGPT or Claude, relying on it for Google visibility is a waste of engineering cycles. Structured data helps with rich results, but it is not a magic bullet for AI features.

Visibility Is Never Guaranteed

The most critical takeaway for builders is that no one can guarantee visibility in AI answers. Google explicitly states that even if a page meets every requirement, it is not guaranteed to be crawled, indexed, or served. Furthermore, Google notes that 'No third-party tool has access to our internal ranking or AI systems.' With seven ranking updates confirmed in 2026 alone, the algorithms behind AI Overviews and AI Mode are constantly shifting. What works today may fail in two months when a model version updates or Google adjusts its core systems. Treat AI visibility as a metric to measure and maintain, not a permanent asset to buy.

Key Takeaways

  • Google penalizes scaled content abuse, not AI tools themselves.
  • llms.txt files are neutral for Google Search but may help other assistants.
  • Automated blogs must include unique data or first-hand experience to avoid being flagged as commodity content.
  • AI visibility cannot be guaranteed; models and algorithms change frequently.

The Bottom Line

If you are shipping AI-generated content without a human adding unique insight or first-hand experience, you are building a house of cards. Volume without value is now a liability, not a growth strategy.