Google pushes non-commodity content as AI search reshapes SEO priorities
Non-commodity content is emerging as a key idea in the AI search era, as Google tells publishers to create material that large language models cannot easily replicate. In its guidance for generative AI search, Google explicitly encourages websites to publish "valuable, unique, non-commodity content" rather than repackage information already available across the web. SEO platform Surfer recently broke the concept down into three traits: unique, specific, and authentic. The shift reflects a broader change in content economics. As AI systems become better at reading, summarizing, and reorganizing public information, content built mainly on aggregation is losing its scarcity. Surfer argues that if someone can search Google, hand the results to ChatGPT, and produce an article very similar to yours, that article is likely commodity content. The piece also argues that the real moat in the AI era is first-hand information: direct experience, proprietary data, original research, real-world testing, expert judgment, and documented case studies. That logic extends beyond brand SEO into journalism. For media outlets, simply rewriting earnings releases or repeating public statements may no longer add much value in AI search systems. The harder-to-replicate work lies in comparison, verification, testing, sourcing, and original reporting.








