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Content Catalyst

Content marketing and search

SEO

Marketers Risk Optimizing SEO For AI Over Users

Some marketers prioritize AI search visibility over user experience, a tactic that may not yield lasting results. This approach could undermine the value of SEO.

Original reporting · martech.org

Original: “The risks of optimizing SEO for AI over users”

Read “The risks of optimizing SEO for AI over users” at MarTech →
The risks of optimizing SEO for AI over users
Image: MarTech

How this was written. Content Catalyst wrote this article with a language model from MarTech’s reporting (model: @cf/meta/llama-3.3-70b-instruct-fp8-fast); it describes that reporting rather than adding to it. The original, linked above, is the full story.

Key points from MarTech’s report

  • Marketers risk prioritizing AI search visibility over user experience, which may not yield lasting results.
  • Human expertise is crucial in AI-assisted SEO, and AI-generated pages tend to rank lower than human-authored content.
  • Originality is key to increasing citation potential and creating differentiation in SEO.
  • Consumers are growing skeptical of generic AI-generated content, and authenticity has become a differentiator.
  • A human-first SEO approach involves providing firsthand knowledge, taking a position, and supporting claims with original data.

Marketers are making a familiar mistake by prioritizing search system optimization over user needs, according to MarTech. This tactic has historically led to short-term gains but little long-term value.

The pursuit of AI search visibility is important, but it should not compromise the quality of content. Creating valuable content for users is essential, and tactics like scaled content abuse are discouraged.

Research suggests that human expertise plays a crucial role in AI-assisted SEO. A study by Graphite found that most high-ranking pages in Google Search were written by humans, while AI-generated pages tended to rank lower.

Another study by iPullRank highlighted the importance of human judgment in SEO. The research showed that AI models can confidently provide diagnoses even when lacking sufficient information, emphasizing the need for human validation and decision-making.

To create effective SEO, marketers should focus on elements that AI cannot produce independently, such as original experiences, unique industry insights, and expert analysis. AI can be used to accelerate research and organization, but human expertise is necessary for substance.

The biggest risk of AI-generated content is that it becomes indistinguishable from other content, which can limit organic growth. Algorithms are designed to filter out repetitive content, and search engines encourage creators to produce non-commodity content that adds value.

Originality is key to increasing citation potential and creating differentiation. Consumers are growing skeptical of generic AI-generated content, and authenticity has become a differentiator. Research by Gartner found that many consumers believe brands produce too much AI-generated content, eroding trust.

To prevent repeating past mistakes, marketers should adopt a human-first SEO approach. This involves providing firsthand knowledge, taking a position, supporting claims with original data, and showcasing expert identities. MarTech reported that this approach mirrors Google's encouragement for years and is now included in its AI optimization guide.

Questions and answers

What is the risk of prioritizing AI search visibility over user experience?

The risk is that it may not yield lasting results and could undermine the value of SEO.

Why is human expertise important in AI-assisted SEO?

Human expertise is necessary for validation, decision-making, and providing substance in SEO, as AI models can lack sufficient information and produce lower-ranking content.

How can marketers create effective SEO?

Marketers should focus on elements that AI cannot produce independently, such as original experiences and unique industry insights, and use AI to accelerate research and organization.

Read the full story at MarTech More from Sunday, November 1, 2026’s edition