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Lily Ray (2026) — GEO tactics harming SEO and AI search visibility

Original study
Practitioner
Publisher
Lily Ray
Evidence:
Expert judgment
Vendor interest:
Moderate
Sample:
A commentary article drawing on public case studies, selected company traffic examples, Microsoft security research, Similarweb trend data, and the author's review of roughly 30 case studies from AI content tool companies.
Methodology
Disclosed
Geography
Global
Data period
01.01.2024 – 28.02.2026
Published
18 Mar 2026

Summary:

This article is about a simple warning: some tactics meant to boost visibility in AI search can hurt the SEO performance that AI search depends on.

The piece argues that brands chasing quick GEO wins may be weakening the very Google rankings that help them get cited by ChatGPT, Gemini, and other AI tools.

It was published by Lily Ray on Substack.

This is a practitioner article, not a formal research report. Lily Ray works in SEO, so the piece comes from an industry expert viewpoint rather than a neutral lab study. Her main goal is to push back on hype around GEO and argue that strong SEO is still the base layer for AI search visibility.

She builds the case by explaining how AI search systems use retrieval, then pulls together examples from public reporting, outside studies, Microsoft security research, Similarweb trend data, and her own checks of public case studies and traffic patterns.

A key part of the article is her review of around 30 case studies from AI content tools, where she compares the timing of published success stories with later traffic declines shown in Ahrefs charts.

She also shows a few company examples where drops in organic traffic appeared after scaled AI content, self-promotional listicles, or heavy comparison-page publishing.

The main takeaways are clear.

First, she says SEO is not dead: AI search often pulls from search indexes, and Google appears to play a major role in what some AI tools retrieve.

Second, she argues that many GEO case studies confuse correlation with causation, giving GEO credit for visibility that may really come from strong existing SEO.

Third, she says fast AI content scaling can look successful for a while, then collapse after updates.

Fourth, she warns that "artificial refreshing" can make content look newer without making it better, which she says search systems are getting better at spotting.

Fifth, she points to self-promotional listicles as a tactic that can work short term but may already be getting hit.

Sixth, she highlights Microsoft's report on "summarize with AI" buttons that hide instructions for assistants as a serious red flag.

Seventh, she says mass-produced alternatives and comparison pages can also become a liability when pushed too far.

Eighth, she argues that long-term winners will test new AI tactics through an SEO lens instead of treating GEO as a separate replacement channel.

Note that this is a commentary piece that mixes expert opinion with examples from third-party tools, outside articles, platform trend charts, and selected case studies.

Cards from this research

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