How Google AI Prefers Competitors in ‘Best’ Listicles

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Recently, I’ve been delving into an intriguing study by Lily Ray, which reveals some unexpected findings about Google’s AI Overviews. Apparently, these Overviews frequently reference brands’ own listicles but tend to recommend their competitors.

The study highlighted that Google AI Overviews cited these self-promotional listicles in a whopping 69% of B2B software-related queries. Yet, they favored rival brands in their recommendations. This got me thinking about the strategies brands employ to influence AI search outcomes.

Detailed Findings. I discovered that the analysis was quite comprehensive. Ray reviewed 100 B2B queries spanning categories like “best [category] software.” She gathered data across three specific periods: April 15, May 15, and June 8.

The study found that out of 80 queries that triggered an AI Overview, self-serving listicles were referenced 323 times, yet in 224 instances, Google didn’t actually recommend those brands. This mismatch intrigued me.

Analysis of Recommendations. While examining specific cases, it became evident that Google sometimes cited a brand’s listicle but opted to recommend more renowned competitors instead. For instance, in the search for “best LMS for selling courses,” Oasis LMS was mentioned, yet Kajabi and others were pushed forward as the preferred options.

This pattern wasn’t just isolated to LMS software; it appeared in multiple domains like help desk tools, task management, and more. It made me ponder over the dominance of stronger brands in recommendations.

Observing Organic Declines. An interesting trend noted was a drop in organic visibility for websites heavily leaning on self-promotional listicles. I noticed beginnings of these declines back in January and observed further drops post-Google’s May 2026 core update.

Interestingly, these sites also seemed to have expanded into AI-generated content and other “best” pages prominently featuring their own brands.

Rise of Third-party Citations. Ray’s analysis also showed an upsurge in Google comprising third-party content for “best” queries. Platforms like Reddit, Forbes, and YouTube gained traction in citations.

Understanding Impact. I believe it’s crucial to realize that merely having your content cited doesn’t equate to a recommendation. This situation offers competitors the chance to snag attention and, ultimately, valuable visibility.

Keeping Up with Changes. Previously, Search Engine Land shared insights on how some SaaS and B2B businesses witnessed visibility losses after banking on self-ranked “best” lists. The risks are significant when company-driven content doesn’t transparently disclose material relationships as mandated by the FTC’s Consumer Review Rule.

About Ray’s Data. To reach her conclusions, Ray employed Ahrefs Brand Radar to examine numerous AI Overview responses. Her analysis spanned 100 B2B software queries, focusing on citations versus actual recommendations.

The full report is available on Ray’s Substack, titled Why Calling Yourself the Best Could Be Helping Your Competitors Win in AI Search.


Inspired by this post on Search Engine Land.


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FAQs

What does Lily Ray's study say about Google AI Overviews and self-promotional 'best' listicles?

The study finds that Google AI Overviews frequently cite brands’ own ‘best’ listicles but tend to recommend competitors instead. In B2B software queries, self-promotional lists were cited in 69% of cases, yet Google often favored rival brands in its recommendations.

What example does the post mention where a brand's listicle was cited but competitors were recommended instead?

The post cites ‘best LMS for selling courses’ where Oasis LMS was mentioned, but Kajabi and other brands were promoted as the preferred options. This shows how a listing can be cited without becoming the recommended choice.

What trend related to organic visibility did the study observe?

The study notes a drop in organic visibility for sites that lean on self-promotional ‘best’ lists. The declines began in January and continued after Google’s May 2026 core update.

What data sources did the analysis use?

Ray employed Ahrefs Brand Radar to examine AI Overview responses. Her analysis spanned 100 B2B software queries, focusing on citations versus actual recommendations.

Where can readers find the full report?

The full report is available on Ray’s Substack, titled Why Calling Yourself the Best Could Be Helping Your Competitors Win in AI Search.

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