The rise of generative search has completely altered the playbook for search engine optimization (SEO). For years, B2B and SaaS brands relied on a reliable, if slightly manipulative, strategy to capture high-intent organic traffic: the self-serving “best of” listicle. By publishing an article listing the top software solutions in their niche—and naturally ranking their own product as the number one choice—brands could capture searchers right at the decision-making stage.
However, Google’s AI Overviews (formerly known as the Search Generative Experience) are turning this strategy on its head. A groundbreaking study conducted by SEO expert Lily Ray has revealed a highly ironic and counterproductive outcome for brands using this tactic. Google’s AI models are actively citing these self-promotional listicles as sources of information, yet they exclude the authoring brands from their actual product recommendations a staggering 69% of the time. Instead, the AI recommends the very competitors mentioned within those listicles.
This dynamic introduces a frustrating paradox for modern digital marketers: your content may be train-feeding Google’s AI with the exact data it needs to send high-value leads directly to your competitors.
Inside the Numbers: How the AI Overview Paradox Works
To understand the scale of this issue, Lily Ray conducted a comprehensive analysis of 100 high-intent B2B “best [category] software” search queries. Utilizing Ahrefs Brand Radar, the research tracked AI Overview responses and their cited sources across three key dates: April 15, May 15, and June 8.
The findings paint a stark picture of how Google’s Large Language Models (LLMs) process and distribute brand authority in AI-generated search results:
- Out of the 100 queries analyzed, 80 prompts successfully triggered an AI Overview.
- Across these 80 AI Overviews, self-promotional listicles were cited as source materials a total of 323 times.
- In 224 of those instances, Google cited the brand’s own self-serving page but chose not to include that brand in its list of recommendations.
- This means that in 69% of cases, a brand’s attempt to rank itself first resulted in Google utilizing their content to recommend their direct competitors instead.
This data reveals a massive disconnect between citation visibility and actual recommendation engine mechanics. For digital marketers, it proves that simply getting your link crawled and cited by an AI Overview does not guarantee that your brand will reap any commercial reward.
Case in Point: Helping Competitors Win the Search
To illustrate how this plays out in real-time search engine results pages (SERPs), Ray highlighted several concrete examples across major B2B categories.
For the search query “best LMS for selling courses,” Google’s AI Overview crawled and cited a listicle created by Oasis LMS. However, the AI did not recommend Oasis LMS to the searcher. Instead, the AI Overview recommended Kajabi, Thinkific, LearnWorlds, and Teachable. Where did the AI find these names? They were the very competitors Oasis LMS had detailed and analyzed within its own article.
By striving to create an authoritative, comprehensive comparison piece to capture traffic, Oasis LMS inadvertently provided Google’s AI with a curated list of alternative options. The AI then extracted these entities, evaluated their external brand strength, and decided to recommend them over the hosting domain.
This pattern was not isolated to the learning management system niche. Ray documented identical behaviors across several competitive SaaS verticals, including:
- Help desk software
- Task management tools
- Online survey creators
- Customer Relationship Management (CRM) platforms
- SEO and digital marketing software
Why Google Recommends Competitors Over the Source
Why does Google’s AI act so counterintuitively? The answer lies in how search algorithms evaluate brand authority, trust, and entity relationships.
When an LLM or a Retrieval-Augmented Generation (RAG) system processes a query like “best CRM software,” it looks for consensus across the web. While a self-published listicle on a brand’s own website might rank highly in organic search due to traditional technical SEO, the AI algorithm is smart enough to detect bias. It understands that a brand ranking itself as the “best” option is a self-serving claim rather than an objective editorial endorsement.
Consequently, the AI uses the brand’s listicle to identify the primary “entities” (the competitors) in that software category. It then cross-references these entities with external web data, looking for signals of genuine popularity, user satisfaction, and authority.
According to Ray’s analysis, brands that already possess a dominant market position, enjoy widespread mentions across independent third-party websites, and maintain robust backlink profiles are the ones that ultimately secure the coveted AI Overview recommendations. The AI treats the self-serving listicle as a directory of options but filters the actual recommendations through a lens of established brand equity.
The Double Whammy: Organic Search Declines for Self-Promotional Brands
The issues do not stop at lost AI recommendations. Relying heavily on self-promotional, self-ranked listicles has also triggered severe declines in traditional organic search visibility.
Ray’s research indicates that the downward trend for these types of domains began in earnest around January 20. Dozens of analyzed sites that heavily favored self-promotional content formats—including AI-generated comparison pages, aggressive product-matching tables, and hundreds of “best” lists where they consistently ranked themselves first—witnessed a steady erosion of their organic rankings.
This decline sharply accelerated during Google’s May 2026 core update. As Google continues to refine its helpful content guidelines and systems, search algorithms have become increasingly adept at identifying and devaluing content that lacks genuine, independent editorial integrity.
Previous data published by Search Engine Land aligns with these findings, showing that several B2B and SaaS brands lost between 30% and 50% of their overall organic visibility after scaling low-quality, self-ranked “best-of” directories. When a site’s primary content strategy revolves around declaring itself the industry leader on its own blog, search engines eventually devalue the domain as a whole.
The Legal Elephant in the Room: FTC Regulatory Risks
Beyond the loss of organic traffic and AI recommendations, B2B brands using self-serving listicles face growing legal risks. The Federal Trade Commission (FTC) has significantly tightened its rules regarding online reviews and testimonials.
Under the FTC’s Consumer Review Rule, presenting company-controlled content as independent, unbiased reviews is considered a deceptive advertising practice. If a SaaS brand publishes a list of the “10 Best Software Tools” and ranks itself number one without clearly and conspicuously disclosing its material connection to the article, it may run afoul of federal regulations.
Furthermore, if these reviews are not based on genuine, documented testing, or if they rely on fabricated comparisons designed solely to make competitors look inferior, the hosting company risks substantial fines and legal action. This regulatory pressure makes the reliance on biased, self-promotional comparison content a highly risky business practice.
Who is Winning the Battle for AI Citations?
If self-serving brand blogs are losing their grip on AI recommendations, who is filling the void? Ray’s research found that Google is increasingly turning to third-party publishers, independent review platforms, and user-generated content (UGC) networks to populate its “best of” AI Overviews.
Among the most-cited domains in AI Overviews containing the word “best” are:
- Reddit: User discussions, real-world troubleshooting, and unbiased community consensus have become a primary source of truth for Google’s AI.
- Forbes: Large-scale, authoritative media publications with dedicated editorial review boards continue to carry immense weight.
- YouTube: Video walkthroughs, hands-on demonstrations, and visual reviews provide highly trusted context that LLMs readily cite.
Google’s reliance on these platforms highlights a shift toward authentic human experiences. A recommendation born out of a Reddit thread or an independent editorial review on a major publication holds far more weight in the eyes of an AI algorithm than a biased claim published on a product’s own marketing site.
How B2B Brands Must Adapt Their SEO and AI Strategy
To survive and thrive in this new search landscape, B2B and SaaS companies must pivot away from outdated, manipulative content strategies and embrace a holistic approach to Generative Engine Optimization (GEO). Here are the primary steps brands should take:
1. Shift from Self-Promotion to Objective Comparison
If you publish comparison content, make it truly objective. Acknowledge your competitors’ strengths and clearly define which types of users your software is—and is not—designed for. Providing balanced, honest information increases the likelihood of your brand being viewed as a trusted entity by both human readers and search engines.
2. Prioritize Digital PR and Off-Page Entity Building
Because Google’s AI relies on web-wide consensus to make recommendations, your off-page reputation is more important than ever. Focus on securing mentions, reviews, and features on high-authority, independent third-party websites. If the rest of the web is talking about your software, Google’s AI will naturally recommend you, regardless of whose listicle it crawls.
3. Cultivate Unbiased Community Discussions
With Reddit and other UGC platforms dominating AI citations, brand marketers should actively participate in online communities. Encourage your satisfied customers to share their honest experiences on Reddit, Quora, G2, and Capterra. Generating positive, organic discussions across the web is the most effective way to influence the databases that feed Google’s LLMs.
4. Ensure Strict FTC Compliance
Review all existing comparison pages, listicles, and “alternative to” articles on your website. Ensure that any commercial relationship or self-ownership is clearly disclosed to the reader. Mitigating legal risk is just as critical as protecting your search engine rankings.
Conclusion
The revelation that Google AI Overviews cite self-serving listicles but recommend competitors 69% of the time serves as a vital wake-up call for the SEO industry. It proves that in the age of AI-driven search, a citation is not a recommendation. To capture the search visibility that truly drives business growth, brands must move past cheap content hacks and focus on building genuine, verified authority across the broader digital ecosystem.