The New Reality of Search: Citation is Not a Recommendation
For years, B2B software companies and SaaS brands have relied on a predictable playbook to capture high-intent search traffic. By publishing “best of” listicles—such as “Best CRM Software” or “Best Project Management Tools”—and ranking their own product as the number-one recommendation, brands could capture lucrative organic traffic and steer potential customers directly into their sales funnels.
However, the rise of Google AI Overviews (formerly known as the Search Generative Experience) has turned this strategy on its head. A groundbreaking study conducted by SEO expert Lily Ray reveals a stark reality for digital marketers: Google’s AI Overviews are actively scraping these self-serving listicles for data, citing them as sources, but recommending competitor brands 69% of the time.
This means that instead of driving leads to your business, your carefully crafted SEO content may actually be serving as free research and promotion for your biggest rivals. To navigate this shifting landscape, brands must understand the underlying data, how search algorithms process self-promotional content, and how to adapt their search engine optimization (SEO) and generative engine optimization (GEO) strategies accordingly.
Inside the Numbers: Lily Ray’s AI Overview Analysis
To understand how Google’s AI models handle self-promotional content, Lily Ray conducted a comprehensive analysis of 100 high-intent B2B search queries. Focusing specifically on “best [category] software” search phrases, Ray tracked AI Overviews and their cited sources across three distinct dates: April 15, May 15, and June 8.
Using Ahrefs Brand Radar to monitor the AI Overview responses and trace their sources, Ray uncovered some highly revealing metrics:
- High Trigger Rates: Out of the 100 B2B software search prompts analyzed, Google’s AI Overviews were triggered in 80 cases.
- Heavy Citation of Listicles: Within those 80 AI Overviews, self-promotional listicles published by software brands were cited a total of 323 times.
- The Recommendation Gap: In 224 of those instances—accounting for 69% of the cases—Google cited the brand’s listicle as a source of information but chose *not* to recommend that brand in its AI-generated answer.
This 69% gap proves that Google’s large language models (LLMs) are highly capable of extracting structured data from a web page while completely disregarding the self-serving bias of the hosting domain. The AI treats these pages as informational directories rather than authoritative, unbiased endorsements.
The Anatomy of an AI Hijack: How Competitors Win on Your Content
To illustrate how this dynamic plays out in real-world search results, Ray highlighted several specific search queries where Google used a brand’s content to promote its competitors.
The “Best LMS for Selling Courses” Case Study
Consider the query “best LMS for selling courses.” When analyzing the AI Overview for this search, Google heavily cited a listicle published by Oasis LMS. Historically, a user clicking on Oasis LMS’s organic ranking would find an article asserting why Oasis LMS is the premier choice, followed by a list of alternative platforms.
However, the AI Overview bypassed this intended user journey. Google cited the Oasis LMS article to gather data but recommended Oasis’s primary competitors: Kajabi, Thinkific, LearnWorlds, and Teachable. Ironically, all four of these recommended platforms were mentioned in the Oasis LMS article itself. Google’s algorithm essentially parsed the Oasis article, extracted the competitors listed within it, and determined that those competitors were more suitable recommendations for the user than the host brand.
This same pattern was documented across dozens of other highly competitive B2B software niches, including:
- Help desk platforms
- Task management systems
- Online survey software
- Customer relationship management (CRM) systems
- SEO and digital marketing tools
In each case, brands that attempted to influence search rankings by listing their competitors alongside themselves were penalized by having their traffic intercepted. The AI used their content to build a comprehensive answer, but handed the ultimate organic visibility and recommendation to their rivals.
Why Google Ignores the Host Brand: Entity Authority and Search Intent
To understand why this is happening, we must look at how Retrieval-Augmented Generation (RAG) and Google’s ranking algorithms work together. Google does not view a self-published listicle as an independent review. The search engine’s algorithms are designed to evaluate brand authority, entity connections, and third-party validation.
The Power of Real Brand Authority
According to Ray’s findings, Google’s AI Overviews do not hand out recommendations arbitrarily. The brands that consistently appeared in the AI-recommended lists were those that already possessed dominant market positions. These winning brands shared several key characteristics:
- Category Leadership: They were already established leaders in their respective software categories.
- Third-Party Validation: They were widely mentioned, reviewed, and recommended across independent, neutral third-party web domains.
- Strong Backlink Profiles: They had robust, natural backlink profiles built over years of genuine digital PR and customer acquisition, rather than relying on quick-fix SEO tactics.
When Google’s AI processes a query like “best task management software,” it cross-references information across the web. If a lesser-known tool claims to be the “best” on its own website, but third-party platforms like Reddit, Forbes, and G2 overwhelmingly point to a competitor like Asana or Monday.com, the AI model will discount the self-serving claim and recommend the industry giants instead.
The Decline of Organic Visibility for Self-Promotional Brands
The issues surrounding these self-ranking listicles extend beyond lost opportunities in AI Overviews. Brands relying heavily on these formats have seen catastrophic declines in their traditional organic search traffic.
Ray’s research indicates that the organic search downturn for these sites began around January 20. Dozens of analyzed domains that aggressively published self-promotional listicles experienced sharp drops in visibility. Many of these websites had scaled their content production using programmatic SEO, AI-generated comparison pages, and massive volumes of “best of” articles designed to rank their own brand first.
This downward trend accelerated dramatically during Google’s May 2026 core update. Some SaaS and B2B brands reported losing between 30% and 50% of their overall organic search visibility. Google’s core updates have increasingly prioritized helpful, reliable, and people-first content, systematically weeding out low-quality, biased comparison pages that offer little real-world value to consumers.
The Rise of UGC and Independent Review Citations
As Google demotes self-serving brand listicles, where is it turning for source material? The data shows a massive shift toward independent third-party sources and user-generated content (UGC).
In recent months, Reddit citations in Google AI Overviews have increased sharply, particularly for searches containing the word “best.” Users trust Reddit because they perceive the discussions as authentic, unbiased, and free from corporate marketing agendas. Google’s algorithm has aligned with this user preference, frequently highlighting discussions, threads, and reviews from Reddit in its AI-generated answers.
Beyond Reddit, other domains heavily cited in “best” software queries include:
- Forbes and major media publishers: Sites with high domain authority that publish independent editorial reviews.
- YouTube: Video reviews and walkthroughs that offer visual proof of product performance.
- Independent review directories: Trusted review aggregators that feature verified user feedback.
By shifting citations to these independent platforms, Google aims to provide searchers with objective, trustworthy recommendations rather than biased marketing copy.
The Legal Risks of Self-Promotional Listicles
While the loss of organic traffic and AI visibility is a major concern for marketers, there is an even more serious issue associated with self-ranking listicles: growing legal risk.
The Federal Trade Commission (FTC) has significantly cracked down on deceptive marketing practices under its updated Consumer Review Rule. Under these regulations, presenting company-controlled content as independent, unbiased reviews can carry severe penalties. When a brand publishes a listicle ranking itself as the “best” choice while pretending to offer an objective industry review, it may run afoul of the FTC if:
- The review is presented as independent but is actually controlled and authored by the company selling the top-ranked product.
- The rankings are not based on genuine, objective testing or verified customer use.
- The material relationship between the website owner and the products being reviewed is not clearly and conspicuously disclosed to the reader.
As search engines and regulatory bodies both target deceptive marketing practices, the risk of using self-promotional listicles as a primary customer acquisition channel has never been higher.
How B2B Brands Must Pivot Their SEO Strategy
The era of gaming the search results with biased “best of” pages is coming to an end. To survive and thrive in an environment dominated by Google AI Overviews, B2B and SaaS brands must evolve their search strategies.
1. Stop Building Biased Comparison Pages
Instead of creating self-serving comparison pages that rank your brand first by default, focus on providing objective, high-quality, and nuanced information. If you compare your product to competitors, be honest about your strengths and weaknesses. Acknowledge the specific use cases where a competitor might actually be a better fit for a customer. This level of transparency not only builds trust with human readers but aligns with the search engine’s desire for balanced, unbiased information.
2. Invest in Third-Party PR and Brand Mention Campaigns
Since Google’s AI Overviews prioritize brands with strong external validation, your goal should be to get mentioned on high-authority, independent sites. Shift your resources from writing internal listicles to securing coverage in reputable industry publications, obtaining editorial mentions, and getting featured on legitimate “best of” lists curated by neutral third parties.
3. Cultivate Real User Reviews on UGC Platforms
Because platforms like Reddit, YouTube, and specialized review sites are gaining significant traction in AI Overviews, you must establish an active presence there. Encourage your satisfied customers to share their genuine experiences on Reddit, Quora, G2, Capterra, and Trustpilot. Engaging in community-driven discussions and building organic brand advocacy will increase the likelihood that Google’s AI will find and recommend your brand when sourcing data from UGC spaces.
4. Shift From SEO to Generative Engine Optimization (GEO)
Generative Engine Optimization involves optimizing your digital footprint so that AI models naturally associate your brand with relevant keywords and solutions. This is achieved by publishing comprehensive, research-backed whitepapers, proprietary data studies, and thought-leadership content. When your brand becomes the primary source of original data in your industry, AI engines will have no choice but to cite and recommend you as an authoritative voice.
Conclusion: The Future of AI Search and Brand Authority
The findings from Lily Ray’s analysis, detailed in her Substack report “Why Calling Yourself the Best Could Be Helping Your Competitors Win in AI Search”, serve as a wake-up call for the digital marketing industry. Modern search engine algorithms have evolved beyond merely matching keywords; they are now sophisticated enough to evaluate bias, detect self-promotion, and separate citations from actual recommendations.
Publishing biased, self-serving listicles is no longer a viable shortcut to search dominance. In fact, it has become a strategy that actively helps your competitors win. To protect your search visibility and ensure your brand is recommended by Google’s AI Overviews, you must abandon outdated, manipulative SEO tactics. Instead, focus on building genuine authority, fostering authentic third-party reviews, and creating unbiased, people-first content that stands up to the scrutiny of both search algorithms and real users.