AI Search Engines Favor Directories Over Brand Websites

Sector directories now account for 41% of citations when users ask AI models for provider recommendations, more than doubling the 18% share held by brand-owned websites [4]. This shift in how AI search engines like ChatGPT, Perplexity, and Google AI Overviews surface information suggests that visibility for businesses is increasingly tied to third-party aggregators rather than direct traffic to company homepages [4].

The shift in AI visibility

The data, published by Citations.press, analyzed 3,850 commercial prompts across four major AI search surfaces between 10 June and 22 August 2026 [4]. The findings highlight a significant disparity in how models prioritize sources: when a user prompts an AI for a specific category—such as "engineering" or "IT suppliers"—the models consistently favor comprehensive lists over individual brand sites [4]. In the engineering sector, directories were cited 4.2 times for every single citation of a brand-owned page [4].

This trend appears to be driven by the AI’s objective to provide a complete answer to a narrow query [4]. The study found that a directory’s "coverage depth" within a category was a stronger predictor of citation frequency than its overall domain authority, which showed only a weak correlation of 0.19 [4]. While brand homepages appeared in 14% of all responses, their presence dropped to 6% when the prompt specified a category rather than a company name [4].

Industry implications

The results align with broader research into AI search behavior. A separate study by DeltaV Digital, which examined over 25,000 citations, reported that listicles accounted for 61% of citations within B2B technology services, with some categories showing zero percent share for own-domain citations [4]. Similarly, analysis from Semrush and Peec AI confirms that citation weight is increasingly concentrated among a small number of aggregating platforms, such as G2 and Yelp [4].

These findings suggest that the traditional strategy of optimizing for direct brand traffic may be losing efficacy in an AI-driven search environment. As models prioritize "resolving the question completely," businesses that rely on direct search traffic may need to adjust their digital presence to ensure they are featured on the directories that AI models currently favor [4].

What to watch

• Replication efforts: The study authors have published their underlying records to encourage independent replication of these findings, which are currently based on a single dataset from one summer [4].
• Sector-specific shifts: Future monitoring will determine if the directory-heavy citation pattern holds in consumer-facing categories, where the current study noted that assistants returned individual businesses more often than provider lists [4].
• Model updates: As AI search engines refine their algorithms, watch for changes in how they balance "coverage depth" against other ranking signals like domain authority [4].

The data suggests that for many B2B sectors, the battle for AI visibility is no longer happening on a company's own website, but on the third-party platforms that aggregate them. Whether this pattern persists as models evolve remains the central question for digital marketing strategy.