Is AI Using Your Content to Recommend Your Competitors?
Imagine spending weeks consulting industry experts and analysing competitors to produce original content, only for ChatGPT to cite your work while recommending a competing brand.
This phenomenon happens so often that the SEO industry has given it a name: Ghost citations. And it is the reason why business-as-usual SEO may not be as effective in the AI search era.
What Is a Ghost Citation?
According to Seer Interactive, ghost citations occur when a content piece is trusted enough to be used as a source, but the brand is not known well enough to be mentioned. Studies find that 61.7% of AI citations are ghost citations, meaning that most brands appearing in AI sources are never named in the answers their content helped generate.
And the difference between being cited and recommended is huge. According to Pew Research Center, users click AI citations just 1% of the time. Recommended brands, on the other hand, earn 35% more organic clicks within the same queries.
So if your SEO team tells you that you’re ranking No.1 on ChatGPT, it’s worth asking what that actually means. SparkToro's research found fewer than 1 in 100 paired runs of the same prompt return the same brand list. Which means that it is structurally impossible to ‘rank No.1’ on an AI model.
Why won’t AI recommend my brand?
Most people assume that AI recommends sources with the best quality content. But AI search tools actually operate on two layers.
The first is parametric memory. That is, knowledge baked into the model during training before its cutoff date.
The second is real-time retrieval, where the model pulls live web sources to support its answer.
The key word here is ‘support’. Recommendation comes from parametric memory first. This means that publishing content on your website has limitations, because parametric memory is shaped by how often your brand appeared across third-party publications, forums, and reports that the model was trained on.
Simply put, your own content earns you citations, while third-party coverage earns you recommendations.
How to move from ghost citations to genuine recommendations
The good news is that ghost citations are not a dead end. While not the end goal, earning citations is a sign that your content has earned enough credibility for models to trust your domain.
The next step towards receiving AI brand mentions comes from conversations beyond your website. This can involve earning natural backlinks from high quality domains and expanding your share of voice on the most relevant community platforms.
Ahrefs found strong correlations between how often brands are mentioned across the web and its visibility in AI Overviews. Notably, brands in the top quartile of web mentions averaged over ten times as many AI Overview mentions as those in the 2nd quartile.
Brands that are embedding themselves in parametric memory now can establish a strong lead for themselves when it comes harder for later entrants to displace them in the future, much like how the early movers in SEO have been compounding their advantage since the early 2000s.
Optimise your brand for the AI recommendation engine
Instead of blindly chasing every AI engine update and overhauling your entire SEO strategy in the process, why not work confidently on a plan grounded in strong fundamentals?
Join our 5-part SEO & Ai Search Fast Lane Webinar series hosted in collaboration with Catalynk Search, where we explain exactly how AI interacts with your online presence so that you can stay committed to the tried-and-true path without being swayed by every hack and trick that comes along. Register here →
References
Seer Interactive - LLM Ghost Citations: Why Your Content Is Working And Your Brand Isn’t.
Jaxon Parrott, Authority Tech - 61% of AI Citations Are Ghost Citations — How to Tell If Your Brand Is Actually Visible in 2026. 12 May 2026.
Jeremy Parker, Tyneside Marketing - AI Overviews and Click-Through Rates: What the Data Shows (and What Small Businesses Should Do). 14 April 2026.
Rand Fishkin, SparkToro - NEW Research: AIs are highly inconsistent when recommending brands or products; marketers should take care when tracking AI visibility. 27 January 2026.
Louise Linehan, Xibeijia Guan, Ahrefs - An Analysis of AI Overview Brand Visibility Factors (75K Brands Studied). 26 May 2025.