Key takeaways
- It’s not random, and it’s not about who spends the most. Models reflect what the web says about brands.
- Two mechanisms drive it: what a model learned in training, and what it retrieves live when it answers. Your web presence feeds both.
- Brand web mentions, not backlinks, are the factor most strongly correlated with AI visibility in the largest study to date.
- Being described the same way everywhere (entity consistency) matters as much as being mentioned.
- The lever is simple to state and slow to build: be the brand the web consistently talks about, clearly and in the right context.
Ask an AI assistant for the best option in almost any category and it will name a few brands. Why those and not others? It isn’t random, and it isn’t decided by ad budgets. Once you understand the logic, your whole approach to visibility changes. Here’s how these models actually choose. For the wider context on how these tools differ from a search engine, start with what AI search is and how it differs from Google.
The two mechanisms, in plain terms
An AI model draws on two things when it names a brand.
First, what it learned in training. During training, the model absorbed huge amounts of the web. If the web consistently associated a brand with a category and a use case, the model “remembers” that association and recalls it when asked.
Second, what it retrieves live. Many assistants now also search the web at the moment you ask, pulling in fresh pages to ground their answer. Your current content and mentions feed this step. And the set of assistants doing that retrieving keeps shifting: ChatGPT’s share of the AI assistant market slipped below 50% for the first time in 2026 as Gemini and others grew, so the signal you build has to read well across several models, not just one.
Both mechanisms point at the same thing: what the wider web says about you. You’re not gaming a prompt; you’re shaping the aggregate signal the model reads.
Why mentions matter more than your own page
This is the part most brands underestimate. Models surface the brands that are talked about, in reviews, comparisons, roundups, communities and press, not just the brands with the nicest homepage.
The largest study on this points the same way. Ahrefs analyzed 75,000 brands and found that brand web mentions were the factor most strongly correlated with AI visibility, at 0.664, far ahead of backlinks at 0.218. Correlation is not causation, and strong brands naturally accumulate both, but the direction is clear: how much the web talks about you tracks how often AI names you, more closely than the classic link signal does.
We see the same pattern in our own monthly research tracking which brands AI recommends across industries: the brand an AI recommends most in a category is frequently not the biggest or best-known one, but the one the relevant corner of the web discusses most consistently. An unknown brand that dermatologists and forums keep recommending can outrank luxury names an AI has barely “heard” discussed.
The nuance people miss: consistency
It’s not only how often you’re mentioned. It’s whether you’re described the same way everywhere.
If one site calls you a “project tool,” another an “email app,” and a third a “CRM,” you make the model unsure what you even are, so it hesitates to recommend you for anything specific. Consistent naming, category and description across the web is itself a signal. Nail your entity, same name, same category, same description, on your site and off it.
Being named and being cited are also two different battles. In Semrush’s AI Visibility Index, an analysis of 126 million prompts across more than 1,200 brands, fewer than one in five brands manage to be both frequently mentioned and consistently cited as a source, and the overlap between the brands an answer names and the domains it actually cites ranges from around 64% on Google AI Overviews down to as low as 30% on Gemini. Clear, consistent positioning is what closes that gap.
What to actually do
Three moves, in order of leverage.
Be unmistakably clear about what you are, everywhere. Get described consistently across your own pages and third-party sources. Then earn mentions where your buyers and the models look, reviews, comparisons, communities, trusted media, and especially original data others want to cite. That last point is well evidenced: in the Princeton-led GEO study, adding quotations was the biggest lever the researchers tested, lifting visibility by roughly 41%, with adding relevant statistics close behind at about 31%. For how to shape your own pages so they get pulled into answers, see how to structure content to get cited by AI.
None of this is fast. But it’s the same work that builds durable authority on Google, so you’re never wasting it.
Frequently asked questions
Can I pay to be recommended by AI?
Not directly, and you shouldn’t try to trick it. What you can do is invest in being genuinely and consistently referenced across the web, which is what the models reflect.
How long does it take to influence what AI says about my brand?
It’s a slow lever, because it depends on the web’s aggregate view of you shifting. Consistent mentions and clear positioning compound over months, not days.
Do I need to be on every platform?
No. Be trusted in the specific places your buyers and the models rely on, the relevant reviews, communities and media for your category, rather than spread thin everywhere.
Written by Matthis Duarte, a senior SEO and organic growth expert with 10+ years of experience driving organic growth for international brands across highly competitive verticals. He is the founder of Knownful, an independent publication on SEO and organic growth featuring in-depth guides, best practices, playbooks and original analyses, including a free monthly study of which brands AI actually recommends across 10 industries.
