Patrick Biddiscombe explains how large language models favor brands frequently mentioned alongside relevant keywords. Small companies can rank higher in AI-generated answers by creating content that co-cites their brand with target terms, exploiting how LLMs learn from word associations.
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The large language models are trained on the Internet and they are going to look at what are the most common words cited with a thing. What is word co citation? So in that case you would say, well, it would say, hey, every time I see CRM small business HubSpot is like the next word or the word before, right? And I'm sure someone who is much more scientific at this would say that's completely wrong. Or there's a different variation of that. But like word co citation makes a lot of sense. And what is what Ethan said, which is hey, the more times you're co sided with the words that someone asked LLM, the more likely it is you're going to appear in an answer and that your brand that means the opportunity right now is which is the thing you're making the point on is hey, if you're a small company and you can get a bunch of material on the Internet that basically co cites you with these other words, then you're more likely to appear in some of these answers today.