AI Search Factor #1_ Selection Rate & Primary BiasAI search already has opinions about your brand before it even searches. Here's what that means for you. #AISearch #SEO #DigitalMarketing #ChatGPT #SmallBusiness
Yesterday I read the best overview I've ever seen on AI search. It was from Kevin Indigo's newsletter Growth Memo, and he went over everything it takes to be recommended by large language models like ChatGPT or Google's AI mode. He broke it down to 11 factors to determine which brands AI Search recommends. And it was so good that I thought I'd do a video on each factor. He starts by explaining how AI search works. When you ask a question to a large language model, it will usually perform a search on the web. This starts with a retrieval of relevant web pages. It will then site or look at some of those web pages, and finally it'll decide which of those pages can be trusted. So for now, we're just focused on retrieval, and we're gonna start with the first factor, which Kevin calls selection rate and primary bias. Primary bias refers to the bias that large language models have befo
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Yesterday I read the best overview I've ever seen on AI search. It was from Kevin Indigo's newsletter Growth Memo, and he went over everything it takes to be recommended by large language models like ChatGPT or Google's AI mode. He broke it down to 11 factors to determine which brands AI Search recommends. And it was so good that I thought I'd do a video on each factor. He starts by explaining how AI search works. When you ask a question to a large language model, it will usually perform a search on the web. Thi...
cusing on hyper specific terms. They tend to be much less competitive. If you want to be recommended for competitive terms as a smaller brand, you're going to have to get recommendations placed on those websites that are already seen as an authority in your space. So what can you do to improve your primary bias and therefore improve your selection rate? You need more information about your brand across the internet. This isn't something you can fix overnight. Make sure you're consistently using the same brand na...
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Large language models may have a pre-search bias toward brands or sites already seen as trusted authorities, affecting which pages are retrieved first for AI answers.
AI visibility / primary bias · asserts
Yesterday I read the best overview I've ever seen on AI search. It was from Kevin Indigo's newsletter Growth Memo, and he went over everything it takes to be recommended by large language models like ChatGPT or Google's AI mode. He broke it down to 11 factors to determine which brands AI Search recommends. And it was so good that I thought I'd do a video...
Smaller brands may have better AI-search opportunities by targeting hyper-specific terms because competitive broad terms amplify primary bias toward established authorities.
AI visibility / smaller brands · asserts
Yesterday I read the best overview I've ever seen on AI search. It was from Kevin Indigo's newsletter Growth Memo, and he went over everything it takes to be recommended by large language models like ChatGPT or Google's AI mode. He broke it down to 11 factors to determine which brands AI Search recommends. And it was so good that I thought I'd do a video...
For competitive AI-search terms, smaller brands may need recommendations on websites already treated as authorities in their space.
AI visibility / authority placements · asserts
cusing on hyper specific terms. They tend to be much less competitive. If you want to be recommended for competitive terms as a smaller brand, you're going to have to get recommendations placed on those websites that are already seen as an authority in your space. So what can you do to improve your primary bias and therefore improve your selection rate? Y...
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