These are deterministic, source-backed cards from the offline export. They are not live AI answers.
“Primary bias” is described as what a model already believes about a brand from training data, influenced by broad positive online mentions but hard to change directly.
@@tjrobertson52 · asserts
you do need your page to be cited. So let's talk about the most important factors for being cited and ultimately recommended. The first factor is the hardest to influence. It's what's known as primary bias. This is just what the model already thinks about your brand before performing a search, and it's based on its training data. There's really no easy wa...
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.
@@tjrobertson52 · 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...
AI search doesn't care where you rank. It considers 100+ results and only cites a handful. Th...
@@tjrobertson52 · 2026-03-13
You need to stop thinking about how to rank in traditional Google search and start focusing on how to get recommended. In AI search. Cause pretty soon all search will be AI search. I think it's gonna happen by the end of this year. And to be clear, this will still be mostly happening on Google. It's just gonna be an AI giving you the results. I want to ta...
AI Search Factor #1_ Selection Rate & Primary BiasAI search already has opinions about your b...
@@tjrobertson52 · 2026-01-09
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...
You need to stop thinking about how to rank in traditional Google search and start focusing on how to get recommended. In AI search. Cause pretty soon all search will be AI search. I think it's gonna happen by the end of this year. And to be clear, this will still be mostly happening on Google. It's just gonna be an AI giving you the results. I want to talk about the most fundamental shift, cause it seems like most people are struggling to understand this. In traditional Google search, a human performs a search...
you do need your page to be cited. So let's talk about the most important factors for being cited and ultimately recommended. The first factor is the hardest to influence. It's what's known as primary bias. This is just what the model already thinks about your brand before performing a search, and it's based on its training data. There's really no easy way to influence this. But the more content there is online talking about your brand in a positive light, the more likely AI is to site your website. The other ba...
u're on your own website. Don't say we or our. Say your brand's name. And then immediately after recommending your brand, back it up with two or more facts. Share numbers you're proud of, awards you've won, or testimonials from customers. Now, you don't want to turn the entire article into a sales letter, but I recommend doing this at least once at the top of the article, right after addressing the main question, and then in one or two other places if it makes sense. There are a handful of other factors that aff...
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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