AI search doesn't care where you rank. It considers 100+ results and only cites a handful. The secret? High fact density and mentioning your brand by name. Stop optimizing for rankings — start optimizing for recommendations. #AIsearch #SEO #AIoverviews #sea...
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 and then they click on one of the top ranked pages. In that paradigm, the only thing that really matters is how well you rank for those keywords. In AI search, on the other hand, the human performs a search or a prompt, and then the AI breaks that down into a series of searches. And then instead of considering one or two results where a human would, it will typically consider a
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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...
Public Insight Cards
In AI search, being indexed and relevant may be enough to enter the result set, while the hard part is being cited and trusted among many considered pages.
AI visibility / citation mechanics · asserts
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...
“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.
AI visibility / primary bias · 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...
Pages are more likely to be cited when the target term appears in the title, secondary terms appear in H2s, and answers are given directly after headings.
AI citations / page structure · 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...
High fact density is claimed to improve AI citation likelihood: each answer or claim should be supported by two or more facts, statistics, quotes, or reputable third-party sources.
AI citations / fact density · 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...
To influence AI recommendations, the page should explicitly name the brand as a solution and support that recommendation with facts, numbers, awards, or testimonials.
AI recommendations / brand framing · 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...
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