Source record

@tjrobertson52 source record

Replying to @weblinkrRanking in LLMs is not EXACTLY the same as ranking in traditional search engines. Fight me (or don't, maybe we're just talking past each other)

2025-08-03published
tiktokplatform
3public insights

Topics Mentioned

Public Evidence Excerpt

So this is mostly true, but there are a couple ways where ranking in large language models is very different from ranking in traditional search results. So I want to talk about those distinctions. First of all, web linker here. I have a lot of respect for him. He runs the SEO subreddit, really knows what he's talking about, and I think on like 90% of issues we agree. On this one it seems like there's some disagreement, or maybe there's just miscommunication. So let me kind of lay out what I see as the differences between ranking in traditional search versus these large language models, and then you can tell me if we're on the same page. So, as I've said many times on this channel, yes. Anything you can do to show up higher in traditional search results will also help you show up in large language models. There is some parity there, but it's not perfect parity. So if you rank on page on

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Related Passages

So this is mostly true, but there are a couple ways where ranking in large language models is very different from ranking in traditional search results. So I want to talk about those distinctions. First of all, web linker here. I have a lot of respect for him. He runs the SEO subreddit, really knows what he's talking about, and I think on like 90% of issues we agree. On this one it seems like there's some disagreement, or maybe there's just miscommunication. So let me kind of lay out what I see as the difference...
ls will look up to 300 pages. And they're gonna synthesize the information across all of those pages. So, yes, you do need to be found on those 100 pages. But one, it doesn't need to be your website. They're just looking for information about your brand. So as long as you're mentioned on those pages, that's enough. That's a big shift from traditional search engines, where we really cared about your website ranking and getting links. Now we just care about all the websites that are showing up mentioning your bran...
ng on the broad, short competitive terms, but think about all the long tail terms that are very specific to a given searcher or that might show up in a query fan act. And now a lot more traffic is going to be going to pages like that. Right? So that changes your content strategy a little bit. But also it should change your outreach strategy. You should be monitoring all the websites that these large LinkedIn models crawl, cause you want to be mentioned as much as possible. If you're mentioned more than your comp...

Public Insight Cards

The creator argues GEO differs from SEO because AI systems use query fan-out, inspect many more pages than humans, and often synthesize information from 100–300 pages.

GEO vs SEO strategy · asserts

So this is mostly true, but there are a couple ways where ranking in large language models is very different from ranking in traditional search results. So I want to talk about those distinctions. First of all, web linker here. I have a lot of respect for him. He runs the SEO subreddit, really knows what he's talking about, and I think on like 90% of issu...

Open

The video claims that for LLM visibility, a brand being mentioned across many relevant pages may matter more than the brand’s own site ranking, because models look for information about the brand across sources.

Third-party mentions / AI visibility · asserts

ls will look up to 300 pages. And they're gonna synthesize the information across all of those pages. So, yes, you do need to be found on those 100 pages. But one, it doesn't need to be your website. They're just looking for information about your brand. So as long as you're mentioned on those pages, that's enough. That's a big shift from traditional sear...

Open

The creator claims social media matters more for LLM visibility than it did for traditional Google traffic because LLMs crawl social sites and use them as evidence.

Social/search surface · asserts

ng on the broad, short competitive terms, but think about all the long tail terms that are very specific to a given searcher or that might show up in a query fan act. And now a lot more traffic is going to be going to pages like that. Right? So that changes your content strategy a little bit. But also it should change your outreach strategy. You should be...

Open