LLMs

11 statements across 4 episodes · 6 bullish · 2 bearish · 4 people on the record · first statement Oct 24, 2025 by Neil Patel · across every show →

Everything said about LLMs, oldest first

Oct 24, 2025 positive
Insight
Patel: Structured table comparisons help websites rank better in LLM citations
“And let's say if you want to compare best CRNs for construction companies and you write your own article for that on your own blog and you go super in depth, that's a great way for you to drive more signups, right? And you would do it in a table format. Pricin…”
Neil Patel Oct 24, 2025 ▶ 12:51 #2282 Neil Patel’s insanely powerful AI sales machine
Nov 11, 2025 positive
Assertion Supported
Ethan Smith: LLMs frequently cite YouTube, TikTok, and LinkedIn, but rarely X
“It generally, so LMs, the classes of domain types of domains that are cited frequently, video and UGC are huge. Instagram, TikTok, LinkedIn, I am not seeing X that much. And then video and YouTube shows up a lot.”
Ethan Smith Nov 11, 2025 ▶ 6:25 #2285 AEO: How to make ChatGPT promote you
Nov 11, 2025 bearish
Assertion Supported
Smith: The llms.txt protocol does not work
“So the intention of LMS.txt is to get more traffic and to send information about, it's not to block, it's to send more information to the LMS so that you get more traffic, but it doesn't work.”
Ethan Smith Nov 11, 2025 ▶ 22:20 #2285 AEO: How to make ChatGPT promote you
Nov 11, 2025 bullish
Assertion Supported
Smith: Search volume is 5x to 10x larger than LLMs
“I think it's five X, at least five X LMs, maybe 10 X, depending on the category. So it's way bigger than AEO.”
Ethan Smith Nov 11, 2025 ▶ 17:56 #2285 AEO: How to make ChatGPT promote you
Nov 11, 2025 bullish
Assertion Not checkable as stated
Ethan Smith: 8% of Webflow's signups come from LLMs
“Eight percent of their signups come from LMs.”
Ethan Smith Nov 11, 2025 ▶ 1:41 #2285 AEO: How to make ChatGPT promote you
Nov 11, 2025 positive
Assertion Supported
Smith: TechRadar Is Among Most Cited LLM Domains Despite Affiliate Disclosures
“TechRadar is a good example. TechRadar shows up A huge amount. It's one of the most cited domains in LMs. And you'll see a snippet at the top saying we're an affiliate site and it does really well. There's no evidence that a paid for mention does worse than a …”
Ethan Smith Nov 11, 2025 ▶ 26:31 #2285 AEO: How to make ChatGPT promote you
Nov 11, 2025
Assertion Not checkable as stated
Ethan Smith: LLM video citations require only hundreds of views, not millions
“What I will say is that for many questions, the number of views is not millions or hundreds of thousands, it's hundreds or a few thousands. So it's still pretty, it's still something that you could win without being an influencer.”
Ethan Smith Nov 11, 2025 ▶ 8:54 #2285 AEO: How to make ChatGPT promote you
Nov 17, 2025 neutral
Assertion Partly supported
Singla: LLMs now index on-screen text in Instagram and TikTok videos
“So if you see most of Instagram and TikTok they've just become indexable on search, Instagram specifically. So which means LLMs can now actually go through your video and see all the text you have on your video and then prop that video up specifically. So it's…”
Anirudh Singla Nov 17, 2025 ▶ 19:23 #2286 Pepper: AI + people = > $10 million
Nov 17, 2025
Assertion Not checkable as stated
Singla: Freshness timestamps boost LLM surfacing probability by 25%
“All LLMs give, there's a 25% probability that your content will get surfaced up better if you map out freshness of content.”
Anirudh Singla Nov 17, 2025 ▶ 9:40 #2286 Pepper: AI + people = > $10 million
May 30, 2026 positive
Opinion
Ries: LLMs may be the best teaching technology in history
“And what's cool about LLMs I think is not that they're artifact generating machines. They're okay at that, but like take them out of their distribution and all of a sudden you're in big trouble, but they're incredibly good teaching machines. There may be the b…”
Eric Ries May 30, 2026 ▶ 20:20 #2307 Eric Ries: Why Anthropic Won and How To Build Incurruptible companies
May 30, 2026 negative
Insight
Ries: Correcting LLM errors in-chat increases likelihood of bad outputs
“And that has to do with the mechanics of the attention mechanism. As the contracts gets larger, you're literally spreading the attention over more and more and more data. But also, it's learning from all the bad examples it gave. So it's actually much more lik…”
Eric Ries May 30, 2026 ▶ 28:23 #2307 Eric Ries: Why Anthropic Won and How To Build Incurruptible companies
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