Eric Enge
speaker
265 appearances
5 recordings
1 series
first heard Dec 2025
last heard 12 Dec
Eric Enge’s voice in public audio — every appearance, attributed to the second.
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recordings per month · last 12 monthsRecordings per month over the last 12 months — 5 in all, peaking in Dec 2025 with 5.
Appearances
And here's where it's bigger difference between LLMs and search.
search is very tied to user engagement as measured by the Chrome browser.
And LLMs don't have that available to it, but they can see back and forth interaction with the LLM surface that the user is interacting through, as well as authority signals, a whole other conversation.
But
this is just something you can decide to do it now and you can have it in place in two weeks and be, you know, rolling on down the highway and doing things that improve your chances of ranking in all these platforms.
Such as an agentic browser?
So, yeah, well, it will change.
It'll be, and this is true for ChatGPT and, you know, Claude and Perplexity and Copilot and all of them, is that they currently have this experience which is kind of parallel to before Google had Chrome available and they would measure interactions between the user and the search results.
So people speculated for years if somebody went to a website and bounced back,
Was that a negative signal?
And that particular interaction probably is asked, probably wasn't directly used as a signal, but things related to it were.
Because there are certainly queries where user bouncing back fast is actually positive because they got what they wanted so quickly.
And so there's a lot of nuance in all of that.
But Google has been using the interaction with the search results, like going back and doing a clarifying search.
which means that the question wasn't answered by whatever sites the person used.
And so that is available right now to OpenAI and Anthropic and all the rest, right?
And so I'm sure they're using it.
Yeah, it's a great question because the reality is that the big, big difference in the LLMs in terms of the output
which actually does relate to your question, don't worry, I'm not going in an entirely different direction, is that they try to anticipate the next question and they try to, in the responses they provide, not just simply directly answer the question asked, but the next one and the next one and the next one.
And that's fundamental to how the LLM algorithms work.
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