Chris Andrew

speaker
441 appearances 5 recordings 1 series first heard Apr 2025 last heard Apr 2025

Chris Andrew’s voice in public audio — every appearance, attributed to the second.

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How do I need to be represented more towards the bottom of the funnel when my product is being compared against my peers and competitors?
And from a comprehensive nature, these models are non-deterministic.
And what that simply means is that you're going to get different results for the same question at different points in time.
If you ask GPT the same question twice, it will give you a slight variation on the answer, potentially different sources, potentially different answers.
It's certainly giving different answers based on memory of people in different locations, but even the same exact question from the same user comes back with a different answer.
So what does that mean?
It means we need to track this at scale over time.
You can't be like, oh, I did a search, we show up number one, because that same search might put you at number three.
And a week from now, maybe you're not present.
And so everything we do is at an enterprise grade, which is comprehensive monitoring multiple times throughout the week, capturing that information.
Some enterprises that's multiple times a day, others is a handful of times a week, but ratcheting up that monitoring at scale.
So you have real time series data to say, okay, you know, let's pretend I'm a clothing brand and making sure that my presence is showing up for the back to school.
Specials is important to me.
Well, we might need to run hundreds or thousands of prompts about that mother persona prepping to you know clothe two or three kids going back to school.
Is my brand showing up?
Yes or no?
For this variation, for that variation, what partner sites are being linked?
Is it going to my shopping page or a blog page?
Tracking all of that at scale is the foundation to understand the changes you need to make.
And I think from a monitoring
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