Brian Stempeck
speaker
431 appearances
5 recordings
1 series
first heard Dec 2025
last heard 19 Dec
Brian Stempeck’s voice in public audio — every appearance, attributed to the second.
Trend
recordings per month · last 12 monthsRecordings per month over the last 12 months — 5 in all, peaking in Dec 2025 with 5.
Appearances
With AI, you have a lot more time, you have a lot more word count, you can get into a lot more detail.
And so step one is making sure the AI model knows everything about your product set, that it knows the difference between the cured model that's meant for the workplace versus the cured model that's meant for home.
That it knows like what temperature does the coffee maker get up to?
If somebody wants really, really hot coffee, can you make it strong or weak?
Like all these details that might be overkill for a consumer, other than somebody who's like really crazy about Keurig, right?
But it's going to inform how an AI model answers the question.
And the more data it has to pull from, the better answer it can give.
So if if we move from Keurig as an example,
The other place we often see something like this is increasingly in B2B.
So in software,
the business buyer, this is a if you're buying, let's say, CRM software and you're a small business, you're thinking, okay, do I do HubSpot or do I do Salesforce or do it do I do something else?
Increasingly, what we're seeing from B2B buyers is they're kind of running that RFP that they might have done in the past.
They're doing that with AI.
They're having a research agent go out and doing a really deep search saying, okay, go val evaluate CRM software platforms by cost per seed and what it's gonna cost me in two years, and integration with email, and like this long list of features that they might look at in an RFP or have somebody fill out in a spreadsheet.
We're seeing that happen in AI.
And so if you are a software company,
And the AI agent coming to read up on your website, read up about your case studies and essentially fill out this RFP, it's gonna have the information.
And so a long way of saying, whether you're Keurig or this or HubSpot or a B2B software company, step one is make sure the AI models have as much information as possible about your product and your brand so that they can recommend it, so they can get the right price and the right SKU.
And that's not always how marketers think, right?
Marketers often are thinking, where do I get the most bang for the buck with the consumer?
Showing 281–300 of 431 · page 15 of 22
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