Using AI to Shop for a Car? Are the Answers Bought and Paid For?: Ep. 137
Oct 27, 2026
AI Generated·May contain errors
Video Summary
AI GeneratedThis discussion examines how Large Language Models (LLMs) are transforming the automotive industry by shifting car shopping from traditional search to AI-driven \"agentic commerce.\" It explores the transition toward guided user funnels, the risks of sponsored bias in AI recommendations, and the necessity for dealerships to integrate their data into AI ecosystems to remain visible and competitive.
When it comes to buying a new vehicle,
no doubt a lot of folks switch from Googling what car they
should buy to asking their favorite LLM.
But are the answers you're getting paid for by advertisers?
Well, we all know that Google search results page became
a cesspool of sponsored links quite a long
time ago. But has ChatGPT gone down that route already?
It took Google decades to dissolve into
what it's become, and it seems like Google's
replacement isn't wasting any time in the hunt
for profits. So what's really going on here?
Well, up next, we'll have a fascinating guest
from an AI firm who's discovered some interesting things going
on in the world of car research,
car shopping, and artificial intelligence.
Stay tuned. Awesome. Welcome to the show,
Corey. Very excited to have you here.
Maybe you could give us a little background on yourself,
a little bit about CarGenius, what you do there.
I guess it's your own company,
uh what what the company does
and then maybe i'm curious just how you wound up you know founding
this company what got you into this whole industry
in the first place that's a lot of questions but
maybe you can give us yeah i love it um well well thanks
for having me on and i love to talk about
what we're doing because i think it's
a really exciting topic right now um so yeah i'm the
founder and CEO of CarGenius AI
but i've been building automotive for the last 15 years plus so
um before this i built a company called autolist.com and we
were building when these things
are becoming very popular
and consumers are shifting from desktop to mobile as far as
their car shopping behavior.
And we built the leading apps for car shoppers on iOS
and Android in the US, built that to
millions of monthly shoppers,
sold the company to CarGurus in 2020, and spent a couple years
inside of CarGurus.
So I have a marketplace background,
and a lot of that is focused on the consumer side
of car buying.
And really, that's what brought me
to build what I'm building today at CarGenius is as
trying to build a marketplace for consumers,
dealers are probably an important part of that.
And the way third-party marketplaces work today typically
is you offer a product to consumers,
but you charge the dealers. And there's a conflict
in business model a little bit in how you operate.
And that impacts valuations
and it impacts your ability to grow the business. But more importantly,
it impacts your product and your ability to innovate.
Because to innovate in automotive
retail, you need to be working with dealers.
So the point of Car Genius AI, our mission,
And our vision is to fix some of the problems we saw in the marketplace
by bringing the dealers directly into the platform where transactions
and shopping activity is going to happen,
which is, you know, we see being more and more AI,
large language models, whatever you want, ChatGPT, right?
So that's what we're building.
Interesting.
Very cool.
Yeah, it's fascinating.
I just look at it from like when I looked at your site,
when I first sort of stumbled across you guys,
it's you are more dealer focused than consumer focused.
and we're always consumer-focused over here.
So I try and keep that in mind,
but there's obviously a lot of, you know,
there are sort of all parts of the car-buying equation, right?
I think, and in this, maybe,
I think it's somewhat adversarial sometimes,
but I think in this instance,
there's a clear case where what you've highlighted
sort of indicates that there may be some things going on
that both the dealers should know to protect themselves
and make sure they can run a successful business model
and that consumers should know
so that they're well-prepared when buying a car?
Simple example, right?
Like you want a Carfax report
when you're buying a used car, right?
And you go into a third-party marketplace
and try and get a Carfax report and you can't, right?
You end up getting like a link
to pay for an Experian report or something like that
that's going to cost you $40.
If you go to that dealer's site,
look at the vehicle detail page on that dealer's site,
nine times out of 10, they have the Carfax report.
There's more information there.
So there's information that's being withheld
by the consumer on the marketplace side.
That's just, then there's many more like that, right?
Simple example that everyone gets.
But yes, I think that there's a lot of value in getting
the buyer in touch with the install of the vehicle.
Cool. So maybe if I preamble this a little bit,
I stumbled across a post you had made on LinkedIn.
I had never heard of Cardus. That's on me.
And I think there's always lots to learn in this world.
It was a sort of, in a sense, anecdotal post.
But what it shared to me seemed sort of troubling.
It sounded like if you're using an LLM to do your car research,
that the results you're getting might not be as sort
of unbiased as some algo or some agent creating that content.
So I've actually got a bunch of the slides
that I think you shared online, and I can kind
of run through them as you talk, maybe, if I can keep up.
But I'd love for you to sort of share what that post was about and kind
of what you guys have discovered before we dive into anything else.
Yeah, super interesting, right?
And contextually, we run tens of thousands
of searches across the US, across makes and
models to understand what is happening
on a daily basis inside of large language models
as regards to car shopping.
If you're trying to understand the reputation of a dealership,
if you're trying to find
particular inventory, or you're trying to figure out servicing.
So we're running this data set daily across all makes
and models and across all geographies.
And that's kind of where we start to look
at what's going on and see things that are
interesting.
And this one was interesting to us in the behavior we saw,
particularly around ChatGPT,
asking more questions to a user before AI returns an answer.
So it would say, hey, you're looking for a RAV4,
are you going to finance it?
What's your price range? And things like that.
And one of the questions was, are you going
to take cash or are you going to finance?
And if you pick finance, what happens is you end up getting
a user experience where it pulls an inventory.
it's a good answer but the inventory instead
of linking to the dealership it links to Capital One
for all the vehicles right
and this is a local dealership it has that those vehicles but instead
of linking to the local dealer it links to Capital One
because ChatGPT thinks you're going to have a
better user experience potentially going
to Capital One than to the actual dealer and if you scroll
down there's an ad for Capital One
which you know maybe it's a coincidence maybe not um but but you
know this user experience is very different than
the typical chat response you see which you know
i think piqued my spidey sense
so like is this being more guided by humans and product managers
than it is being the large language model just returning answers
because you know as a when
using AI for a long time
and typically the answers you get back it vary from you know day to day
user to user there's consistent themes
but like you see text coming back um and dynamic answers and
this looks a lot more like something that's structured
so i was like this is interesting
let's see what's going on here
which kind of sparked the post i put up um you know i don't
necessarily say that they're taking
and putting their sponsor people up there but like there is
something in in how this is crafted that seems
a lot more intentional than a typical large language
model answer you would see
so i think it's interesting direction that the ai tools are going
um on both the the answers linking
to you know third parties that it might be doing something
differently associated with advertising
but also in the interviewing right so the ai is you know
explicitly interviewing the consumer with buttons
not what they're looking for um which which is a
change yeah it's very different
and to me like it's it's i see sort of like the the good and
bad of this like the the from a a helpful perspective
for everyone involved um you know
it's it's i mean again i have to think
that this is this is designed to to move you further down
the funnel and and you know basically activate on a sale right
which is actually helpful because
in the sense that if you are looking
to buy it's actually helping you get the best you know vehicle
they're they're they're they are moving you down
so they're rather than just sort of landing you
at a you know a very first question like hey what's a good
car and they say Rav4 buy
it here right they're they're actually giving you a lot of information
and they're getting you pretty
far down that funnel to like here's what i really
want here's what i want to pay here's what i use
it for like this is this is good and then i suspect
then the conversion rate is dramatically higher
than what it would be before right
so that's that's good but i also look at this you know
from the consumer standpoint i'm thinking like
when you said the capital one stuff i was like
so like normally these links would probably just go
to a local dealer right or to toyota.com or
something and we know with your zip code already in there
but the fact that it's you know at the
ad and the majority of the links go to capital one
to me says like Capital One is paying for it
right I don't know that you know I don't know
that we can make that allegation uh you know
categorically but that certainly seems like the uh
the likely result right where there's smoke
there's fire so yeah and I can't demo for you here
but I I've seen a fellow entrepreneur of mine
building tools in the job market space
And there are these products inside of ChatGPT where you
can stumble into it
and start to see job posts that only come from Indeed. And you can do a
search as something very specific
like I want to see jobs at Raytheon. That's a very specific
company. And it won't go and pull the job page from Raytheon
It pulls it from Indeed. And there's
UTM parameters in those clicks that seem
to indicate that it's some sort of sponsored
partnership product and we know ChatGPT has
partnership products right so there's the Yelp
partnership where you know the the map um pack
that comes in on certain local searches is using
Yelp data and they have an agreement with Yelp
so it does seem like there are some of these deals
going on behind the scenes for data
and certain types of user experiences and this did start to
feel like one of those things right yeah yeah
but but but not disclosed that we know of right that's
And in any of this
I haven't seen disclosures of those things
So yeah it's interesting
Fascinating
To me that was just so initially I would say
Alarming that
People think that they're
Getting an unbiased
Source but they're moving them down
And maybe even the source
The actual truth of it is unbiased
But where they're actually moving you to buy
In the end is not unbiased
Because to be fair
If you live in
you know uh who was LA or you know San Francisco
or something there's probably three Toyota dealers
within 50 miles of you right so there are a lot of choices
but you know uh and i do think like
i think from a consumer perspective you're going
to buy a car you should be before you go into the
dealership you should be researching pricing
online right like you should be doing your
research on like what that car should cost you should
be getting some sort of pre-approval for
financing if you're going to buy the car with financing
and you should value your trade in
online so you go into the dealership
with more information these are good things right so you
should be doing them um and you know you can
do that in a bunch of different places most dealership
websites let you do that on their dealer on their website
but as a consumer right you know you're
really not gonna trust to do it there
or you're shopping multiple dealerships so there's reasons
why marketplaces add value today
um and i understand why ai is saying them to to those
tools today i think when you start to look
into the future right like what happens in the future
and um you know i also on my past company a marketplace we sold
and we got consumers pre-approved
financing on our platform.
Now, I can tell you that didn't make us any money. And the reason
it doesn't make us any money is because the best people
to finance a car loan are the dealerships
themselves, right? They have deep relationships with local banks
and credit unions and their OEM.
So you typically get the best financing
in most situations from the dealer itself. So even if you
get pre-approved online, the dealer still wins
the deal at the end of the day. So when we start to
think about where the opportunities
are and our whole business is geared towards bringing dealers
into large language models
because it gets really good
at going across multiple things
and working with multiple data sources
to bring that information
into one cohesive view for a consumer.
A consumer doesn't have to go
to 10 different dealership websites
to get price quotes on their trade-in, right?
They don't have to go to CarMax, Carvana,
so Tools.ai will do it for you.
Muse will do it for you, right?
So you can start to get
a really helpful guide in car buying through AI
when it can go and work on your behalf
and if it can interact with the dealership, right?
Like I have no doubt that the Capital One user experience
is probably better than a local dealership experience today.
And I know, you know, there's lots of reasons
we could talk hours, you know,
but most of those dealers are trying to do a better job, right?
And they're trying to provide a better service
to consumers to buy a car there, right?
So, yeah, I think there's a ton of opportunity here
that's going to be better for consumers
and it's going to be better for dealers.
And the large language models are going to provide
a better experience.
You know, when I saw this, I got pretty excited.
because one of the reasons I started this business
and I certainly believe it changes more than car
shopping when AI becomes the front door of any sort
of kind of search activity because we've
been inundated with ads and the last 15-20 years has
been like we're fighting for organic positions
while your organic positions were taken away by paid places
and you know who can pay more
it's just like a tough place to be doing business
and I think you know inside of car dealers they
spend more and more on marketing and get less and less
on returns, right?
So I think there's an opportunity to upset that year
and it's less about how much you can pay
and more about who provides
the better service. And I do truly think
that that is the future inside of AI engines.
And from what I hear Sam Altman
on the stage when they talk about where this is going
I think that's what they see
as the vision. It doesn't mean they can't
make money along the way, but
I'm hopeful that we're moving in a direction where
we have really
clean, good, organic results
but now it's alongside of them.
We can hope, I guess.
It was funny.
You weren't here for my little preamble that I said.
So the listeners who heard the start of the show,
I basically start off basically talking about
how it took Google 15 years to devolve
into like, you know, sponsored link soup, right?
And now like, I'm like, holy crap,
like ChatGPT hasn't been around for that long
and there's already, this is coming in there.
They're seeing, you know, the dollars are very attractive.
So we'll see if they, you know,
go down the same route or not.
So I think earlier when we were sort of conversing,
emailing before the show, you had mentioned there was another article
you had called ChatGPT is asking car shoppers more questions.
Here's why dealers should care.
So some of that we sort of just touched on, but maybe you could give us
a little more insight on like what the evolution you've seen.
I think we kind of just saw some of it,
but that they're really, it's sort of a, I don't know,
it's changed a lot in a very short period of time.
Yeah, even between now, like I think this was like a week ago
when we were talking about that.
um so the change we saw is more of these interview packs right
so instead of just coming to an answer
and i think previously the chat experience while
car shopping was back and forth with interviews
but it would be like one question like do you have a price range
or any features you're looking for
and you would answer that and it would kind
of move you through like a conversational type of
filtering experience and it's very good right
so i mean i bought my last car using ChatGPT and
And I did parallel research using, I was using Autolist,
my old site, and I narrowed it down
to the car I was going to buy.
And I was tracking price drops on it
because I buy used cars typically that are like a
few years out.
And, you know, I had a view of what I was going to buy
and I kind of gave ChatGPT the
same kind of guidelines and it ended up in the same place, right?
It recommended this car.
But it wasn't me going through 20 pages of search results, right?
It was three cars, right?
And this is a top one.
And this is like the backup and another one you might consider.
And really interesting stuff
is in the same sentence, it was recommending a car.
It was also telling me about the dealership.
So it's not just about like, this is the XC90 for you.
It was like, and this dealership has this buying model
and consumers have said this
about it online and things like that.
So super interesting behavior there once you get it narrowed down.
But it was a lot of back and forth questions to get there, right?
now it is you ask an open-ended question
and it's like check boxes right like it's like select radio
button one two three to narrow you down
and that's more i think in my earlier comment it's like more
guided by uh a human deciding what some
of those questions i think should be versus the ai just
predicting what the next text is going to be that's
a different experience right um it lends
itself to a more controlled answer right
so if you go from letting ai ask the questions and you
or however you want you can end up in different places versus
a hey if you want to really narrow
it down towards like hey we want to get
the finance buyers into a position where we know who
they are so we can give them the right product
and this is how lead gen used to work in automotive
so back in the day if you submitted a new lead on a new
car lead maybe like you know how are you
going to buy it like what's your trade
in because you really want to understand to match you with
the right buyer of that that lead
so it does seem like it has some of those attributes in it and
that's just me being a pessimist here right yeah yeah
no i think you're right that it looks like
it's uh yeah sort of there's a human intervention
of the the the llm isn't going to just naturally
send you down a buying funnel right like that's
that's not uh you know unless it's you know coded
one of its you know primary concerns is you know how to make money
which maybe it is coded in but
but ultimately like this that they've looked
at you know some some techniques and then integrated
those into it and it is still very helpful
but i do it's funny how the uh i like you there's
like the interview questions
and how adding all these features like you said it's almost
has transformed it into less of a conversational thing
and more of like a web browser thing like
it's it really is more like uh it's like
an interactive web browser versus you know just
the straight up lines of text going back
and forth definitely definitely very interesting and you know
hey more changes so just last week we started to see more of the AI
and this is like answering
things that it doesn't know right so it'll give you an answer
and then in the same sentence it'll
say but we're not sure about this right like this hasn't been verified
or you know we we don't know
that the dealership has this car right
so it's starting to hedge a little bit more about things
that previously it might just factually state like you know here's
this car it's at this dealership
lot it's like we can't verify that right
so there's there's something happening where they're
starting to look for more information,
look for more clarification about what the answer might
be and get the consumer to think more about it,
which I thought was actually very interesting in
the context of car shopping here.
And I think, you know, the AI can obviously like hallucinate
things. But now it seems to be more aware of that.
And certainly in the last six months,
it's doing a lot better job of fewer
and fewer hallucinations and using more sources to pull
information that's that's interesting and good uh
because i know you had uh um again in earlier
conversations mentioned about how
when uh on the show we had had on a guy from Consumer Reports
like four months ago who talked about four months is not that long
but in the world of LLMs things
move rapidly so and he was talking about like
like wild hallucinations about what they speak
sources for data for companies that didn't exist
or those companies were totally other companies
that were not related and now it sounds like we
might actually get some transparency and then you
know they'll i'm just gonna say i don't know this for sure
but you know or or again this has been
sourced by one website and uh you know 100 others
that should have this info don't so you might want
to look at this well it's been sourced by this website
but it's also that website is recommending
itself right so like these companies have put out like top 10 lists
and things like that and they're
on it so it's like some of these like i think the you know cat
and mouse game of SEO types of tricks
and games here right like you know that's maybe not playing out
or it's playing out faster when
the ai is staying a step ahead in a lot of cases
and um it's taking the consumer side yeah that's
like if i make my publish a list of the best podcasts
and i put myself as number one and
it's like okay and then and then you know google
or you know some LLM reads that and hallelujah
right that gets recommended
so exactly information showing up in different places like reddit and
other things like that it's you know it's hedging
a little bit um where do you see this going like
with this this sort of evolution of like we talked about buttons like
do you sort of have a prediction
or do you have like a uh an objective on your side
from from your business of like what you're
trying to sort of um you know what work
in this new world yeah i think i may connect in the two
things here between like the the consumer reports i think
a lot of that was saying hey like we think
that the data isn't as good as the consumer reports data right
and like there's and i guess
true right like uh the guy you had on he's
an expert in car buying like most people are not
expert in car buying and is ChatGPT as good
as a reporter from consumer reports probably not yet
right but but it's better than me
and like i'm pretty good right so like it's better than the
average person and it's better at getting lots
of examples across the web so i do think that
ChatGPT if not today is rapidly becoming the best place to go
and for a consumer to buy a car and
you know anecdotally we see this inside
of the dealers we work with today like all of them say
Like, you know, the consumers are underneath the desk,
not just researching online,
but in the showroom buying a car underneath the desk, you know,
running ChatGPT and asking about F&I, finance and insurance
and all those other things that are in the contract, which,
you know, so I think this is happening, this is here, right?
So, you know, I do think AI is becoming better at getting all
this information and really helping you think through it.
You know, where this is going, I think, and what we're building towards
is you start to think about agent to agent, right?
So it's not just you talking, chatting, asking a question to ChatGPT.
And again, like four months ago, this wasn't as real as it is today,
but you're using your Metamuse to kind of run your car life, right?
You've got all your cars loaded in there and knows
when you need an oil change. It knows when your lease is coming up
and it's going to proactively start helping you do these things, right?
So it can go and ping five local dealerships
to get an appointment for an oil change.
Oh, we know you have a 30,000 mile service coming up.
We can go and see what the next appointment is.
It can compare prices for you.
It can make the appointment and bring you
in to the place you should do it.
And I think service is one example where local dealers,
I think, can win more business by
getting consumers into their store
by offering them things digitally to an agent, right?
like you don't want you know 50 emails about why
an oil change is cheaper at your local Toyota
dealership than you know going to Jiffy Lube
um you might be a bit like maybe your agent will get
that and you know push an information to you
and um you'll you'll start going to your local
dealership instead of going to Jiffy Lube right
um you will be able to get your trade-in value
They will tell you hey like you know it's a good time
to go there's a special on a new lease your
lease is coming up they can get you
in faster now you don't really have to do as much research right
So I do think we're moving
to a world where we're going to use AI for research.
I think consumers are still, you know, $50,000 car these days.
I think that's the average now, a new car is something like $50,000.
That's a big expense.
And, you know, people are going to invest time in it,
but that time isn't going to be
as much spent on the minutia of calling 10 dealerships
and kind of doing the part you
don't like.
It's going to be doing the part you like,
and you're still going to test drive the car.
I think you're still going to want to go in person,
and there's enough complication in most of these transactions
that it does make sense for a fair bit of it to happen in person.
But a lot of the research,
a lot of the digging in and building confidence, right?
Like a consumer today can get
in a much more confident position going into a dealership,
and you're going to have a better time when you have more confidence.
And I think it's going to change how dealers operate too, right?
I think more and more dealers are using AI on their side.
more and more dealers are shifting
to models where you know it's easier to transact over AI and more
transparently and i still get calls from friends
that are dealership hey this person doesn't
negotiate they're telling me they don't negotiate
is that real yeah it's real like there's a line
like where are you at let me double check
but like that's real right like and more and more
dealerships are trying to operate in a way just like i want
to give a good experience not get like the
last two dollars and i think consumers you know appreciate
that as well um so i'm excited about
where the future is going here with automotive
and i think that ai creates a lot of opportunity
to get uh and really improve the experience
for consumers by bringing the dealers into into the
equation much much much earlier
and um with not just information but tools that help them
communicate together right yeah
so do you like just to kind of maybe even go back like what is
like the the main you know for CarGeniuses like what
is your main way of working with dealers now
is it is it providing data
or are you providing tools oh great question so um what we do is we
create alternative infrastructure for a dealer
that helps an agent interact with them so consumers go
to your website and they look at html
and they click on web forms ai today actually does the
same thing yeah you know some browser goes
to the website pulls down html clicks around gets blocked
I mean, oftentimes, AI agents are getting blocked by these website
providers, Amazon down to small vendors are blocking AI agents.
So what we do is we provide a layer that sits
on the dealership's domain, and it provides the same tools.
You can search for cars, you can get details about a car,
you can get a CARFAX report,
you can schedule an appointment to come in and do a test drive,
you can schedule your service appointments, all programmatically.
So in a language the AI speaks,
so it's kind of built on the same underlying technology.
that all these ai engines use to build agentic commerce
that is fascinating that's very because
it's uh you know you hear lately I saw you know reports
the other day about how 50 percent of the internet
is bots now which is uh i always hesitate like people i think get
the wrong idea just because
it's 50 percent bot doesn't mean not all the bots
are bad right like there are a lot of bad bots but there
are like you said if you're using your like you said
your metamuse to go in and do something and
it's getting blocked because that that site
is just like well look you know no no russian troll
farms thanks and then all of a sudden you know it's like well yeah
that's not what i am but but they
they may just have a very simplistic bit of code
that's blocking people so if you can actually
interact um more directly that'd be uh i could see
that as you know i'm sure you've got a good
thing going so well hopefully and i think there's more
and more people just blocking ai bots too
like they don't want an ai on their site
and you know i think that actually makes a lot of sense
for consumer reports right if you're
a consumer reports you don't want bots coming and stealing
your value right and then giving it away for free
but a car dealer or anyone selling anything i
really think should be as open as possible
because you want the bots in because it's not a bot that's
a bot working on behalf of the people right
and it's moving towards the transaction so i think
this new way of of agentic shopping
or bots using the internet is actually going to be really good
for people selling things
because they're going to want to get
their information out there
as much as possible.
Yeah, I could think of those mom and pop shops
that sell a thousand things on eBay or something.
If you could just have your own agent
handling, you come home
and then it's like,
oh, these 45 things you had listed were sold.
All you have to do is then manually go
and put them in a box
and send them out the door.
That could get pretty lucrative pretty quickly.
A lot of interesting things, yeah.
Yeah, cool.
Well, I noticed just one other thing from your site
that I thought was interesting was the dealer AI visibility page.
And I'll give you a chance to promo your site all you want.
But I really feel like, to me,
that was something really cool that just, and correct me if I'm wrong,
but it sounds like it was a web page that they would list.
look in any geo in any city um these are the top recommended dealers
by LLMs in your area which I
feel like if if I was a dealership owner I would
be on that page right now, that is the point
right so we we do this in depth for the dealers we work
with so our customers we actually create
multi-page reports that look across all
the large language models about how their dealership shows
up and we kind of segmented on this find buy
and service kind of structure and it means like you
know what does the LLM think about
your reputation can it find your actual
inventory and does it source your store
as the source of that and then what does it think about
your service shop and those can be all different things
so it's like important to think about all
of them together um so we kind of do that like
these really detailed reports with actual
of information of how a dealership should improve
their positioning there um a lot of it is just
like provide better services
and help make sure your experiences online are consistent with what
happens in the store your reviews and things like that um but we
then started kind of doing taking
the same kind of approach and structure
and doing it across everywhere in the country just understand
like okay like are there big trends
and who's showing up where and why um so there's a lot of
interesting things we can find there
and certainly dealers love to look at that and i think it is a
way for us to um start to understand more what's going
on in the industry so we the reason we do
it and we kind of publish it for for free
for anyone to come in and read this is because we
are trying to understand just like
that article you stumbled upon that i posted like what's going
on right like and we are just intellectually very interested
in how this is evolving and this just
gives us a great way to break it down understand it
and make sure we are kind of in this with our
dealers to to understand
and kind of be ahead of the game awesome thanks so uh anything else
anything else cool about uh car genius you wanted us to mention
or or anything that we missed like
in this topic in general if there's anything like
you know great thoughts about you know your wild
prediction about the future or or advice for people
who are car shopping i don't know yeah
no i mean i mean i think use large language models if you're
car shopping it you know you have like
year or now your uncle who is an expert
in car shopping who can help you along the way
use it
and kind of make sure
you know it's giving you the right answer but like get
in deep with it right like make sure it interviews you too
like if it gives a quick answer you can kind of push around and say
hey like dig in deeper on this stuff
you know for
for dealers you know and anybody
on the web I think there's some interesting things that
start to happen around
you know what is the general user experience
of the web become when consumers get
used to you know work
working with AI instead of working with, you know,
a traditional website, right? You go to a website
and it's like homepage, click around buttons,
you have a search result, you kind of get what you
want, and everyone has the same experience.
And one of the interesting things that is related to
what we're seeing with ChatGPT with these interview packs
and things like that is it's starting to do
dynamic UI. So every single answer
and user experience is custom to what you're asking it
to do so it's building html elements on the fly
and inserting them into their chat and i think
like that starts to get me thinking as a consumer
as a user about you know the future of the web and
you know certainly i'll be using ChatGPT for more stuff
but when i use the web i'm going to be
interested to see the web changing to give me results
that are based on what i'm looking for
not forcing me into your conversion funnel right
so like that's another area we're spending a good
been a time of thinking about and how that impacts
car dealers but i think it has it impacts the
entire internet and um you know everything you
do online awesome um that's very cool thank you
again so much for your time i really appreciate this is uh
and i think it's insightful and then
hopefully we'll we'll have you on again
in the future to see where where the the dealership
world is headed i'd love to join you again
and it's really fun to chat as well thank you so much
Great, thanks Cory. So there you have it, another fascinating conversation
with an interesting
guest, um not one i really thought i was going
to be diving into but it just i don't know it came up
the joys of your LinkedIn feed i guess uh it's
not all uh AI written promotions about you know
how i was pleased to speak at some conference last week
or something so um i i think that was
interesting you know uh Cory certainly isn't going
as far as accusing anyone but he's just pointing
out some facts about you know what you should keep in mind
when you're looking at uh this and
and maybe you know to a certain extent you know follow
the money right where the money goes
probably gives you a good idea of what's what's happening
um and and what's being presented to
you so uh and i think we will see some pretty amazing developments
in uh car shopping through
LLMs in the near future uh thanks for listening watching
as always uh i always say please you
know give us a uh you know review uh Spotify Apple Podcasts uh
or you know YouTube like subscribe
share it uh put this on LinkedIn as well as i mentioned them
so uh thanks uh take care we'll
talk soon

