ChatGPT Ads Are Open to Every U.S. Business - What It Means for You

OpenAI just opened self-serve advertising to every U.S. business with zero minimum spend. No agency needed. No massive budget required. Just you, your business, and a brand-new way to reach customers at the exact moment they're asking AI for help.

In this episode, we break down:

- How ChatGPT Ads actually work (it's nothing like Google or Facebook)
- Why ads inside AI conversations have the highest intent of any platform
- The $100 million in 6 weeks stat that proves this isn't hype
- The first-mover window that's open RIGHT NOW for local businesses
- A simple 4-week testing framework you can start with $15/day
- The honest risks and unknowns you need to watch for

If you run a local service business - plumber, dentist, roofer, lawyer, HVAC - this might be the biggest new advertising opportunity since Facebook Ads went mainstream.

📖 Full article with all the details: https://go.speedmobi.com/chatgpt-ads-small

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Transcript

SPEAKER_00 0:00

$100 million in just six weeks.

SPEAKER_01 0:03

Yeah, it's a staggering number.

SPEAKER_00 0:05

It really is. I mean, trying to wrap your head around that statistic right out of the gate is tough, but that is the annualized ad revenue generated by our topic today.

SPEAKER_01 0:13

And it's just the beginning.

SPEAKER_00 0:15

Right. We are looking at a well a seismic shift in the digital landscape here. Because OpenAI has officially opened its self-serve ads manager to every single U.S. business.

SPEAKER_01 0:27

Yeah.

SPEAKER_00 0:28

And the kicker is they have done it with zero minimum spend requirements.

SPEAKER_01 0:32

Aaron Powell, which is a massive moment for digital marketing. I mean, we aren't looking at some small invite-only beta test reserved for Fortune 500 companies anymore.

SPEAKER_00 0:40

No, it's wide open.

SPEAKER_01 0:40

Aaron Powell Exactly. The productions for this rollout actually have open AI hitting $2.5 billion in ad revenue by 2026. Aaron Powell. Right. They are taking hundreds of millions of global monthly active users and finally, you know, turning that massive attention into a commercial engine. This is a fundamental change to the entire digital ecosystem.

SPEAKER_00 1:01

Aaron Powell And our mission for this deep dive is to help you understand the actual mechanics of how this works. Because this is arguably the biggest new advertising channel to emerge since, I don't know, since TikTok went mainstream a few years ago.

SPEAKER_01 1:14

Oh, easily.

SPEAKER_00 1:15

Yeah. We really want to explore how Chat GPT ads might completely alter how businesses from massive national brands to like local plumber down the street actually reach consumers.

SPEAKER_01 1:29

It levels the playing field in a really unique way.

SPEAKER_00 1:31

It does. But before we get into the heavy strategy, okay, let's unpack this. What does this actually look like to the person sitting at their computer or looking at their phone? Right.

SPEAKER_01 1:40

The user experience.

SPEAKER_00 1:41

Exactly. If you are the end user asking a question, how are these ads presenting themselves? Because I think people hear ads and they panic.

SPEAKER_01 1:48

Oh, totally. They think of the old internet. But it's a very deliberate design choice here, actively avoiding the traps of older platforms.

SPEAKER_00 1:55

So no flashing banners.

SPEAKER_01 1:56

Right. No pop-ups, uh, no autoplaying videos screaming at you, and no banner ads that distract from that clean interface we're all used to. Thank goodness. Yeah. When you ask ChatGPT a question, the AI generates its answer just like you are used to. Then, right below that AI-generated response, the ad appears.

SPEAKER_00 2:16

Okay, so it's tucked away at the bottom.

SPEAKER_01 2:18

Exactly. It is housed in a clearly distinguished tinted box, and it carries a very explicit sponsored label.

SPEAKER_00 2:25

So you can't miss that it's an ad.

SPEAKER_01 2:28

You can't miss it. The guiding philosophy here is that the ad must augment the conversation, not interrupt it. You know, you get your objective answer first, and then you are presented with relevant sponsored content right beneath it as a potential next step.

SPEAKER_00 2:41

I see. But if the ads are integrated seamlessly into the natural flow of a chat like that, they can't possibly be relying on the old rules of the internet.

SPEAKER_01 2:49

No, the old rules don't apply here at all.

SPEAKER_00 2:51

Right, because they can't just be waiting for me to type a clunky phrase like, uh plumber near me.

SPEAKER_01 2:55

Yeah.

SPEAKER_00 2:56

How does the system actually parse what I'm looking for to decide which ad to show?

SPEAKER_01 3:00

Well, that is the core technological leap we're seeing here. We are witnessing the transition from what marketers call keyword bidding to contextual matching.

SPEAKER_00 3:09

Contextual matching.

SPEAKER_01 3:10

Yeah. For the last two decades, the Google Ads model has been the gold standard, right? And that entire empire is built on keywords. A business bids on a specific, rigid phrase.

SPEAKER_00 3:22

Like best running shoes.

SPEAKER_01 3:24

Exactly. But large language models don't work like a traditional search index. The AI doesn't just scan your prompt for a trigger word, it reads the full, nuanced context of the ongoing conversation.

SPEAKER_00 3:36

How does it do that?

SPEAKER_01 3:37

By mapping the semantic relationships between all the words you were using in that session.

SPEAKER_00 3:42

So it's analyzing the underlying meaning rather than just like matching a string of text.

SPEAKER_01 3:47

Aaron Powell It goes much further than that, actually. It looks at the totality of the chat to determine urgency, tone, and intent.

SPEAKER_00 3:53

Okay. Give me an example.

SPEAKER_01 3:54

Sure. It can tell the difference between a high school student broadly discussing the history of indoor plumbing for a research paper, right?

SPEAKER_00 4:00

Right. Zero commercial intent there.

SPEAKER_01 4:02

Exactly. Versus a homeowner casually comparing the aesthetic styles of modern bathroom fixtures.

SPEAKER_00 4:07

Aaron Powell Still pretty low intent. Maybe just window shopping.

SPEAKER_01 4:10

Yeah, exactly. But then compare that to someone frantically typing in all caps about emergency pipe repair costs because their basement is currently flooding.

SPEAKER_00 4:19

Oh wow. Yeah. That's a massive difference.

SPEAKER_01 4:21

Aaron Powell The AI understands the layered intent behind those words. This means advertisers don't have to sit there and try to guess every possible keyword variation or misspelling someone might type into a search bar.

SPEAKER_00 4:34

I really want to visualize this for a second. It's like the difference between someone walking into a crowded room and just shouting their business name, hoping someone in the crowd happens to need them at that exact second.

SPEAKER_01 4:45

Yes, that's traditional keyword search in a nutshell.

SPEAKER_00 4:48

Right. But this new model, it's like a highly observant concierge.

SPEAKER_01 4:52

I like that.

SPEAKER_00 4:53

And not just a concierge handing out a business card randomly, but a concierge who listened to the tone of your voice, noticed you were soaking wet, deduced that you need an emergency plumber immediately, and hands you the solution instead of handing you like a textbook on how pipes work.

SPEAKER_01 5:10

That paints the picture perfectly. The concierge understands the multifaceted context of the guest's problem, you know, and it provides the exact right solution at the exact right time without needing the guest to explicitly shout, I need a plumber.

SPEAKER_00 5:25

But let's look at the competitive reality of that. Uh-huh. If this AI is so sophisticated at mapping context and handing out the perfect solution, how does a small local shop avoid getting absolutely crushed?

SPEAKER_01 5:39

It's a valid concern.

SPEAKER_00 5:41

Right. I mean, if I run a single location dental practice, how am I supposed to compete in this contextual system against a massive national dental chain with a multi-million dollar marketing budget? Doesn't the big guy just buy up all the context?

SPEAKER_01 5:53

Well, what's fascinating here is that the barrier to entry is actually incredibly low, specifically because of how the bidding model interacts with local context. Wow, so it runs on a standard cost per click model. You only pay when a user actually clicks on your ad. And crucially, like we mentioned earlier, OpenAI has instituted zero minimum spend requirements.

SPEAKER_00 6:13

So I don't need a huge budget to even play the game.

SPEAKER_01 6:15

Not at all. So that local dentist can set a maximum cost they're willing to pay per click, and they can test the waters with a budget of just, say, $10 a day.

SPEAKER_00 6:25

Just $10.

SPEAKER_01 6:27

Yeah. They have the exact same access to the ads manager as the national brand spending $10,000 a day.

SPEAKER_00 6:32

But how do their ads actually get shown over the big brand's ads?

SPEAKER_01 6:36

Because the system optimizes delivery based on the hyper-local context of the user's location and the specific nuances of their conversation. Relevance wins out over raw budget here.

SPEAKER_00 6:47

Uh you see.

SPEAKER_01 6:48

A national chain can't just blanket the entire country's dental queries if a local dentist offers a more contextually accurate solution for a user in a specific zip code.

SPEAKER_00 6:57

That makes total sense. And the AI understanding tone, urgency, and hyper-local need, uh, that must completely change the quality of the audience and advertisers reaching.

SPEAKER_01 7:07

Oh, absolutely.

SPEAKER_00 7:08

Moving from a user just idly browsing to a user who is deeply engaged in solving a problem.

SPEAKER_01 7:12

We are talking about a massive upgrade in what marketers call intent quality.

SPEAKER_00 7:17

Intent quality.

SPEAKER_01 7:18

Yeah. When we discuss contextual matching, we are really discussing the capture of high intent. Let's do a quick side-by-side comparison of the major ad platforms we interact with daily to see why this is so disruptive.

SPEAKER_00 7:31

Okay, let's do it.

SPEAKER_01 7:32

Think about the psychology of her mindset when you open Facebook or Instagram.

SPEAKER_00 7:37

I mean, I am usually just scrolling. I want to be entertained or I want to see what my friends are up to. I'm definitely not looking to buy a new HVAC system.

SPEAKER_01 7:45

Exactly. You are in a highly passive state. An ad on those platforms has to aggressively interrupt your flow to get your attention.

SPEAKER_00 7:53

Right, to snap me out of the scroll.

SPEAKER_01 7:54

Yes. It's low intent from the user side. The platform offers massive volume, of course, but the advertiser's job is to magically create demand out of thin air.

SPEAKER_00 8:04

That sounds exhausting for the advertiser. It is.

SPEAKER_01 8:06

Now compare that passive state to Google search. Your intent there is much higher. You actively typed a query into a box because you want an answer. We call that medium to high intent.

SPEAKER_00 8:16

The frustration with Google, though, is the clutter. You type your question, and you are immediately hit with four or more sponsored ads, followed by a map pack, a video carousel, and then maybe 10 organic links.

SPEAKER_01 8:30

It's overwhelming.

SPEAKER_00 8:31

It feels like Google just hands you a list of chores. You asked a question, and it responded with 20 links you now have to read through to solve your own problem.

SPEAKER_01 8:40

That list of chores analogy hits the nail on the head. The cognitive load on the user is really high, and the competition for your attention among all those advertisers is fierce.

SPEAKER_00 8:49

Yeah, it's a bloodbath on page one.

SPEAKER_01 8:51

Which brings us to the paradigm shift of Chat GPT. This environment represents potentially the highest intent quality of any ad platform available today. Really?

SPEAKER_00 9:01

The highest.

SPEAKER_01 9:02

Think about it. When you use an AI chat, you aren't just typing a fragmented search term, you are having a focused, evolving conversation. You are asking detailed questions and receiving synthesized, personalized answers.

SPEAKER_00 9:14

You're really leaning in.

SPEAKER_01 9:16

Exactly. You are in an active decision-making mode. And because there is no clutter, just the AI solving your problem and one relevant sponsored box below it, your focus is entirely on that single solution.

SPEAKER_00 9:28

Wow.

SPEAKER_01 9:29

The AI does the chore of researching. The ad just provides the final piece of the puzzle.

SPEAKER_00 9:34

Here's where it gets really interesting. Um, there is a fantastic real-world example of this high-intent placement playing out from the sources.

SPEAKER_01 9:43

Let's hear it.

SPEAKER_00 9:44

Imagine a homeowner who goes to ChatGPT and types, I have a leak under my kitchen sink. Should I try to fix it myself or hire a plumber?

SPEAKER_01 9:52

That is a highly specific, high anxiety question.

SPEAKER_00 9:55

Exactly. The AI does its thing, it gives a reasoned answer, maybe listing some basic troubleshooting steps, pointing out the tools needed, but ultimately advising that if they don't know what they're doing, the risk of water damage means they should call a professional.

SPEAKER_01 10:09

Right, classic AI advice.

SPEAKER_00 10:11

And then, right below that incredibly personalized advice, in that tinted box, is an ad from a local plumber. The copy reads licensed plumber serving your area, same-day emergency repairs.

SPEAKER_01 10:22

That is brilliant.

SPEAKER_00 10:23

It's not just an ad, it's the exact solution to the problem the user is actively stressing about.

SPEAKER_01 10:28

It is the ultimate evolution of right place, right time. You aren't wasting money trying to convince them they need a plumber. The AI just did that heavy lifting for you. Right. You are simply raising your hand at the exact moment they realize they need help to say, hey, I am the professional you are looking for.

SPEAKER_00 10:46

But wait, I have to stop right there.

SPEAKER_01 10:47

Okay.

SPEAKER_00 10:48

If the system is reading my specific, highly anxious chat about a flooded basement and matching it to a local business, isn't that a massive privacy violation?

SPEAKER_01 10:57

Aaron Powell I knew we'd get to this.

SPEAKER_00 10:59

People are going to be furious if they think OpenAI is reading their private chats, building a psychological profile on their home repairs, and like selling that identity to advertisers.

SPEAKER_01 11:10

It is a very natural concern, and honestly, it's one the platform has addressed aggressively.

SPEAKER_00 11:14

Because it sounds creepy on the surface.

SPEAKER_01 11:16

The core mechanism here is that these ads are contextually matched to the current topic of the active conversation window. They are not based on your personal data or a historical profile of your identity.

SPEAKER_00 11:27

Okay, so it's just the current Right.

SPEAKER_01 11:29

The system temporarily analyzes the words in the active chat to understand the immediate context, but it is not pulling your user history, your demographics, or building a permanent psychological profile to target you across the rest of the web.

SPEAKER_00 11:44

So it is analyzing the text of the current chat session, not the human being sitting behind the keyboard.

SPEAKER_01 11:49

Precisely that. And if we zoom out to look at the broader marketing landscape, this strict reliance on temporary contextual matching rather than permanent personal data tracking, it's actually a massive windfall for a specific group of advertisers. Consider highly regulated industries, uh, healthcare, legal services, finance. Their targeting options on platforms like Facebook have been heavily restricted in recent years due to privacy laws and anti-discrimination regulations. Exactly. But with ChatGPT, because the targeting is based purely on the topic being discussed in that moment and not the user's personal identity, those regulated businesses have a powerful new avenue.

SPEAKER_00 12:32

That makes sense.

SPEAKER_01 12:33

They can reach people who are actively researching medical symptoms or legal advice without violating any privacy compliance standards.

SPEAKER_00 12:40

That is wild. But okay, if the intent quality is truly this high and the privacy concerns are neatly sidestepped by the mechanics of contextual matching, why isn't every business in America yanking their budgets from Google and pouring every dollar into this platform right now?

SPEAKER_01 12:59

Because the broader market is always slow to adapt to foundational changes. We are currently sitting in a very unique and very fleeting window of opportunity.

SPEAKER_00 13:09

The classic early adopter phase.

SPEAKER_01 13:10

Exactly. This entire situation is a textbook example of the first mover advantage. If you look at the historical pattern of every major new ad platform, you see the exact same cycle play out, rewarding the businesses that take the early leap.

SPEAKER_00 13:24

Give us the history lesson. Paint a picture of what those early days look like.

SPEAKER_01 13:27

Let's go back to the year 2000. Google ads launches. The early advertisers who understood the shift were buying clicks for literal pennies.

SPEAKER_00 13:35

Literal pennies.

SPEAKER_01 13:36

It was the Wild West, and the return on investment was astronomical. Today, the average host per click on Google is anywhere from two to five dollars. And in highly competitive industries like personal injury law or insurance, a single click can cost $50 to $100. Ouch. Right. Then look at Facebook ads between, say, 2007 and 2012. Early adopters built massive, highly engaged audiences for practically nothing. Today, the cost to reach a thousand people, the CPM metric, is easily ten to thirty dollars for competitive audiences.

SPEAKER_00 14:07

It always goes up.

SPEAKER_01 14:07

Always. We saw the exact same curve with TikTok between 2020 and 2022. First movers were getting CPMs under $3. Now it has normalized into double digits.

SPEAKER_00 14:18

Aaron Powell The implication being that right now, in this moment, ChatGPT ads are essentially Google ads in the year 2002.

SPEAKER_01 14:24

That is the exact parallel. We are at the very bottom of the adoption curve. There is incredibly low competition because most businesses haven't updated their playbooks yet, which means there are exceptionally low costs per click. And meanwhile, the platform itself is actively growing its user base by millions every single month. But that window for cheap clicks never stays open. As more advertisers inevitably flood the system, the bidding wars begin and the costs skyrocket.

SPEAKER_00 14:51

I hear the historical argument, I really do, but I also think we need a reality check. Fair enough. Are we just throwing money at a beta product because of historical FOMO? It's easy to look back at Google in 2002 and kick ourselves for not buying ads, but what are the actual downsides of jumping into an untested AI platform today? I mean, it can't all be upside.

SPEAKER_01 15:11

This raises an important question because diving in blindly is a recipe for wasted capital. There are absolutely unknowns and operational risks here.

SPEAKER_00 15:19

Let's hear them.

SPEAKER_01 15:19

First and foremost is ROI uncertainty. With Google Ads, you can pull up decades of historical benchmarks for your specific industry. A plumber knows exactly what a good conversion rate looks like for a search ad.

SPEAKER_00 15:30

The data is all there.

SPEAKER_01 15:31

Right. With conversational AI ads, there are zero historical benchmarks. We are flying completely blind. We don't know yet how often a conversational ad click actually turns into a paying customer compared to a traditional search ad click.

SPEAKER_00 15:46

So to get that data, you basically have to be willing to buy it yourself through trial and error.

SPEAKER_01 15:51

You have to budget conservatively until you build your own internal benchmarks. The second major risk is the immaturity of the platform itself. This is a brand new system. You should expect bugs. Naturally. You should expect the ads manager dashboard to be bare bones. It will show you basic metrics like impressions, clicks, click-through rates, and your total spend, but it lacks the deeply sophisticated analytics of a mature platform like Google or Meta.

SPEAKER_00 16:17

So it's pretty stripped down right now.

SPEAKER_01 16:19

Very. And frankly, you must expect the contextual matching to be imperfect early on.

SPEAKER_00 16:23

Oh, like getting confused.

SPEAKER_01 16:24

Yeah, you will see irrelevant impressions where the AI hallucinates or misunderstands the nuance of a chat and displays your ad when it shouldn't. It requires close monitoring.

SPEAKER_00 16:33

If a local business is listening to this and thinking, well, I don't have the budget to be open AI as guinea pig, we need to fence in that risk. We need a concrete, highly managed way to actually test this out without them losing their shirt.

SPEAKER_01 16:46

The best approach is a very practical three-month testing framework. It is specifically designed to control costs while gathering enough data to make an informed decision on whether the platform works for a specific business.

SPEAKER_00 17:00

Okay, let's break that framework down. And I know the absolute biggest risk isn't even the AI itself. It's a small business blowing their budget on a national audience. So what does this all mean for geographic targeting?

SPEAKER_01 17:12

It is the single most critical step for any local service business. You must explicitly set your geographic targeting to your specific service area on day one.

SPEAKER_00 17:21

Do not skip this step.

SPEAKER_01 17:23

Exactly. A roofing company in Atlanta does not want to pay for clicks from a user asking about roof repair techniques in Seattle.

SPEAKER_00 17:30

Obviously not.

SPEAKER_01 17:30

If you fail to lock down your geography, the platform will happily drain your daily budget in minutes on a national audience that can never actually hire you.

SPEAKER_00 17:38

Assuming the geographic fence is built tight, walk us through the psychology of the first month.

SPEAKER_01 17:43

The first two weeks are purely about controlled setup. You create the account and you set up your conversion tracking. Because we are flying blind without benchmarks, you have to track every single click.

SPEAKER_00 17:54

How do you do that without the fancy Google dashboards?

SPEAKER_01 17:57

You do this by adding UTM parameters, which are just little tags added to the end of your website link. Okay. These tags act like digital breadcrumbs, telling your website analytics exactly which visitors came from the ChatGVT ads, so you know if the AI is actually bringing you buyers. That's smart. Yeah. Then you create two or three different ad variations, but you heavily restrict your focus. You only advertise your single highest revenue service. Right. And you set a very conservative budget around $15 to $25 a day. That is enough to buy meaningful data without risking your core marketing budget.

SPEAKER_00 18:32

Aaron Powell So that's the first two weeks. In weeks three and four, the mindset shifts from setup to actual learning.

SPEAKER_01 18:39

Aaron Powell You open up that basic dashboard and you review the query data. You want to see the actual conversational topics that triggered your ads to appear.

SPEAKER_00 18:47

Aaron Powell To see if the AI actually understood the context.

SPEAKER_01 18:50

Exactly. You compare your click-through rate to whatever baseline metrics you have from your existing Google ads. You see which of your ad variations is getting attention. But the ultimate metric is lead quality.

SPEAKER_00 19:03

Are they actually buying?

SPEAKER_01 19:04

Yes. Are the people clicking through actually calling your business? Are they real viable potential customers?

SPEAKER_00 19:11

By month two, you have enough digital breadcrumbs to start pulling some levers.

SPEAKER_01 19:15

Month two is the optimization phase. You take the data from month one and you double down on the specific conversation topics that actually convert it into real-world leads.

SPEAKER_00 19:25

You lean into what's working.

SPEAKER_01 19:27

Exactly. You tweak your ad copy based on what phrasing worked best. If the results are incredibly strong, you might cautiously expand from that one high revenue service to a second service category.

SPEAKER_00 19:38

Okay, growing it slowly.

SPEAKER_01 19:40

And this is also when you start doing the hard math, comparing your cost per lead on this new platform against your traditional channels.

SPEAKER_00 19:46

Bringing us to month three, which is, well, the ruthless moment of truth. You either scale or you pivot.

SPEAKER_01 19:53

It is pure decision time. If your cost per lead on Chat GPT is competitive with or cheaper than your Google or Facebook campaigns, that is the signal to increase the budget and scale it up. You have found a profitable new vein.

SPEAKER_00 20:08

But what if it's not?

SPEAKER_01 20:09

If the cost per lead is too high, you either need to ruthlessly refine your targeting to weed out the bad clicks, or you simply pause the campaign and walk away. It's a structured, emotionally detached way to test a beta platform.

SPEAKER_00 20:22

And the hidden advantage here, especially for local businesses operating in month three, is what their competition is doing.

SPEAKER_01 20:28

Or not doing.

SPEAKER_00 20:29

Right.

SPEAKER_01 20:29

Yeah.

SPEAKER_00 20:30

Because most local competitors are completely unaware that ChatGPT ads even exist yet. They are still brawling over the same expensive keywords on Google search.

SPEAKER_01 20:39

That represents the true power of claiming your territory early. By jumping into these service category conversations right now, you are gathering early performance data while it's cheap.

SPEAKER_00 20:48

Building a moat?

SPEAKER_01 20:49

Exactly. When the platform inevitably matures and the rest of the local market finally realizes they need to be there, you will already have a massive optimization advantage. You will know exactly which conversational topics convert and which ad copy resonates while they're just starting from scratch at a much higher cost per click.

SPEAKER_00 21:08

If we zoom out and look at the bigger picture of what this launch represents, I mean, we are really witnessing the active fragmentation of the traditional Google search monopoly.

SPEAKER_01 21:18

We really are.

SPEAKER_00 21:19

For decades, if you needed an answer or a service, you just Googled it. There was one dominant behavior. But now, with AI overviews actively reducing the number of times people click on organic search results and chatbots becoming the go-to research tool for millions of people, the paradigm is fracturing.

SPEAKER_01 21:36

The whole ecosystem is shifting.

SPEAKER_00 21:38

Advertising is simply doing what it has always done, right? It is following the user's attention to the exact place where they are actually making their purchasing decisions.

SPEAKER_01 21:48

And the smartest businesses, you know, the ones that survive these massive technological shifts, they aren't looking at this as a zero-sum game.

SPEAKER_00 21:56

They aren't picking sides.

SPEAKER_01 21:57

Right. They aren't trying to choose between Google or Facebook or ChatGPT. They are building a presence across all of these channels, ensuring they are visible and helpful wherever their customer is happy to be active.

SPEAKER_00 22:10

That's the real takeaway.

SPEAKER_01 22:11

And with OpenAI projecting $2.5 billion in ad revenue, they are sending a very clear signal to the market that they are investing heavily in this platform's long-term development. This isn't an experimental side project anymore. It is rapidly becoming a core revenue stream for one of the most valuable companies on the planet.

SPEAKER_00 22:30

It is the new frontier and the land grab is happening right now while the clicks are still cheap. But we're going to leave you with a thought to chew on as we wrap up this deep dive. Right now, as we've discussed, Chat GPT ads appear beneath the AI's advice, hoping that you, the user, will read the answer, click the sponsored link, and hire that local plumber yourself. Right. But think about the trajectory of this technology. As AI evolves from just answering our questions to actually taking actions on our behalf, like, say, an AI agent that automatically texts and books the plumber for you the moment you tell it your sink is leaking. What happens to the advertising model then?

SPEAKER_01 23:07

That changes everything.

SPEAKER_00 23:08

Will local businesses eventually stop trying to advertise to you entirely and instead have to figure out how to advertise directly to your AI assistant? Something to think about the next time you ask a chatbot for a recommendation.