Home AI AdMarketplace Is Piloting Performance Ads In AI Chat

AdMarketplace Is Piloting Performance Ads In AI Chat

SHARE:
AI product suggestion, Artificial intelligence recommending products to ecommerce customers. AI driven eCommerce platform - vector illustration with icons

AI chat is starting to look more and more like a media channel, which means someone’s gotta figure out the ad model.

Although chatbot conversations are loaded with commercial intent – ChatGPT knows it – there’s still no clear playbook for monetizing those interactions without messing with the user experience.

Search advertising specialist adMarketplace is one of the companies experimenting with what performance advertising could look like in that environment.

On Tuesday, adMarketplace announced the beta launch of AI Discover, its ad product for inserting sponsored placements into AI chat experiences, an expansion of a six-month alpha program with Aria, the Opera browser’s native AI assistant.

During the alpha, adMarketplace ran more than 2 million sponsored placements across roughly 700,00 AI queries, giving it an early look at how often people’s chats contain something that can be turned into an ad opportunity.

“The majority of what we’re seeing falls into some form of a discovery category where a consumer is trying to learn something, to figure something out,” said Sam Cox, adMarketplace’s chief product officer. “It’s a treasure trove of information.”

Search now, buy now

That early run convinced adMarketplace that people are willing to shop within AI chats.

The beta is about seeing how that behavior plays out on other AI surfaces, including Dupe, an AI search engine for affordable product lookalikes, and buy-now, pay-later platform Sezzle, which is building a chat experience of its own.

Under the hood, AI Discover runs on two adMarketplace systems. One is called Commercial Intent Vector, which scans a chat for commercially relevant topics like products, brands and categories and turns them into ad targeting signals. The other is Arena, an ad-decisioning engine that takes those signals and decides which sponsored placements to show.

Arena matches the commercial intent output against an index of more than 200 million product ads and ranks potential sponsored placements based on relevance.

But from a user’s point of view, the ad experience just looks like extra options inside the chat. Ads can show up as text-link ads, hover-over ads or sponsored results that sit alongside or just below the model’s answer.

During the alpha, a typical conversation surfaced roughly three possible sponsored placements per consumer interaction. In some cases, though, a single answer would surface dozens of monetizable opportunities.

“We’ve seen up to 50 ad slots come back,” Cox said. “In the old world, if you weren’t in the top three ad slots, you were toast, and if you weren’t above the fold, you weren’t getting a click, but we’re starting to see different behavior from within LLMs.”

From query to cart

Cox knows of what he speaks from firsthand experience.

One of his hobbies is fixing old cars, and he recently used AI search to figure out which components he’d need to keep one of them running.

“It gave me a list of four and I clicked on all four and bought all four,” Cox said. “Then I asked what else was going to go wrong next and it gave me 10 more parts – and I literally bought all 10.”

Rather than bouncing between multiple forums, search results, tabs and ecommerce sites, Cox made 14 purchases during the space of a single conversational thread. “We’re seeing a compression of the funnel,” he said, “and that’s a huge change in user behavior.”

But Cox is adamant that the ad stack doesn’t influence a model’s results. If people are going to trust AI enough to shop inside of chat, he said, the answers and recommendations they see can’t be influenced by ad dollars.

That’s why adMarketplace doesn’t receive full prompts from its LLM partners and stresses that its commercial intent tech runs inside of a partner’s environment, not on its own servers.

“People believe this to be a private experience and that’s an important thing for user trust,” Cox said. “Consumers don’t want the ad model impacting the reasoning model.”

Clicking into place

But building consumer trust is only one part of the puzzle. The other question is how to charge for AI search ads.

All of adMarketplace’s AI Discover inventory runs on a cost-per-click model, not on impression-based pricing. Advertisers only pay when someone clicks from a chat to their site, which makes sense for a new channel where a single answer can surface multiple relevant options in short order, Cox said.

“A CPC model is good for advertisers,” he said, “because they’re not paying $60 or $100 CPMs just for exposure without any relevance to what’s in the actual chat.”

The AI Discover beta will run from June through December in the US, UK, Germany and France with roughly 10 advertisers and five LLM partners, including Opera AI, Dupe and Sezzle. Cox declined to share whether adMarketplace is having conversations with any of the biggies, such as OpenAI.

But, hey, it’s still early days. For now, AI Discover is less a finished product than an ongoing experiment in how people actually use AI search and how their habits are shifting.

“We’re in a process of discovery here as well,” Cox said.

Must Read

T-Mobile Brings Its Mobile Data Exclusively To Vistar To Scale Up DOOH Targeting

Advertisers can now use Vistar to activate both off-the-shelf and custom audiences built on T-Mobile’s first-party location and app data.

Apple Has Far-Reaching Plans To Block Hundreds Of Programmatic Data Companies From iOS

Apple’s WebKit crackdown appears to extend well beyond The Trade Desk, putting hundreds of ad tech, data and identity vendors on a mysterious, dynamically updated block list.

Josh Reed, Zoom's VP of brand and content, speaking at AdExchanger's Programmatic IO event in New York City (September 28, 2006)

Zoom’s Marketing Challenge Is That It’s Too Well Known For Its Own Good

Zoom has 99% unaided brand awareness, which sounds great on paper. But there’s a catch: Most people still think it’s just a video-call app.

Privacy! Commerce! Connected TV! Read all about it. Subscribe to AdExchanger Newsletters

Why Agencies Think They Shouldn’t Own Agentic AI Tools Or The Data Used To Build Them

Agencies are differentiating their tech stacks by building custom agentic AI tools for their clients. And they’re rethinking owning those AI tools – particularly since licensing them creates new revenue streams.

Programmatic IO: Insurers Are Building Ad Tech’s AI Accountability Layer

Agencies and marketers discussed the future of AI governance at AdExchanger’s Programmatic IO NYC this week. The main takeaway? Expect insurers to play an increasingly important role in managing AI compliance.

Apple’s Latest Operating System Blocks The Trade Desk From Serving Ads On Safari

The Trade Desk is unable to serve ads to the Safari browser for Apple device owners that have downloaded iOS 27. Apple has been investigating the issue since last week.