How Snap Is Turning Its AI Chatbot Into an Ad Platform

Snap has launched a new way for advertisers to reach users: AI Sponsored Snaps, which places branded ads directly inside its My AI chatbot. Early results show these ads convert at rates 22% higher than other ad formats, and cost roughly 20% less per action to run. They also generate twice as many conversions compared to traditional full-screen ads, according to Snap.

The move caps off a broader push by Snap to make money from the conversational AI systems it has been investing in heavily. The company recently signed partnerships with Microsoft to power ads inside My AI, and committed $400 million to integrate search capabilities from an AI startup called Perplexity into Snapchat.

What My AI Actually Is (and How Snap Uses It)

My AI is Snapchat's chatbot — think of it as a conversational assistant available directly in the app. It rolled out globally in April 2023. Since then, more than 150 million users have sent 10 billion messages to it, and roughly one in five monthly active users chats with it regularly. That level of engagement has given Snap a goldmine of data.

Snap partnered with Microsoft Advertising to plug sponsored links directly into these conversations. Microsoft's advertising clients can now place relevant ads that appear as the chatbot responds to user questions. The ads are live in the U.S. and some international markets.

CEO Evan Spiegel has described the data flowing from these chats as "privacy-safe intent data" — meaning Snap can figure out what users are interested in without storing personal details. That information helps the company fine-tune who sees which ads, which in turn makes the ads perform better. It's a feedback loop: better targeting makes ads work harder for advertisers, which justifies higher prices for Snap.

Why Chat-Based Ads Might Actually Work Better

Early results suggest that ads embedded in conversations outperform traditional ads on social media. Experian, a financial services company, has tested AI Sponsored Snaps to reach users interested in credit monitoring and personal finance. The format appears to work because the ads are relevant to what users are actively asking about.

This pattern has historical precedent. When search advertising first appeared — think Google's text ads next to search results in the early 2000s — it crushed banner ads in performance because ads appeared only when someone explicitly searched for that topic. Conversational AI creates a similar moment: advertisers can reach someone at the exact instant they express an interest, using natural language instead of a search box. That timing and relevance appear to drive the stronger conversion numbers Snap is seeing.

Snap's AI Expansion Beyond Chatting

Snap is not placing all its chips on simple chatting. The company's $400 million deal with Perplexity — an AI startup that specializes in retrieving answers from across the web — brings a search-like capability into Snapchat itself. Users can ask questions and get structured answers with sources cited, all without leaving the app.

This is technically complex: Snap has to connect Perplexity's search systems to its existing chat infrastructure. But the payoff is significant. If Snapchat becomes a place where younger users search for information, Snap gains access to the same kind of high-intent data that powers Google's ad business. Search queries tend to signal what people actually want to buy or learn about, making them valuable for advertisers.

Snap is also pulling in AI models from Google alongside its Microsoft and Perplexity partnerships, rather than betting everything on one vendor. This approach suggests the company is prioritizing having the best tools available, even if they come from different sources.

The Arithmetic Behind the AI Push

Running large-scale conversational AI — handling 10 billion messages a month across hundreds of millions of users — is computationally expensive. It requires powerful servers and ongoing operational costs. Snap's wager is that turning these chat interactions into advertising opportunities will generate enough revenue to pay for the infrastructure and then some.

The company's audience has historically been difficult to monetize. Snapchat users are younger and more resistant to ads than users of other platforms. Conversational AI offers a way to slip ads into experiences that already feel natural: a chatbot responding to a question, a search result with a relevant sponsored link. Embedding ads into moments where users are engaged and seeking information may feel less intrusive than other approaches.

On a broader industry level, this is part of a shift toward "AI-native" advertising — formats built around how people interact with AI rather than pasted onto existing social feeds. As conversational AI becomes more central to how people get information online, advertisers want to reach them in those moments. Snap is moving early on this opportunity, and the performance numbers it has released so far suggest the bet may pay off.

The real test will come over time. Snap needs to keep users chatting with My AI without letting ads feel forced or annoying. If the company can maintain genuine engagement while scaling up commercial content, it will have found a new revenue engine. If ads become too prominent, users may simply stop using the chatbot.