Remember when every company suddenly “had AI”? The same dynamic is playing out in reverse. Now that AI is real and everywhere, the question isn’t whether platforms will monetize it, but how. OpenAI just answered that question for ChatGPT, and Google, Microsoft, and Amazon are right behind it. The implications for B2B and B2C marketers are worth thinking through carefully.

ChatGPT: Intent-based advertising at conversation depth

OpenAI began testing ads in ChatGPT earlier this year for logged-in adult users on the Free and Go tiers. The format is straightforward on paper: ads appear below the end of a response, clearly labeled as sponsored, visually separated from the organic answer. They don’t influence what ChatGPT tells you.

The targeting logic is familiar. OpenAI matches ads to the topic of your conversation, your past chats, and past interactions with ads. Advertisers don’t have access to your chats, and OpenAI says it will never sell user data. The pilot has since expanded to Canada, Australia, and New Zealand.

What makes this different from search advertising is the depth of signal. Google built a $200 billion ad business on keywords. A keyword tells you what someone searched, not why, not what they already know, not what they’re actually trying to decide. ChatGPT knows all of that. It has the full context of the conversation. When someone is mid-conversation, actively exploring a decision, the ad may not be an interruption at all. It may be part of the answer.

The numbers suggest OpenAI is serious. The U.S. pilot crossed $100 million in annualized revenue within its first six weeks, with more than 600 advertisers on board. The company expects ad revenue to reach $2.5 billion in 2026, climbing to $53 billion by 2029.

For B2B marketers, the key targeting question: buyers on Plus, Pro, Business, or Enterprise plans won’t see ads at all. Only about 5% of ChatGPT users pay. The addressable audience is enormous, but it’s by definition the audience that hasn’t opted into a paid product yet.

Google: Already monetizing AI, with more coming

Google’s situation is the most nuanced, and the most immediately relevant for most marketers.

The standalone Gemini app is still ad-free. But Google is already monetizing AI in 2 ways that matter today. Ads in AI Overviews (the summaries that appear at the top of standard search results) are live and expanding internationally. And Google’s AI Mode, launched in March 2025, is actively testing ads. Early performance data puts AI Mode ads at 18% higher engagement than traditional search, at a 35% higher CPC, reflecting the deeper intent of users asking multi-part questions. Google is also piloting Direct Offers: a format that surfaces personalized promotions directly within AI Mode when purchase intent is clear.

Gemini itself is a different story, for now. Google’s VP of Global Ads publicly denied Gemini ad plans in December 2025. Then in a WIRED interview, Google SVP Nick Fox said ads in Gemini are “not ruled out” and that learnings from AI Mode would “likely carry over” to Gemini. On the April 2026 earnings call, Google’s Chief Business Officer told investors: “We really believe a format that works well in AI Mode would transfer successfully to Gemini app.” Independent analysis has also found advertising SDKs already loaded in the Gemini app, dormant but in place.

Google is using AI Mode as a testing ground while keeping Gemini clean to compete on pure utility. For marketers, the practical implication is immediate: your existing Google Ads setup now determines your eligibility for AI search placements. Fundamentals matter more than they did before.

Microsoft Copilot: Already there, and underutilized

Microsoft Copilot is the quietest story here, and arguably the most actionable for B2B marketers right now.

In late April 2026, Microsoft announced AI Max for Search, entering open pilot in May. It expands query matching across Copilot, Copilot Answers, and Bing, picking up the kind of conversational queries that keyword targeting misses entirely. Alongside it, Microsoft introduced Offer Highlights: ad experiences built for Copilot conversations that surface product differentiators like free shipping or in-store pickup directly inside the response, not just below it. Where Google places ad units alongside AI-generated answers, Microsoft embeds these callouts into the conversation itself.

The enterprise angle is worth understanding. As organizations deploy Microsoft 365 Copilot, employee research behavior shifts toward Microsoft surfaces. Microsoft’s own data shows about 75% of people now use AI alongside traditional search, and agentic browser traffic on its platforms nearly tripled in 2025. That creates a real opportunity: reach enterprise buyers where they’re increasingly doing their research, at lower cost than equivalent Google placements, before the broader market catches on.

If your ad strategy is entirely Google-focused, a growing share of your buyers’ research is happening somewhere you’re not showing up.

Amazon Rufus: The most concrete case study

If you want to see where AI advertising is headed, look at Amazon. Rufus, Amazon’s AI shopping assistant, now has 300 million active users and mediated 38% of all Amazon sessions during Black Friday 2025. Amazon says it drove nearly $12 billion in incremental sales last year. Shoppers who use it are more than 60% more likely to complete a purchase during that session.

On March 25, 2026, Amazon moved Sponsored Products Prompts and Sponsored Brands Prompts from open beta to general availability, confirmed directly on Amazon’s advertising platform. Ads now appear inside Rufus conversations when shoppers ask buying-related questions, and existing campaigns are automatically enrolled.

Here’s what makes Rufus different from traditional search advertising: organic visibility and paid placement are now deeply intertwined. Rufus filters the entire Amazon catalog down to roughly 5 recommendations for any given query. If your product doesn’t earn an organic recommendation, paid placement is your primary path into that conversation. If it does, paid placement amplifies it. Either way, the quality of your product content (how it answers questions, what attributes it surfaces) is now a direct input to advertising performance.

That’s a new dynamic. And it’s spreading beyond Amazon.

The bigger picture

Every major platform where your buyers spend time is moving toward conversation-based discovery. Every one of them is building advertising infrastructure on top of that layer.

This is happening now. Brands paying attention early, understanding how each platform’s AI works and how paid and organic interact, will have a real cost and visibility advantage by the time these formats mature and get expensive.

Pay attention now, or pay more later.