I started this newsletter mostly to force myself to keep up with all the new AI marketing news. Things are moving fast! I figured other people might want to learn about it too, so here we are. If there are topics or companies you’d like me to cover, please send them over. I’m a team of one person, so I’ll do what I can. If you want to connect, you can find me running the fractional CMO arm of Foxtown Marketing on most days.

Welcome to today's edition of AI Marketing Geek, your daily dose of the latest AI developments, tools, trends, and actionable insights shaping marketing in 2026. As AI shifts from experimental hype to pragmatic, ROI-driven reality, we're seeing agentic AI take center stage. Autonomous agents are handling media buying, personalization, and commerce, which is wild to watch.

The first real performance data from ChatGPT's advertising program is circulating this week, and it is creating a gap between the platform's ambitions and what early advertisers are actually seeing. This is not a reason to write off the channel, but it is a reason to understand exactly what you are buying.

One brand running ads inside ChatGPT pulled a 0.91% click-through rate, landing nearly seven times below Google search benchmarks in the same vertical. Another advertiser only managed to spend 3% of a $250,000 budget over several weeks because the platform could not push enough volume. A reporting glitch inside OpenAI's Ads Manager is also blocking brands from accessing their own data, so there is currently no reliable way to optimize.

Despite the frustration, the platform is expanding. According to recent data from research firm Sensor Tower, the number of ads served halfway through March increased about 600% from the first of the month. Sensor Tower estimated that ads have now rolled out to about 5% of ChatGPT mobile users, up from 1% at the beginning of March. A recent Truist analyst note called 2026 an "inflection year" for large language model-powered ads, projecting OpenAI will generate under $1 billion in ad revenue this year but over $30 billion by 2030.

OpenAI is also hiring seriously into this space. OpenAI has hired Dave Dugan, a former top advertising executive at Meta, to oversee ad sales, reported by the Wall Street Journal on Monday. This follows a report from Reuters that OpenAI is weeks away from expanding ads to all U.S. users of ChatGPT's free and Go versions.

One nuance in the CTR story is worth holding: the gap between ChatGPT and Google search CTR is partly structural, not just a quality problem. ChatGPT resolves queries inside the conversation. Users often do not need to click anywhere. That means click-through rate may not be the right primary metric for this channel. Criteo, the first ad tech partner connecting approximately 17,000 advertisers since March 2, has reported that LLM-referred users convert at roughly 1.5 times the rate of users from other referral channels. That conversion premium could offset lower CTR, but advertisers will need more granular data to evaluate the trade-off.

The honest summary: ChatGPT advertising is real, expanding fast, and hiring serious talent to scale it. The infrastructure is not yet mature enough to justify large budget commitments from performance marketers. That will change within months, not years, and being early will have advantages. But right now, this is a testing environment, not a reliable media channel.

If you have not opened Meta Ads Manager in the last few weeks, you may have missed a new AI tool sitting in the Tools menu. It is called Manus, and the story behind it tells you a lot about where platform-native advertising AI is headed.

Meta acquired Manus AI for over $2 billion in December 2025 and had it live inside Ads Manager by February 2026, a deployment timeline of roughly seven weeks. More than 4 million advertisers can now access it via the Tools menu to automate reporting, audience research, and campaign analysis.

What Manus actually does right now is more focused than the hype suggests. Meta paid $2 billion for Manus. By February, the integration was live for every advertiser on the platform. What it actually does is analyze performance data and recommend changes without requiring you to bounce between reports. It can catch creative fatigue patterns early, identify rising CPMs before they damage results, and answer questions like "which creatives have frequency above 3.5 in the last 7 days" in a single prompt.

The distinction between Manus and Meta's existing Advantage+ automation is important. Manus operates at a higher abstraction layer, researching, analyzing, and reporting across campaigns rather than optimizing within a single one. It represents the difference between a smarter autopilot and an AI co-pilot that can read the entire instrument panel. Manus and Advantage+ are complementary: one handles strategic intelligence, the other handles real-time delivery optimization.

The same infrastructure extends into Instagram's Creator Marketplace to evaluate audience-creator fit, and carries over into WhatsApp Business for drafting replies and managing projects. The pitch is fewer tabs and faster decisions, though the agents still need a human checking the work.

The longer-term picture Meta is building toward is explicit: Meta has publicly stated its intention to fully automate ad creation with AI by the end of 2026. Under that proposed framework, advertisers would provide a product image, a campaign objective, and a budget, and Meta's systems would generate, place, and optimize all creative and targeting from those inputs.

If that vision ships, the role of a Meta advertiser shifts entirely from building campaigns to briefing them. That is not a future to fear if you understand what it means. The competitive advantage moves upstream, into creative strategy, brand positioning, and brief quality, because the execution layer stops being differentiating.

Manus is available to you right now. Here is how to get something useful out of it quickly.

Open Meta Ads Manager and go to Tools in the left navigation. If you see Manus AI, click in and accept the activation. If you do not see it yet, it may still be rolling out to your account.

The most immediate use case is campaign performance review. Ask it a specific question rather than a vague one. "Which campaigns have the highest frequency in the last 14 days and how is CTR trending on those?" will get you a real answer. "How are my campaigns performing?" will get you noise.

The second use case is creative fatigue detection. Set a standing question for every Monday morning: ask Manus to flag any ad sets where frequency has crossed 3.5 and CTR has declined week-over-week. That combination almost always signals audience exhaustion, and catching it early prevents wasted spend.

One important limit to know going in: Manus AI reads only Meta data. It cannot analyze Google Ads or LinkedIn data, and it will produce recommendations based solely on what it sees inside Meta's platform. For anyone running Meta alongside other paid media, that is a meaningful gap worth knowing before relying on its output. If you need cross-channel analysis, you still need to pull data manually or use a connector. Manus is a powerful tool within one platform's walls, and that is exactly what it is.

2026 is the year AI moves from "cool demos" to real and measurable business use cases. Expect more agentic tools, voice-powered targeting, and a focus on privacy-first data.

Stay ahead of the game by treating your AI reputation like your website. It would behoove you to make your brand easy for agents to understand and cite.

What AI experiment are you running this week? Reply and let me know. I'll feature top stories in future editions! (Everybody loves a good story)

Stay sharp,
Jon
@mistersterling
Chief AI Marketing Geek