Editor's Note
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.

AI Marketing Geek Daily Newsletter

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.

Top Headlines

Story 1: OpenAI Launches an Ads Manager. The First Performance Data Is Uncomfortable.

OpenAI confirmed this week that it is testing a formal Ads Manager dashboard with a small group of partners, the clearest signal yet that ChatGPT advertising is moving from experiment to infrastructure. But the early performance numbers are raising real questions about whether the platform can deliver the results advertisers are used to seeing elsewhere.

OpenAI's ChatGPT ads program is starting to take shape. The company has begun testing an Ads Manager with a small group of partners and is gathering feedback, confirmed to Adweek. The Ads Manager is a dashboard that lets marketers run, monitor, and optimize campaigns in real time. Testers currently get weekly CSV reports with performance data like clicks or impressions.

Weekly CSV files. For context, Google Ads gives you real-time data, automated bid adjustments, and attribution across dozens of dimensions. OpenAI is handing early partners a spreadsheet once a week. That is not a criticism so much as a reality check on where this platform actually is right now versus where the hype suggests it should be.

Early tests suggest click-through rates on ChatGPT ads trail those seen on Google Search, highlighting a key hurdle for OpenAI as it tries to prove the value of advertising inside conversational AI. Some early advertisers have reportedly been asked to commit at least $200,000 in spend, raising the stakes for OpenAI to demonstrate measurable performance and ROI.

The structural challenge is real. When someone types a query into Google, they are expressing intent with a keyword. When someone talks to ChatGPT, the conversation can go in a hundred directions and the context for an ad placement is messier. OpenAI's ads appear below the end of a response, clearly labeled as sponsored and visually separated from ChatGPT's response. The company uses the topic of conversation, past chats, and past interactions with ads to select which ad to show, with advertisers only receiving aggregate information about how ads perform, not individual user data.

The confirmed early advertisers include Best Buy, AT&T, Pottery Barn, Expedia, and Qualcomm. These are massive brands with budgets to absorb an experimental $200,000 commitment while they learn. For most advertisers, this is still a platform to monitor rather than a platform to buy. The question worth watching is whether OpenAI can close the CTR gap with Google Search before it loses the attention of brands that signed up early and did not see meaningful returns.

Story 2: Google's AI Mode Is Citing Google More Than Any Other Website. By a Wide Margin.

A large-scale study published this week put a specific number on something SEOs and publishers have been worried about for months. When Google's AI Mode surfaces answers, it cites Google's own properties more than any other domain on the internet.

A study tracking 68,313 keywords across 20 industry categories and collecting 1,321,398 citations during a two-week window in February 2026 found that Google accounts for 17.42% of all AI Mode citations, making it the most referenced domain in AI responses. The comparison that makes it concrete: Google is cited more than YouTube, Facebook, Reddit, Amazon, Indeed, and Zillow combined. When YouTube is added to the tally, Google-controlled properties account for approximately 20% of all AI Mode citations.

That 17% figure is not static. Earlier research from June 2025 found that Google cited itself in only 5.7% of AI Mode answers. The self-citation rate has tripled in roughly eight months.

The geographic bias is even more pronounced in some categories. The SE Ranking analysis found that roughly half of all citations within AI Mode for topics related to entertainment and travel led back to a Google search result. For instance, when querying AI Mode about the 2026 Oscars, all 17 hyperlinks in that specific output led back to Google.

Google's response is that these internal links function like "shortcuts to help people explore likely follow-up questions." The publishing industry is not buying it. The European Publishers Council filed a formal antitrust complaint with the European Union in February 2026, arguing that Google was using publisher content in AI Mode and AI Overviews without authorization while directing users away from those publishers and back into Google's own ecosystem. The EU opened a formal investigation following the complaint.

For marketers and content producers, the strategic read here is uncomfortable but important. If Google's AI Mode is increasingly surfacing Google-owned content rather than third-party pages, the traditional model of investing in SEO to capture Google referral traffic is becoming even less reliable. Building audiences through owned channels like email, community, and direct subscription is no longer just a hedge against algorithm volatility. It is a hedge against an AI system that is structurally incentivized to keep users inside its own ecosystem.

Tools and Tips: How to Check If Google's AI Is Citing You or Bypassing You

Most marketers are not measuring their visibility inside Google's AI Mode at all. Here is a quick way to get a baseline picture this week.

Open Google and search five to ten of the questions your ideal clients or customers would realistically type. Look for the AI Mode response at the top. Are you cited? If so, is the link to your actual page or to a Google search result about your topic? Make a note of both.

Then check who is being cited instead of you. If a competitor, a Reddit thread, or a Google search page is showing up where your content should be, that tells you something actionable. Reddit showing up means conversational, first-person content on your topic is winning. A Google search page showing up means the AI could not find a clean enough third-party source and fell back on itself. That is actually an opening.

The content structure that earns AI Mode citations tends to share the same traits: a direct answer to a specific question within the first two to three sentences of a section, a clear attributed source or named author, and at least one verifiable data point. If your pages bury the answer after four paragraphs of context, AI Mode will often skip you entirely regardless of how well you rank organically. Fix the structure before you add new content.

Looking Ahead

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

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