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Your weekly guide on everything AI marketing. Covering everything from AI marketing news, tips, deep dives, events, podcasts, jobs and much more. Never miss a beat with our 5-minute newsletter.
In Today’s Email:
ChatGPT begins testing ads in conversational AI
Evertune shows brands their AI answer engine presence
Senators challenge AI ad practices in chatbot environments
Plus: A reality check on AI creativity, a must-watch on where AI advertising is heading, a practical workflow to fix your brand’s AI answers, and four new tools worth trying.
The Top 3 Stories
1. OpenAI’s ChatGPT starts testing ads inside AI conversations
OpenAI is rolling out clearly labelled ads in ChatGPT for free and low-cost Go users in the US, with ad placements appearing at the bottom of relevant chatbot responses. These early impressions will be sold to select advertisers on a pay-per-impression basis before any self-serve ad tools are available. The move retains ad-free experiences for Plus, Pro, Business and Enterprise subscriptions. Advertisers and analysts suggest this is a big shift in how brands might reach audiences inside high-intent conversational contexts.
Why it matters: This could create a new marketing channel where brands reach users at the moment of query intent, but marketers must balance ad experiences with trust risk. 📰 Marketing Dive
2. Lawmakers press AI companies on advertising transparency
On the other side of the argument, US Senator Ed Markey has formally questioned OpenAI and other leading AI firms about their plans to integrate ads into chatbot experiences, citing potential consumer protection and privacy concerns. The letter argues that embedding ads into conversational tools may erode trust and exploits emotional bonds users form with AI. Markey also highlighted safeguards and asked companies to clarify how they protect sensitive data and avoid manipulative techniques. This political scrutiny comes just as OpenAI begins ad tests in ChatGPT for adult free users.
Why it matters: Regulation and oversight are accelerating, and marketers planning ad strategies inside AI experiences must watch evolving compliance and transparency expectations. 📰 Forbes
3. Netflix’s ad business doubles as AI-powered formats accelerate
Netflix confirmed its advertising revenue more than doubled in 2025 and is on track to reach around $3bn in 2026, driven by rapid adoption of its ad-supported tier. The company highlighted increased use of AI-powered targeting, measurement and interactive ad formats to attract brand spend. Netflix is positioning itself as a serious alternative to traditional digital ad platforms as streaming inventory matures. Multiple analysts now view streaming as a core AI-enabled performance channel rather than a brand-only play.
Why it matters: AI-driven targeting and measurement are turning streaming into a performance channel, forcing marketers to rethink how video budgets are allocated. 📰 The Verge
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More trending AI marketing news from last week
Google launched a dedicated podcast for Google Ads amid rapid evolution in demand-generation features.
New autonomous AI video agents can produce social-ready product videos in minutes, reshaping content production workflows.
Pinterest reshuffled its leadership as it pushes harder to become an AI-driven shopping destination for Gen Z, with direct implications for social commerce budgets
The Financial Times reported that AI-driven advertising competition is accelerating rapidly, signalling a potential shake-up in how digital ads are bought, sold and measured.
Vogue reported that AI shopping agents and Shopify’s Universal Commerce Protocol could shift fashion discovery away from ads toward agent-led recommendations.
Adweek reported that a former Perplexity ads executive joined AI video startup Higgsfield, signalling growing momentum behind AI-native video production.
Quote Of The Week
AI is a powerful enabler, but it should not be used as a shortcut to originality."
Trending AI Tools For Marketers
Here are 4 trending tools to explore this week. Quick, practical upgrades to your AI marketing arsenal:
🌐 Fimo – Build and iterate a website in seconds with an AI-native CMS built for fast collaboration and constant optimisation.
🧠 StoryChief AI Canvas – Plan, create and publish full campaigns in one visual workspace, from keyword research to content output.
🎬 Templated – Generate automated, dynamic MP4 videos at scale using templates and an API for social, product demos and personalised creative.
📈 Citable – Track and improve how your brand shows up in AI answers by measuring share-of-voice across models and prompts.
TV, Podcasts & Streaming
The AI Advertising Podcast – How AI Will Orchestrate Advertising in 2026
This week’s highlight digs into how AI is reshaping the advertising ecosystem, connecting data, creative, channels and measurement into unified strategies, with practical takeaways for marketers planning ahead. The hosts break down why AI isn’t just a creative tool but a force reorganising how campaigns are bought and delivered across formats - listen to it here.
AI Training
Fix your brand’s “AI answers” blind spot in 30 minutes with Citable
The overview: Using Citable, you’ll benchmark how often your brand shows up in AI answers, see which sources LLMs cite, and leave with a short punch list of content fixes to improve visibility in under 30 minutes.
Step-by-step:
Set up your benchmark
Create a new project in Citable and add your brand alongside 2–3 key competitors to establish a baseline for comparison.Define buyer-intent prompts
Select 10–15 high-intent prompts (for example “best [category] for [use case]”) and run them across models like ChatGPT, Gemini, Perplexity and Claude.Analyse share of voice
Review your share-of-voice by prompt and model to identify where competitors dominate AI-generated recommendations.Inspect citation sources
Open the citations view to see which websites, publishers or content formats AI models rely on when recommending brands in your category.Build a short action backlog
Use Citable’s insights to create a focused 7-day plan, such as publishing one targeted page, improving an FAQ block, or earning inclusion on a cited source.
Pro tip: Save your prompt set and rerun it weekly to track whether content changes actually move AI share-of-voice, not just rankings or traffic.
The Weekly Deep Dive
Why “AI slop” is becoming a real brand risk for marketers
As generative AI floods feeds, inboxes and ad inventory, a backlash is building around what creatives are calling “AI slop”. Last week, multiple outlets warned that low-quality AI output is starting to hurt brand trust, not help performance.
When scale beats taste
Generative AI makes it easy to produce hundreds of assets in minutes, but quantity is increasingly overwhelming quality. Audiences are noticing repeated structures, generic visuals and hollow messaging across brands. What once felt novel now feels lazy when deployed without human judgement. Scale without taste is quickly becoming a liability.
Platforms are amplifying the problem
Algorithm-driven platforms reward speed, volume and iteration, which plays directly into AI’s strengths. This creates feedback loops where generic creative spreads faster than thoughtful work. Brands chasing performance metrics can unintentionally train systems to prioritise sameness over distinction. Over time, this erodes brand equity even when short-term metrics look healthy.
Human oversight is the differentiator
The most effective brands are using AI as a starting point, not an end product. Human-led creative direction, editing and narrative framing remain essential to avoid commoditised output. AI can accelerate execution, but it cannot replace judgement, cultural awareness or brand voice. The gap between assisted creativity and automated noise is widening.
Our takeaway: AI will keep lowering the cost of production, but brand value will increasingly come from restraint, taste and editorial control. Marketers who treat AI as a junior assistant, not a creative director, will win long term.
📖 Read more on this topic at The Verge
That’s it today!
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