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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:
Insightly adds generative AI Copilot to CRM workflows
Google’s AI Mode quietly hits 75M daily users
Zara uses AI to create fashion imagery with real models
Plus: Microsoft’s AI red line, new disclosure rules reshaping ad creative, agentic AI running paid media, a practical video workflow, and four tools marketers should test this week
The Week’s Top Stories
1. Insightly integrates generative AI Copilot into its CRM
Insightly has launched a new AI-powered assistant called Copilot that brings conversational AI into its CRM workflows. The feature lets users automate tasks, retrieve insights, manage customer records and draft personalised messages using plain language prompts. Copilot aims to simplify CRM work for sales, marketing and customer success teams by turning routine tasks into natural language queries.
Why it matters: Marketers can cut hours of admin and data work each week by using Copilot to automate campaign logistics and surface actionable insights quickly. 📰 Tech Radar
2. Google’s AI Mode hits 75M daily users while context features lag
Google’s AI Mode has now reached 75 million daily active users worldwide, but its promised personal context features remain in testing. The search division also launched Gemini 3 Flash, a faster AI model powering search and overviews. User behaviour now skews toward longer, conversational queries that feel more like dialogue than classic search.
Why it matters: AI search is maturing into a real channel for content discovery, not just an experiment; marketers must rethink content depth for multi-turn sessions rather than short snippets. 📰 Search Engine Land
3. A new browser extension turns AI LinkedIn posts into Allen Iverson facts
A new extension called AI2AI replaces LinkedIn posts about artificial intelligence with trivia about basketball legend Allen Iverson. It’s satire, but it also captures a real mood: professionals are exhausted by performative AI posting and algorithmic sameness. The creators built it as a coping mechanism for feeds that feel like one endless prompt.
Why it matters: If your AI messaging sounds like everyone else’s, your audience is mentally unsubscribing. This is your sign to write like a human with taste, not a deck with legs. 📰 Wired
4. Zara adopts AI to generate fashion imagery with real models
Fashion retailer Zara announced it is using artificial intelligence to generate campaign imagery featuring real-life models rather than fully synthetic figures. The initiative aims to speed up creative production while still compensating and involving human talent, and Zara says AI will augment rather than replace creatives. The industry is watching closely, as competitors like H&M and Zalando adopt similar workflows.
Why it matters: This signals a shift from AI as gimmick to AI as practical creative infrastructure. Marketers should consider how AI can streamline production without compromising brand identity or ethical standards. 📰 Reuters
5. Fluency raises $40M to automate ad campaigns with “agentic AI”
Fluency, an adtech company, has closed a $40 million Series A to expand its AI platform that autonomously manages digital advertising across Google, Meta and TikTok. Its so-called agentic AI can adjust creatives, copy and bidding in real time without manual intervention, aiming to make campaign optimisation faster and cheaper. The platform already manages around $3 billion in annual ad spend for global clients and plans to scale further with the new funding.
Why it matters: This pushes AI beyond suggestion and into active campaign execution, signalling a shift where brands and agencies may rely on autonomous systems to run ads across multiple channels. 📰 Business Insider
Quote Of The Week
We will walk away from any AI system that risks running away from us."
Context: Mustafa’s view on Microsoft’s approach to safe AI development.
The Weekly Deep Dive
How AI advertising disclosure rules are reshaping creative workflows
Recent regulation now legally requires advertisers to disclose when ads feature AI-generated people or synthetic performers, forcing teams to rethink their creative production and governance processes.
Context and compliance
Regulators in the United States (starting with New York) have passed laws obliging ads that use synthetic performers or AI-generated human likenesses to include clear, conspicuous disclosures. That spans digital, TV, print and social placements and carries civil penalties for non-compliance.
Creative guardrails
Creative and production teams now must map where generative tools are used, revise briefing templates, and standardise disclosure language so that AI contributions aren’t hidden. Disclosures must be placed where audiences can actually see them, not buried in source metadata.
Cross-functional workflows
This isn’t just legal; it’s operational. Marketing, legal, media and production must coordinate earlier in campaigns to assess risk, label assets and update contracting with vendors and creators to include AI use clauses and audit evidence.
Our takeaway: Marketers are now shaping not just what is created with AI, but how it’s documented, disclosed and approved. Creative governance will be as important as creative execution.
📖 Read the full article at JD Supra
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What To Watch
AI Marketing Isn't As Scary As You Think - Neil Patel
A roundtable-style breakdown of how marketers are using AI in real workflows, with the boring bits included (process, QA, and where it falls over). It’s practical rather than hypey, and it’s a good watch if your team is stuck between “we should use AI” and “cool, but how?” - watch it here.
Podcasts
Ep 675: Creative Frameworks for Problem-Solving with Generative AI
This episode breaks down practical frameworks for using generative AI to solve creative problems, not just churn content. It’s especially useful for marketers who want repeatable ways to turn messy briefs into clear outputs without sounding like a prompt gone wrong.
AI Training
Turn webinar recordings into short-form video clips automatically
The overview: Create ready-to-post short videos from long webinar recordings without manual editing.
Step-by-step:
Transcribe the source video
Upload your webinar recording into Descript and let it auto-transcribe the full session. This gives you an editable text version of the video in minutes.Identify clip-worthy moments
Paste the transcript into ChatGPT and ask it to surface 5 punchy moments that work as standalone clips. Focus on insights, contrarian takes, or clear how-tos.Cut clips using text editing
Back in Descript, delete everything except the chosen moments using the text-based editor. Each remaining section becomes its own short clip.Add captions for silent viewing
Apply Descript’s caption templates to each clip to ensure readability on mute. Keep lines short and avoid covering faces or key visuals.Export for multiple channels
Export clips in vertical and square formats so they’re ready for social feeds, email embeds, or landing pages.
Pro tip: This workflow works just as well for podcast episodes, customer interviews, or internal product demos.
Trending AI Tools For Marketers
Here are 4 trending tools to explore this week. Quick, practical upgrades to your AI marketing arsenal:
🧠 PromptLayer 2.0 – Track, version, and audit AI prompts across teams to keep outputs consistent and reviewable.
🧱 Framer – Generate and publish production-ready landing pages from a single text brief.
🎥 Veed AI Avatars – Create presenter-led short-form videos using AI avatars without filming.
📈 Rowy AI – Turn live databases into collaborative, AI-powered dashboards and workflows.
