In partnership with
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:
ElevenLabs’ Voice Marketplace is rewriting the rules of celebrity endorsements
Google drops Gemini-powered Ads & Analytics Advisors into Ads + GA4
Klaviyo shows how to let its AI Marketing Agent run your BFCM calendar
Plus: Meta’s GEM “brain” for ads, brutal AI-Overviews CTR data, 4 new trending AI tools, and learn how to build a reusable ad-creative system in Canva AI
The Week’s Top Stories
1. Google launches Gemini-powered Ads & Analytics Advisors for marketers
Google has launched Ads Advisor in Google Ads and Analytics Advisor in GA4, Gemini-powered agents that scan your accounts, site and performance to surface insights and recommended actions. They’re rolling out to all English-language accounts from December, positioned as in-product “copilots” that can propose campaigns, fix tracking issues and suggest budget or bid changes.
Why it matters: Your stakeholders will expect faster answers when Google can literally tell you what broke in your funnel and suggest the next optimisation in a single chat thread. 📰 Google Blog
2. Meta’s GEM becomes the “central brain” of its ads recommendation system
Meta has unveiled GEM (Generative Ads Model), an LLM-scale ads foundation model that sits behind its ad stack and boosts conversion rates by up to 5% on Instagram and 3% on Facebook by serving more relevant ads. The model learns across billions of impressions and then propagates those learnings into other recommendation systems, effectively becoming the central brain for creative and delivery decisions across Meta’s ad network.
Why it matters: Creative testing on Meta will increasingly be about feeding GEM high-quality inputs and constraints, then ruthlessly pruning what the model decides to ship. 📰 Engineering at Meta
3. New data shows AI Overviews are slashing Google CTRs
A fresh analysis of Seer Interactive’s September 2025 study reports that Google AI Overviews cut organic CTR by 61% and paid CTR by 68% when they appear, with non-AIO queries also suffering a 41% organic CTR drop over the period. Brands that are actually cited inside AI Overviews, however, see significantly higher organic and paid CTRs than those that aren’t mentioned, shifting the battle from “rankings” to “citations”.
Why it matters: SEO reporting now has to include “share of AI answer” and citation wins, because sitting in position one means very little if the overview doesn’t name you. 📰 Seize Marketing
4. Klaviyo’s K:AI Marketing Agent is positioned as a virtual lifecycle manager
Klaviyo’s latest BFCM guide shows how its K:AI Marketing Agent can audit your site, build a full Black Friday/Cyber Monday strategy and auto-generate on-brand email/SMS flows, forms and calendars in minutes. Once campaigns are live, the agent also proposes post-BFCM journeys like replenishment, win-back and VIP sequences, so marketers review and approve rather than building everything from scratch.
Why it matters: If your ESP still feels like a blank canvas every peak season, you’re about to get lapped by brands whose “junior marketer” is an always-on AI agent living inside their lifecycle stack. 📰 Klaviyo Blog
5. Kaltura buys AI avatar startup eSelf to power “human-like” video agents
Video cloud platform Kaltura has agreed to acquire eSelf.ai in a deal worth up to $27m, bringing photorealistic, conversational AI avatars into its enterprise video and learning products. The company says the acquisition will accelerate its move into immersive, real-time virtual agents for customer and employee experiences, effectively turning video platforms into interactive, AI-driven presenters and guides.
Why it matters: Expect marketing, sales and CS teams to start swapping static explainer videos for AI presenters that can answer questions, personalise demos and run 24/7 without booking a shoot. 📰 TechCrunch
Quote Of The Week
Cost savings can’t replace brand magic."
This line comes from ContentGrip’s breakdown of Coca-Cola’s AI-generated Christmas ad backlash, where she argues that faster, cheaper AI production means nothing if it erodes the emotional equity brands spent decades building. For marketers flirting with “AI because it’s cheaper”, it’s a clean reminder that efficiency gains don’t show up on the balance sheet if your most iconic work stops resonating.
The Weekly Deep Dive
ElevenLabs’ Iconic Voice Marketplace is rewriting the rules of celebrity endorsements
The Verge reports that ElevenLabs has launched an Iconic Voice Marketplace, letting brands legally license AI-generated voices of famous figures like Michael Caine, Judy Garland and Alan Turing for ads and content. The platform connects marketers with rights holders and promises a “performer-first, consent-based” approach after years of deepfake scandals. For AI-curious brands, this is the first serious attempt to turn synthetic celebrity voices into a mainstream, above-board media product.
From wild-west cloning to licensed IP
Until now, most AI celebrity voice use has lived in a legally grey zone, with deepfake clips going viral long before lawyers could react. ElevenLabs’ marketplace flips that by only offering voices where rights holders have explicitly opted in and set commercial terms. This moves “AI endorsement” from risky stunt to something your legal and PR teams can actually sign off.
What this unlocks for campaigns and content
For marketers, this opens the door to scalable, multilingual campaigns fronted by instantly recognisable voices without flying anyone to a studio. You could have Michael Caine narrate a holiday brand film, then spin localised cuts for Spanish or German audiences using the same approved voice profile. It also blurs the line between ad, podcast and product experience, as the same synthetic voice can guide users across video, audio and in-app moments.
The new rules for brand safety and consent
The move doesn’t magically solve every ethical concern; brands will still be judged on how they use these voices, not just whether they have the licence. Overly gimmicky or insensitive executions will backfire faster now that audiences understand how powerful synthetic media has become. Smart marketers will treat consented AI voices like any other high-stakes endorsement: tightly scripted, context-aware and aligned with both the celebrity’s legacy and the brand’s values.
Our takeaway: AI celebrity voices are shifting from back-alley deepfakes to a legitimate, rights-managed media format, but the reputational risk is still entirely yours. Use them to enhance storytelling and accessibility, not as a shortcut to cheap attention. 📖 Read the full article at The Verge
Make Every Platform Work for Your Ads
You’re running an ad.
The same ad. On different platforms. Getting totally different results.
That’s not random: it’s the platform effect.
So stop guessing what works. Understand the bit-sized science behind it.
Join Neuroscientist & Neurons CEO Dr. Thomas Ramsøy for a free on-demand session on how to optimize ads for different platforms.
Register & watch it whenever it fits you.
What To Watch
How to Automate AI Videos on Social Media (Sora & Veo)
This tutorial shows how to generate short-form AI videos (using tools like Sora/Veo–style workflows) and then automatically post them across multiple social channels. It’s very tactical: think content marketers and social managers who want to scale video output without manually editing and scheduling everything. Great if you want something execution-focused for creators and social teams - watch it here.
Podcasts
AI, Authenticity, and SEO with Wil Reynolds (EDGE of the Web Radio, Ep. 775)
Wil Reynolds breaks down how AI-generated content is flooding search, why “fast content” is quietly wrecking trust signals, and what that means for your SEO and brand strategy in 2025. It’s a very marketer-friendly chat about balancing AI-assisted production with actual expertise and originality in a world of AI Overviews and zero-click searches.
AI Training
Build a reusable ad-creative system in Canva AI (30-minute sprint)
The overview: Most teams still rebuild paid-social assets from scratch every time a new offer drops. This micro-training uses Canva and its AI features to turn one strong concept into a reusable, on-brand creative system you can spin up in minutes for Meta, TikTok, and display.
Step-by-step:
Create a master template file
Set up a single Canva design with your core brand elements: logo, colours, fonts, and a simple offer layout (headline, image, CTA). Add frames for 1:1, 9:16, and 16:9 so the same concept can flex across placements. Name it clearly, e.g. “Paid Social – Master AI Template – Q4”.Wire in AI copy with Magic Write
In Canva’s editor, open the text panel and use Magic Write to generate 5–10 headline and body copy variations for one offer (e.g. “20% off for first-time customers”). Give it constraints: tone, word counts, and target audience. Save the best lines as separate text styles inside the file so you can swap them in with one click later.Use AI image tools to batch visual options
Use Canva’s AI image tools (or upload brand-safe product shots) and create 3–5 distinct visual directions for the same message: product-centric, lifestyle, UGC-style, and a simple graphic. Keep composition similar across aspect ratios. This gives you a mini creative matrix: 3–5 images × 3–5 headline options.Build a “variant board” page for testing
Duplicate your master page into a grid of 6–9 ad tiles. Swap in different copy + image combos to represent specific hypotheses (e.g. urgency vs social proof vs benefit-first). Label each tile with a tiny caption (“Benefit + UGC”, “Offer + Countdown”) so performance analysis later actually means something.Export in naming-friendly batches for your ad platform
Export all variants with descriptive filenames that match your hypotheses (e.g. fb_bfcm_benefit_ugc_v1.png). Upload them into Meta or TikTok Ads and group them into one ad set per audience so the platform’s optimisation can pick winners. Document which combinations perform best so you can update the template for the next campaign.
Pro tip: Once you know which visual + copy combos win, turn those into saved pages in Canva and reuse them across channels – just swap offers and product shots and you’ve got instant, on-brand variants for email headers, social posts, and even site banners.
Trending AI Tools For Marketers
Here are 4 trending tools to explore this week — quick, practical upgrades to your AI marketing arsenal:
🛍️ Elsie AI – Solo-founder ecommerce copilot that analyses your store and suggests on-brand campaigns, pricing tweaks, and product insights in one dashboard.
✍️ Scraib.app – Menu-bar writing assistant for Mac that rewrites copy in any app with ⌃R, ideal for fixing landing pages, outreach emails, and social captions on the fly.
🤖 Cotera – Agent platform that lets you deploy AI agents across your stack (marketing, ops, support) with more control than no-code bots and less engineering than custom frameworks.
📈 Alembic – causal AI analytics platform that ties brand, media and social activity directly to revenue so you can see which campaigns actually move the needle.
