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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:
Gracenote launches new CTV ad platform.
Azoma raises $4 M to tackle AI search visibility for brands
Momentus Digital rolls out MoAI suite for automated ad management
Plus: this week’s top quote, new podcast pick, trending AI tools and a plug-and-play AI marketing workflow
The Week’s Top Stories
1. Gracenote debuts programmatic-ready CTV ad platform
Gracenote released ‘Content Connect’, which adds consistent labels to streaming shows like mood and genre. It fixes the problem of each platform using different metadata, which makes targeting messy. With one shared system, advertisers can finally target CTV (connected TV streaming ads) with digital-style precision, turning guesswork into structured placements.
Why it matters: This brings real transparency and targeting control to CTV, making streaming ads more like the precision of digital display or search buys. 📰 TV Tech
2. London startup Azoma raises $4 m to optimise for AI-driven search and chatbots
Azoma, a UK-based marketing tool provider, pulled in fresh funding to help brands show up in AI-powered search and chatbot results by building “digital twins” of user personas and testing brand visibility across thousands of prompts.
Why it matters: As search shifts to large language models and chat interfaces, traditional SEO won’t cut it. Brands will need to optimise for conversational AI visibility to stay discoverable. 📰 Business Insider
3. Momentus Digital releases MoAI: agentic AI suite for ad and creative workflows
Agency-side platform MoAI promises to automate major chunks of digital advertising workflows, from ad buying optimisation to creative generation and video ads, all from one interface.
Why it matters: This marks a further shift away from manual campaign setups toward data-driven, automated ad operations, the kind of “always-on” system that can scale fast but still need human guidance. 📰 The Economic Times
4. Consumers leaning on AI for holiday shopping research and reviews
With generative-AI tools much more widely used this season, around 56% of US consumers say they’ll use AI chatbots to compare prices, while 47% plan to rely on AI to summarise reviews, shifting discovery and decision-making upstream.
Why it matters: Brands need to think beyond direct ads, if you’re not shaping the data that AI tools draw on (product info, reviews, content), you risk disappearing from the shopper’s “first view”. 📰 DigiDay
5. AI becomes the silent backbone of Q4 martech setups
In a broad trends roundup, marketers note that AI is no longer the ‘nice-to-have’ surprise; it’s increasingly baked into campaign automation, attribution, creative optimisation and customer journey plumbing.
Why it matters: Those still dabbling with AI selectively may be outpaced by teams rebuilding full workflows around it. Next year, AI readiness will be baseline, not bonus. 📰 Seafoam
Quote Of The Week
AI is not a shortcut. Treat it like hiring an intern who never sleeps."
Context: from an interview Sara did with Wall Street Journal, published this week about creating Svedka’s first AI-led Super Bowl ad.
The Weekly Deep Dive
Why GEO might decide who wins search in 2026
As search leans into chatbots and large-language-model interfaces, traditional SEO is morphing quickly. Enter Azoma, the London start-up rewriting the rules of brand visibility for the AI era. Their recent funding round highlights a growing shift in how marketers must approach search.
How Azoma thinks about AI search
Azoma builds a “digital twin” of a target customer persona, then simulates thousands of prompts to test whether chatbots and AI search tools surface a brand or its products. That means going beyond keywords to understand conversational intent.
Why old-school SEO won’t cut it anymore
As more users rely on AI assistants to research gifts, deals, and reviews, optimising for classic search results becomes less useful. Brands that don’t make themselves discoverable to chatbots risk vanishing from those first-look AI results.
What marketers should do now
Start drafting “AI-search copy”. This is conversational, FAQ-style, centred around how people would ask for your product in natural language, not just what they might type into Google. Audit product metadata, descriptions and content to make it understandable by an LLM context.
Our takeaway: GEO optimisation is emerging as a crucial parallel to SEO and brands that start shaping their presence for AI search now will own shelf space where today’s algorithms already decide.
📖 Read the full article at Business Insider
Shoppers are adding to cart for the holidays
Over the next year, Roku predicts that 100% of the streaming audience will see ads. For growth marketers in 2026, CTV will remain an important “safe space” as AI creates widespread disruption in the search and social channels. Plus, easier access to self-serve CTV ad buying tools and targeting options will lead to a surge in locally-targeted streaming campaigns.
Read our guide to find out why growth marketers should make sure CTV is part of their 2026 media mix.
What To Watch
AI for Content Marketing in 2025: Dos and Don'ts for Better Results
This video from Optimizely breaks down how to use AI across the content marketing cycle without turning everything into bland, copy-paste posts. It walks through practical dos and don'ts so you know when to lean on AI for speed and when to step in yourself to protect brand voice and quality - watch it here.
Podcasts
“The Effective CMO: Popeyes’ Alexandre Antonello”
This week’s episode digs into how brands are pivoting from short-term activations to long-term trust building under economic pressure. It explores how consistency and clarity are replacing flashy campaigns in a tightening fiscal climate.
AI Training
Build a “One Hour Competitor Content Scanner” using AI
The overview: A simple workflow that uses AI to scan competitor content, summarise patterns and reveal gaps you can fill with new campaigns.
Step-by-step:
Gather competitor
URLs Collect 3 to 5 competitor URLs and drop them into a Notion page or Google Doc.Break down each page with AI
Paste each URL into ChatGPT and ask for a concise breakdown covering messaging themes, content angles, strengths and weak points.Turn insights into a comparison table
Use Notion AI to convert these summaries into a table showing tone, audience focus, content format and value proposition.Surface content gaps
Ask ChatGPT to propose 10 content gaps your competitors ignore and score them by potential impact.Design quick campaign concepts
Select the top 2 gaps and generate draft campaign concepts using Canva or Figma templates for fast visual mockups.Create a shared review hub
Drop all outputs into a shared doc for team review, comments and quick refinement.
Pro tip: Swap competitor URLs for your own site to turn this workflow into a monthly content audit that keeps messaging sharp.
Trending AI Tools For Marketers
Here are 4 trending tools to explore this week — quick, practical upgrades to your AI marketing arsenal:
✍️ Blaze – Lets solo marketers or small teams generate content quickly in their brand voice. This is a handy hack for social or content-heavy campaigns.
🔗 Context Link – Makes AI tools smarter by connecting them to your docs, Notion boards or site content. This helps keep brand voice and context consistent across AI outputs.
🎬 CyberCut AI – Turns long or raw footage into social ready clips with captions and edits so you can ship more video content without a full edit team.
📈 Aha – Acts like a 24/7 AI influencer marketing employee that finds creators, handles outreach, contracts and reporting so you only focus on approvals and strategy.
