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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:
Limy raises funding to help brands win visibility inside AI agent answers
Meta leans harder into AI-driven feeds as ad performance becomes the main event
Perplexity says it is growing without the usual “growth hacks”, betting on earned attention instead
Plus: Digiday explains why trust is now the hidden tax on AI efficiency, Wharton shows how brands can use AI without flattening distinctiveness and today’s training shows you how to ship a multi-platform social calendar in 30 minutes.
The Top 3 Stories
1. Limy raises to help marketers track and improve how they show up inside AI agent answers
Search is quietly turning into “AI citations”, and Limy wants to be the analytics layer for that shift. If an agent is recommending vendors, products, or sources, Limy tracks whether you are mentioned and why. It is SEO-adjacent, but the KPI is closer to share of answer than rank position.
Why it matters: If AI agents become a real discovery layer, performance will hinge on being quotable, not clickable. Content ROI will increasingly matter even when the user never lands on your site. 📰 Business Insider [paywall] and VentureBurn
2. Meta doubles down on AI-ranked feeds as it squeezes more performance from ads
Meta’s latest results make one thing clear: the feed is now a machine-learning product first, social second. More AI-driven ranking is designed to keep attention high and inventory monetisable. For marketers, that means success depends less on followers and more on creative that wins in predictive feeds.
Why it matters: When distribution is algorithmic by default, creative throughput and consistency become core advantages. It also pushes brands towards formats machines favour, not always what humans remember. 📰 The Verge
3. Perplexity claims it is growing through PR and product, not the usual growth playbook
Perplexity is betting on earned coverage and product credibility rather than funnel-heavy growth tactics. The idea is simple: if your answers are trusted, journalists and creators do the distribution for you. In AI, legitimacy and reach are increasingly linked.
Why it matters: Brand building is back, but the mechanics have changed. Authority, citations, and narrative control now outperform clever retargeting in crowded categories. 📰 Digiday
What makes a great ad in 2026?
If you want to know the core principles of high-performing advertising in 2026, join our educational webinar with award-winning creative strategist Babak Behrad and Neurons CEO & Founder Thomas Z. Ramsøy.
They’ll show you how standout campaigns capture attention, build memory, and anchor brands. You’ll walk away with clear, practical rules to apply to your next campaign.
You’ll learn how to:
Apply neuroscientific principles to every campaign
Build powerful branding moments into your ads
Make your ads feel relevant to your audience
Master the art of high-impact campaigns in an era of AI-generated noise and declining attention spans
More trending AI marketing news from last week
Anthropic launched interactive “apps” inside Claude, nudging marketers towards in-chat workflows rather than yet another tab.
Airtable unveiled Superagent, signalling that the next wave of marketing ops tooling may ship as agents, not dashboards.
Phia raised $35m to build an AI shopping agent, a reminder that product discovery is being rebuilt as conversation plus intent.
Humans& raised a massive seed to build coordination-focused models, pointing at a near future where “team alignment” is an AI feature.
Quote Of The Week
Marketers are caught between the pressure to adopt AI for efficiency and a growing audience distrust of anything that feels automated."
Trending AI Tools For Marketers
Here are 4 trending tools to explore this week. Quick, practical upgrades to your AI marketing arsenal:
📅 Cue – Schedule and tailor posts across multiple social platforms from one dashboard, built for lean teams who cannot babysit calendars.
🧩 JDoodle.ai – Clone a landing page into an editable site fast, useful for rapid campaign variants without begging design for “one more tweak”.
📝 PingPolls – Build AI-driven forms that feel natural and reduce drop-off, handy for lead capture that does not scream “survey fatigue”.
⚙️ Leapility – Turn repeatable marketing processes into AI playbooks so handovers and execution stop living in someone’s head.
TV, Podcasts & Streaming
Wharton Business Daily Podcast – AI is changing the way brands connect with customers
This episode breaks down how marketers can use AI for customer relevance without stripping out what makes a brand distinctive. It also hits the uncomfortable part: AI can make you faster, but it can also make you sound like everyone else if you do not enforce creative constraints. Worth a listen if you are trying to balance personalisation with brand equity - watch it here.
AI Training
Build a 2-week multi-platform content calendar in 30 minutes with Cue
The overview: Using Cue, you will turn one campaign idea into a scheduled, platform-tailored content plan across your social mix, with captions generated and queued for best times automatically.
Step-by-step:
Set calendar
Create a new calendar and add key campaign dates, offers, and links so you have a single source of truth for the fortnight.Draft pillars
Write one core post per theme (product, proof, insight, personality), then use Cue’s AI assistant to generate 3 caption variants per post for different angles.Tailor formats
Convert each core post into platform-specific versions by shortening, reformatting, and adjusting the call to action to match native behaviour.Auto schedule
Turn on auto-scheduling to place posts at predicted high-engagement times, then override only the ones that must land at a specific hour.Share plan
Export or screenshot the calendar for stakeholders, and keep one spare slot every few days for reactive moments.
Pro tip: Save your best-performing caption patterns as reusable templates so every new campaign starts from proven hooks rather than blank-page optimism.
The Weekly Deep Dive
Brand building in the age of AI is now a measurement problem, not just a creative one
AI is changing how people discover, evaluate, and trust brands, often without ever clicking through to your site. That means your measurement stack needs to catch up with reality, not nostalgia.
Search and discovery gets abstracted
When answers are summarised, the user journey is shorter and harder to observe. Visibility becomes about being included in the answer set, not just ranking well. Marketers will need new proxies for presence when traffic is no longer the only proof. The shift rewards clear positioning and consistent signals across the web.
Personalisation becomes cheap, differentiation becomes expensive
AI makes it easy to tailor messages at scale, which also makes “samey” marketing explode. Brands that do not set constraints will drift into generic copy that performs fine and feels forgettable. The advantage moves to teams that can define what must never change, even when everything is automated. Consistency becomes a creative strategy, not a brand guideline PDF.
Measurement has to move beyond last-click comfort
Attribution will get noisier as more interactions happen inside AI interfaces and walled experiences. Marketers will need to triangulate impact using incrementality, brand health signals, and downstream behaviour, not just platform-reported conversions. This pushes organisations towards fewer, better experiments instead of endless micro-optimisation. The teams that win will be the ones who can prove impact credibly, not just report it loudly.
Our takeaway: AI will happily optimise you into beige. The brands that win will measure what matters, protect what makes them distinctive, and build for being referenced, not merely visited.
📖 Read the full article on The Wall Street Journal
That’s it today!
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