If there's one word that defined this week in AI marketing, it's agents. Not the human kind — the AI kind that plan, execute, and optimize without waiting for you to click a button. NVIDIA just open-sourced its enterprise AI agent platform. Perplexity claims its AI agent replaced a $225,000 marketing stack in a single weekend. Microsoft's Copilot Cowork is now running errands across your entire Office suite. And Anthropic just dropped $100 million to make Claude the backbone of enterprise AI.
But here's the stat that stopped me cold: 60% of consumers now use AI weekly... yet only 13% fully trust it. That gap? That's where every smart marketer should be focused right now.
Let's dive into everything you need to know.
📍 In Today's Issue:
NVIDIA goes open source on AI agents — and why marketers should care
Perplexity's bold "$225K stack replacement" claim (and what it actually means)
Klaviyo's new research reveals 4 AI consumer personas reshaping strategy
Webflow acquires Vidoso.ai to solve AI's brand governance problem
7 new and updated AI marketing tools worth exploring
A pro tip for building your AI reputation score
📈 Today's Top AI Marketing Story
NVIDIA Goes Open Source on AI Agents — And It Changes Everything
Here's what caught my eye this week: NVIDIA, the company that already powers the hardware behind nearly every AI model, is now going after the software layer too.
Their new platform is called NemoClaw — an open-source framework for building enterprise AI agents. Think of it as the foundation layer that lets businesses deploy AI systems that can reason through problems and take action without constant human supervision.
Now, this is interesting for several reasons.
First, NemoClaw is hardware-agnostic. That means companies can run it whether they're on NVIDIA chips, AMD, Intel, or even CPU-only setups. NVIDIA is essentially giving away the software to own the ecosystem — a move that should sound familiar to anyone who watched Android dominate mobile.
Second, the security story matters. NemoClaw includes multi-layer security safeguards, built-in privacy controls, audit logs, and permission systems. With Gartner estimating that more than four in ten agentic AI projects will fail by 2027, the enterprises that succeed will be the ones that start with security-first frameworks.
Third — and this is the big one for marketers — agentic AI spending is projected to hit $28 billion by 2027. NVIDIA is positioning NemoClaw as the open-source backbone for that entire market. Companies like Salesforce, Cisco, Google, Adobe, and CrowdStrike are already in partnership discussions.
The official unveiling happens at GTC 2026 next week (March 15–19 in San Jose), with CEO Jensen Huang delivering the keynote on March 16.
🎯 KEY TAKEAWAY
This isn't just a developer story. When enterprise AI agent platforms go open source, it means the tools your competitors will use to automate campaign management, content workflows, and customer engagement are about to get dramatically more accessible — and more affordable. Start exploring agentic frameworks now, even if you're not deploying them yet. Understanding the architecture gives you a head start when these tools hit mainstream marketing platforms later this year.
⚡ Quick Action Tip: Bookmark the NemoClaw documentation and follow NVIDIA's GTC 2026 announcements next week. The partnerships announced there will signal which marketing platforms get agentic AI capabilities first.
🚀 AI Marketing Quick Hits
Perplexity "Computer" Goes Enterprise — Claims It Replaced a $225K Marketing Stack
Perplexity just held its first-ever developer conference (Ask 2026) and dropped a bombshell: its multi-model AI agent, Computer, is now available to enterprise customers. The headline claim? It replaced $225,000 per year in marketing tools in a single weekend — scanning campaigns hourly, managing budgets, detecting creative fatigue, and making 224 micro-optimizations across an $8 million ad spend.
Even more notable: Perplexity also launched Personal Computer, software that runs 24/7 on a Mac mini with persistent access to your local files, apps, and sessions. Imagine an always-on AI marketing assistant that monitors triggers and executes tasks while you sleep.
The global agentic AI market is projected to grow from $9.14 billion in 2026 to $139 billion by 2034.
Why This Matters: Whether or not the "$225K replacement" claim holds up across all use cases, the direction is clear — AI agents that can manage cross-platform campaign optimization autonomously are here. Performance marketers running campaigns across Meta, Google, and TikTok should be watching closely.
✅ Action Item: If you're a Perplexity Max subscriber ($200/month), you can access Computer today. Start by having it audit one ad campaign across a single platform before scaling. For everyone else, this is a preview of where the entire industry is headed.
Klaviyo Reveals 4 AI Consumer Personas — The Trust Gap Is Real
Klaviyo just released its AI Persona Research based on a study of nearly 8,000 consumers globally, and the findings should reshape how you think about AI-powered marketing:
The 4 AI Consumer Personas:
Enthusiasts (26%): All in on AI. 43% have purchased multiple products they didn't know about based on AI recommendations.
Evaluators (43%): The biggest group. Open to AI but won't fully lean on it.
Skeptics: Aware of AI but actively cautious.
Holdouts: Not engaging with AI tools at all.
The headline numbers: 60% of consumers use AI weekly, 41% have bought something AI recommended in the past six months, and AI-referred traffic from ChatGPT and Gemini surged 1,936% year-over-year on Klaviyo's platform.
But only 13% fully trust AI. And nearly one in five shoppers spot sloppy AI content every week — with 32% saying it drops their confidence in the brand.
Why This Matters: Adoption isn't the challenge anymore. Execution quality is. Two audiences with identical demographics can respond completely differently based on their AI trust level. The Evaluators (43% of your audience) are the swing voters — win their trust, and you win the market.
✅ Action Item: Review your AI-generated content through the lens of these four personas. Are you calibrating tone and transparency for the 43% who are open but skeptical? Start by auditing your last 5 AI-assisted emails for anything that feels generic or "off-brand."
Anthropic Drops $100M on Claude Partner Network + Launches Claude Marketplace
Two major moves from Anthropic this week. First, the Claude Marketplace launched in limited preview — an enterprise app store where every product runs on Claude. Six launch partners include Snowflake, GitLab, Harvey AI, Rogo, Replit, and Lovable Labs. Companies with existing Anthropic spend commitments can redirect budget toward partner tools — one bill instead of twelve.
Second, and arguably bigger: Anthropic committed $100 million to a new Claude Partner Network, with Accenture (training 30,000 professionals on Claude), Deloitte, Cognizant (opening Claude access to 350,000+ associates), and Infosys as anchor partners.
Why This Matters: Anthropic is evolving from model provider to platform company. For agencies and marketing teams already using Claude, this simplifies procurement and centralizes AI spend. It also signals that Claude-powered tools are about to flood the enterprise market.
✅ Action Item: If your team uses Claude, talk to your Anthropic account rep about Marketplace access. The ability to consolidate AI tool spend under one commitment could meaningfully simplify your tech stack.
Webflow Acquires Vidoso.ai — The "Brand Governance" Problem Gets Solved
Webflow acquired multi-modal AI content platform Vidoso.ai on March 12, positioning itself as an "agentic web marketing platform." Vidoso's technology generates brand-aligned visual and video assets that respect established brand guidelines and approval workflows.
As Webflow CEO Linda Tong put it: the problem isn't the AI models — they're extraordinary. The failure is one of context. Frontier models don't know your brand guidelines.
Why This Matters: This acquisition addresses the exact problem Klaviyo's research highlighted — 32% of consumers lose confidence when they spot sloppy AI content. Governed AI content generation is becoming table stakes.
🔍 Featured AI Tool Spotlight
CommerceIQ AllyAI Agents — The Agentic Commerce Platform That Never Sleeps
What It Is: CommerceIQ just launched the industry's first suite of specialized AI agents for retail and ecommerce brands — four purpose-built agents (Content, Sales, Shelf, and Media) that move brands from dashboard-watching to continuous, AI-powered execution across every major retailer.
What Makes It Noteworthy: This isn't a general-purpose AI assistant bolted onto a dashboard. Each AllyAI agent is trained with brand-specific context and commercial priorities, operates transparently within brand-defined constraints, and connects content, retail media, search, inventory, and demand data across systems. In live customer deployments, CommerceIQ reports performance improvements of 10x to 100x in task speed and optimization volume compared to traditional workflows.
What You Can Do With It:
Content Agent: Identifies and resolves product detail page compliance and optimization gaps for SEO, AEO, and GEO — shrinking PDP update cycles from 35 minutes to 35 seconds
Sales Agent: Monitors performance against plan, flags risks, and recommends corrective actions through conversational prompts
Shelf Agent: Monitors content, availability, assortment, reviews, and search (CAARS) to create branded insight packs in seconds
Media Agent: Optimizes retail media performance using 50+ real-time signals at 40x the scale of traditional rules-based campaign management
Who It's For: Ecommerce brands and agencies managing high SKU counts across Amazon, Walmart, Target, Instacart, and other major retailers. Trusted by 2,200+ leading brands with a network of 1,450+ partners.
Pricing: Enterprise pricing — contact CommerceIQ for a demo.
The Bottom Line: Nearly 80% of retail leaders in CommerceIQ's own research said they're open to reallocating agency budgets to AI agents if recommendations are transparent and humans retain final control. That's the shift this platform is built for.
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🛠️ More AI Tools Worth Exploring
Ad Budget & Analytics Tools
Google Scenario Planner (Meridian) — No-Code Marketing Mix Modeling
Code-free interface that lets you test budget allocation scenarios and see real-time ROI estimates
Built on Google's open-source Meridian MMM framework — the same methodology used by enterprise brands
Shifts MMM from retrospective reporting to forward-looking investment planning
Operates within Looker Studio, familiar to most marketing teams already in Google's ecosystem
Free and open-source — currently in open beta
Supermetrics (March 2026 Update) — AI-Powered Marketing Data Activation
NEW: Data API access now included in all packages from Starter to Enterprise
NEW: "Liftoff" connector for mobile marketers to pull performance data and optimize CPI across apps
Granular widget-level dashboard filters with advanced AND/OR logic
AI-powered data chat for natural language querying of your marketing metrics 🔗 supermetrics.com
Ecommerce & Retail Marketing Tools
Feedoptimise AI Agent — Automated Product Feed Optimization
Newly launched AI agent that automatically optimizes product feed data for better visibility across shopping channels
Addresses a core pain point: poorly structured product feeds that tank ad performance
Designed for ecommerce brands running Google Shopping, Meta Catalogs, and marketplace listings 🔗 feedoptimise.com
Dotdigital + Alia Software (New Acquisition) — AI List Growth for Shopify
Dotdigital just acquired Alia Software to accelerate Shopify expansion
Captures first- and zero-party data from anonymous visitors and activates it across email, SMS, and other channels
Converts browsers into subscribers at the start of the customer journey — before they bounce 🔗 dotdigital.com
Content & Creative Tools
Mastercard Verifiable Intent — Trust Layer for AI Agent Commerce
Brand-new protocol that creates cryptographic proof of authorization when AI agents make purchases on behalf of users
Aligned with Google's Agent Payments Protocol and Universal Commerce Protocol
Critical for any brand preparing for agentic commerce — establishes a tamper-resistant record of what users actually authorized
Not a marketing tool per se, but essential infrastructure for the AI shopping agent future 🔗 mastercard.com
How Jennifer Aniston’s LolaVie brand grew sales 40% with CTV ads

For its first CTV campaign, Jennifer Aniston’s DTC haircare brand LolaVie had a few non-negotiables. The campaign had to be simple. It had to demonstrate measurable impact. And it had to be full-funnel.
LolaVie used Roku Ads Manager to test and optimize creatives — reaching millions of potential customers at all stages of their purchase journeys. Roku Ads Manager helped the brand convey LolaVie’s playful voice while helping drive omnichannel sales across both ecommerce and retail touchpoints.
The campaign included an Action Ad overlay that let viewers shop directly from their TVs by clicking OK on their Roku remote. This guided them to the website to buy LolaVie products.
Discover how Roku Ads Manager helped LolaVie drive big sales and customer growth with self-serve TV ads.
The DTC beauty category is crowded. To break through, Jennifer Aniston’s brand LolaVie, worked with Roku Ads Manager to easily set up, test, and optimize CTV ad creatives. The campaign helped drive a big lift in sales and customer growth, helping LolaVie break through in the crowded beauty category.
💡 Pro Tip of the Day
Build Your "AI Reputation Score" Before Your Competitors Do
Here's something most marketers are sleeping on: in 2026, AI assistants don't show options when users ask for help — they select a provider they can justify. Behind that decision is a verification process that pulls from your Google Business Profile, service descriptions, pricing, reviews, hours, and directory data.
Your brand's "AI reputation" — how AI systems describe and recommend you — is now as important as your website or ad campaigns.
Here's how to start building yours:
Step 1: Search for your brand in ChatGPT, Perplexity, Gemini, and Google AI Mode. Document exactly how each AI describes your business. Note any inaccuracies, missing information, or competitors mentioned instead.
Step 2: Audit your structured data. Make sure your Google Business Profile, schema markup, FAQ pages, and product descriptions are AI-readable — clear, factual, and comprehensive. AI systems favor content designed for extraction, not just human reading.
Step 3: Invest in third-party mentions. AI models heavily weight authoritative external sources — press mentions, industry directory listings, review platforms, and expert citations. Get your brand mentioned in the sources these models trust.
Step 4: Create "answer-first" content. Write content that directly answers the questions your customers ask AI assistants. Structure it with clear headers, concise answers, and supporting detail — exactly the format AI models prefer to cite.
📊 Success Metric: Track your brand's AI visibility monthly — search for your top 10 customer questions across ChatGPT, Perplexity, and Google AI Mode. Measure how often your brand appears in the generated answers vs. your competitors. Aim to increase your citation rate by 25% over 90 days.
⚡ Supercharge Your Ad Targeting With AI
Speaking of putting AI to work — all these agentic breakthroughs are exciting, but you don't need to wait for NemoClaw or Perplexity Computer to start using AI for better ad targeting today.
KeywordSearch.com's AI Audience Builder does something deceptively simple but incredibly powerful: it uses AI to generate laser-focused audiences for your Google and YouTube Ads campaigns, then syncs them to your ad accounts in one click.
While the industry debates which AI agent framework will win, you can be putting AI-powered targeting to work right now:
✨ What You Get:
AI Audience Builder — Generate high-intent audience lists in minutes, not hours
One-Click Google & YouTube Ads Sync — No manual uploads, no CSV exports, no platform-hopping
Competitor Targeting Insights — See what's working in your niche and build audiences around proven strategies
The average marketer spends 5+ hours per week on audience research. KeywordSearch cuts that to minutes.
But here's what I keep coming back to: the 60% usage / 13% trust gap from Klaviyo's research. The winners in this next chapter won't be the teams with the most AI tools. They'll be the ones who use AI with the most clarity about what those tools can and cannot replace.
Use AI to move faster. Use human judgment to move smarter. That's the formula.
Until next time,
Aleric & Greg KeywordSearch.com
P.S. Curious how AI can supercharge your ad targeting? Take KeywordSearch for a test drive with our unlimited 5-day free trial and see for yourself. The AI Audience Builder creates targeted audiences in minutes — no manual research required. Start free here →
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