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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:

  • Anthropic’s marketing gambit turns into public feud with OpenAI and brand positioning

  • Snowflake and OpenAI ally on enterprise AI with a big partnership

  • AI bots are emerging as a powerful traffic source, changing how content gets discovered

  • Plus: AI training with PromptHub, a YouTube video breaking down AI agents in workflows, and four fresh tools that help marketers convert ideas into outputs and orchestrate workflows.

The Top 3 Stories

1. Anthropic escalates its branding and market battle with public Super Bowl ad attack

Anthropic is running Super Bowl ads explicitly mocking OpenAI’s decision to introduce advertising to ChatGPT, saying “Ads are coming to AI, but not to Claude,” in a bid to position its product as more trustworthy. OpenAI CEO Sam Altman publicly called the ads deceptive while preparing its own showcase of tools like Codex during the game. The clash is becoming more than advertising, and it is shaping how AI companies frame monetisation and user experience in public.

Why it matters: For marketing teams, the feud highlights that AI brands are now fighting not just for tech leadership but for emotional trust and brand positioning at mainstream cultural moments. 📰 Reuters

2. Snowflake teams up with OpenAI on a $200m enterprise integration

Snowflake announced a $200 million partnership with OpenAI to integrate advanced AI models directly into its cloud data platform, enabling firms to query enterprise data with natural language and AI agents. The collaboration lets organisations embed AI assistance into analytics, reporting and automation without coding, and expands across major cloud providers. Early adopters like Canva and WHOOP are already testing the integrations in analytics and insights workflows.

Why it matters: Marketers with data-driven strategies should watch how AI access to proprietary datasets becomes a competitive advantage for customer analytics and automated insights. 📰 CIODIVE

3. AI bots are becoming a major source of web traffic

A new report reveals that AI bots are now responsible for a meaningful share of visits across many publisher and retail sites, and they are increasingly pulling live information such as prices, availability and breaking news rather than simply scraping static pages. The shift means AI systems are behaving more like users, repeatedly returning for updates and fresh data. Publishers are beginning to treat bot visibility as a distribution channel in its own right.

Why it matters: Marketers may need to optimise content not only for humans and search engines, but also for AI retrieval systems that shape what answers consumers ultimately see. 📰 Wired

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More trending AI marketing news from last week

  • Anthropic released Claude Opus 4.6 with expanded multi-agent capabilities and a one-million-token context window aimed at enterprise use.

  • Google’s Discover changes are raising discrimination concerns as OpenAI experiments with advertising inside AI experiences.

  • Shopify introduced new AI features designed to help merchants automate storefront creation and marketing execution.

  • YouTube is testing AI tools that allow advertisers to generate creative assets from shorter prompts.

Quote Of The Week

The next era of AI marketing will not be won by showing what machines can do, but by clarifying what humans still own."

Angeli Gianchandani, Adjunct Professor at New York University, in The Washington Post, 8 February 2026

Trending AI Tools For Marketers

Here are 4 trending tools to explore this week. Quick, practical upgrades to your AI marketing arsenal:

  • ✍️ Copy.ai – AI copy and GTM workflows for emails, ads, landing pages, and social posts at speed.

  • 📅 Postiz – AI-assisted social scheduling that helps generate posts and manage multi-channel publishing from one calendar.

  • 📹 Gravity – An AI-powered video platform for capturing and sharing asynchronous video, audio and screen recordings with AI follow-ups.

  • 🗣️ Wispr Flow – Voice-to-text platform that speeds up content creation across apps.

TV, Podcasts & Streaming

I Replaced My Marketing Team With 3 AI Agents (Here’s The Workflow)

This walkthrough shows how a solo operator wires together specialised AI agents to handle research, planning and execution that would normally sit across multiple marketing roles. Rather than theory, viewers see the exact stack, prompts and hand-offs used to move from idea to output. It is a practical look at how quickly agent orchestration is becoming operational reality, even if your HR team might prefer you watch quietly. - watch it here.

AI Training

Turn Concept into Multi-Format Content with PromptHub

The overview: In this workflow you will use PromptHub to build a reusable prompt system that transforms a single campaign idea into platform-ready assets in under 30 minutes. By the end, you will have structured outputs for social, ads and content that can be repeated every launch.

Step-by-step:

  1. Create your campaign workspace
    Open PromptHub and start a new collection dedicated to the campaign or product you are promoting. This keeps variations, edits and results organised from day one.

  2. Build your asset prompt library
    Add structured prompts for each format you need such as paid headlines, organic captions, emails or landing page copy. Keep instructions tight so outputs stay consistent.

  3. Generate and label variations
    Run the prompts and create multiple versions for different channels or audience types. Tag them clearly so you can compare performance later.

  4. Select winners and activate
    Shortlist the strongest options, make light brand edits and export them into your scheduling or ad platforms. Your campaign now moves from idea to live assets in minutes.

Pro tip: Treat your highest-performing prompts like intellectual property and reuse them as your baseline for every future launch.

The Weekly Deep Dive

The shift from SEO to AI answer engines

AI systems are rapidly changing how discovery works. Ranking well is no longer enough if summarisation engines choose someone else’s answer.

AI summaries are becoming the front page
AI Overviews increasingly present users with direct answers before they ever reach traditional listings. This changes the value of position one because attention is captured earlier in the journey. Brands now compete to become the cited authority inside generated responses. Visibility depends on how easily machines can interpret your expertise.

Structure is strategy
Content that clearly signals intent, expertise and relevance is more likely to be surfaced. Schema, clean formatting and unambiguous answers help AI systems extract meaning. Pages built purely for keywords without clarity are losing ground. The winners make it effortless for models to quote them.

Authority compounds faster
Large language models lean towards sources that demonstrate consistency and depth. Strong brands with repeat coverage across a topic gain an advantage. Reputation now influences inclusion as much as optimisation tactics. Trust becomes a distribution channel.

Our takeaway: Discovery is shifting from blue links to chosen answers, and marketers must build content that machines trust as much as humans.

📖 Read the full article at Publicis Group

That’s it today!

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