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LATEST ARTICLES


  • AI Overwhelm: Why marketers are burning out trying to learn AI

    When it comes to AI adoption, the dominant narrative amongst marketers is that they’re falling behind.  That every new tool, every new model, every new AI marketing workflow announced on LinkedIn is a gap you need to close—now. And the more you scroll, the more that feeling compounds.  The anxiety […]
  • GitHub for marketing: Build AI systems that actually scale

    More than 150 million people use GitHub. Developers created more than 230 new repositories every minute last year, and there are 4.3 million AI projects on the platform. Most of those users are still developers. But the profile is shifting.
  • Why your pages aren’t surfacing in ChatGPT citations (And how to fix it)

    ChatGPT skips web search entirely on roughly 65% of queries. This means (optimized or not, indexed or not), if the model already has the answer, the content you published last Tuesday never had a shot. The AI search optimization industry has built an entire content category around a behavior that […]
  • How to build a competitor ad intelligence tool (and catch who’s bidding on your brand)

    You already know competitors are targeting category keywords—it’s baseline and relatively easy to monitor. What most paid search teams don’t have visibility into is who’s bidding on their brand terms. Not their category but their name, and it happens more than you’d expect.
  • A simple framework for teaching LLMs your tone and style

    For the past two years, the dominant advice in B2B content marketing has been some version of: be careful with AI. Don’t let it water down your brand. Keep a strong human in the loop. Avoid the slop. That advice made sense when it was speculative. It makes less sense […]

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