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LATEST ARTICLES
ChatGPT’s hidden search queries: What they reveal about LLM recommendations
People aren’t just Googling anymore; they’re asking ChatGPT, Claude, and Perplexity to make decisions for them. “What’s the best CRM for startups?” “Which landing page builder should I use?” The challenge is that you can’t see where ChatGPT looks before it picks a winner: the queries it uses to retrieve […]
3 AI tactics worth testing (And the ones that’ll waste your time)
The problem with B2B AI marketing tactics right now is that everyone’s selling certainty in a system that’s changing weekly. LinkedIn is drowning in posts about “guaranteed” AI strategies: screenshot after screenshot of viral wins, tools that “definitely” get you ranked, and carousels that “always” perform. But when you actually […]Content strategy for AI search (Why keyword planning doesn’t work)
Planning content around search volume data alone while LLMs are running numerous backend queries is the fastest way to miss out on content opportunities. Seer Interactive found that 95% of the queries that answer engines actually execute have zero tracked search volume. Zero. So every time you open your keyword […]HubSpot isn’t your scoring engine. Your data is. (Get ABM fit with AI lead scoring)
You’ve been there. You start building lead scoring in HubSpot or Marketo, and immediately fall into dropdown purgatory: endless clicking through menus, assigning point values to job titles, email opens, and webinar attendance. Weeks later, you launch it. Before you know it, you’re stuck QAing, checking how your rules affect […]Opt-in first ABM strategy: Why your best ABM plays start after the lead converts, not before
You did the hard part: built a tight lookalike list (with 500 accounts, maybe more) with all the right firmographics, technographics, and buying signals. Then you fire up on outbound, treating the whole list like it’s net-new. That’s where the money starts quietly evaporating.
