AI in Marketing

If there’s one thing recent SEO and GEO studies have confirmed, it’s that YouTube is now one of the top domains referenced by LLMs. 

People would rather watch answers than read them, and according to Datos, YouTube searches aren’t plateauing. They’re growing significantly, steadily pulling search intent away from text-first platforms.

So why are so many marketing professionals avoiding this opportunity for YouTube growth?

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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 information and build AI recommendations are completely invisible.

Until now.

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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 test them, most fall apart. Not because the tactics are completely wrong, but because they’re presented without context, caveats, or an honest assessment of what changed since they stopped working.

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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 tool and filter by volume, you’re systematically ignoring what ChatGPT, Perplexity, and Gemini are searching for.

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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 MQL flow, and realizing you may have over-scored or under-scored in ways that ripple through your ABM funnel. 

The problem isn’t the tool. It’s the approach.

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Brainstormed personas are obsolete. They’re slow to build, easy to forget, and completely disconnected from how people actually buy because they’re built on opinions, instead of data.

AI-built customer avatars replace guesswork with proof, pulling live buyer data and cross-checking insights across multiple AI models, evolving with every sale.

These systems define who to target, what to say, and how to win before a single ad goes live.

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B2B audience research shouldn’t be a luxury item. If insights require a massive budget, most teams will never get them. 

You don’t need a six-figure research sprint to learn what people want. The conversations you need are already public, sitting on Reddit, LinkedIn, review sites, and forums, waiting to be mined. The only thing stopping most marketers is habit and a misguided belief that market research needs an agency badge to be legitimate.

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AI agents for B2B marketing

Automate content, SEO, and ads. Add buyer strategy, content funnels, apps, and AI readiness.

This program is designed to keep you up-to-date with B2B marketing and AI.

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