Tarek Reslan

When it comes to AI, most of us are already using it in one way or another. While marketers may lean on it for data analysis, to clean up some copy, or automate repetitive tasks, most marketers primarily use it as a search engine.

Whether it’s ChatGPT, Claude, or Gemini, chances are you’ve already used one of these tools to research something. But what if, instead of using existing AI to gather insights on your audience, you could build your own AI research tool?

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2025 marked a turning point for organic search. The rise of Google’s AI Overviews has led to a noticeable drop in traditional organic clicks. It didn’t just change how content is sourced in search but how search engines decide what content to pull or cite.

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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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The old funnel’s basically dead. Buyers aren’t clicking their way through journeys anymore. They’re discovering brands in places where clicking is optional or nonexistent: AI summaries, LLMs, LinkedIn feeds, and Reddit-style threads. That’s where the momentum starts: where people shape what’s trusted, repeated, and remembered.

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Buyers spend more time talking to LLMs than to coworkers. (and that’s not an exaggeration).

Users ask AI everything from product recommendations to internal research questions. Whether marketers realize it or not, LLMs are already part of the buying process.

When a model becomes the first advisor a buyer consults, your biggest leverage is simple. Make sure the AI knows how to sell your product. If you don’t, someone else will train the narrative first.

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AI agents for B2B marketing

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