SEO used to be about visibility. Now it’s about credibility.
Discovery is shifting from keywords and rankings to AI-driven chat experiences.
The real advantage, however, isn’t training AI to recognize your brand in these experiences, but to recommend it.
That’s the shift.
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.
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.
Personalization used to mean effort. Now, it means intelligence.
But somewhere along the way, ABM personalization turned into a checkbox, with marketers labeling “Hi [First Name]” personalization and calling it a day.
That’s not personalization. It’s Mad Libs marketing. And even though the intent may be right, the execution is painfully generic.
Buyers don’t care that you know their name. They care about connection; that you understand their reality.
Most B2B teams say they’ve “automated,” when what they’ve really done is stitch together fragile hacks that break the second you scale. And as leads vanish and sales ignores marketing’s handoffs, campaigns run like isolated experiments with no system behind them.
There’s no such thing as 100% automation. The second you remove human oversight and documentation, your stack will collapse under its own weight.
Search has gone through many changes, but nothing compares to the shift AI has brought.
It’s not enough for businesses to understand how search works today; they need to implement real changes to their strategies in ways that actually reflect how people now find answers.