HBR article: Preparing Your Brand for Agentic AI

We’ve been sounding the alarm on this at Markup AI for months, and now the data is catching up.

A recent Harvard Business Review audit of major LLMs just validated a critical shift: Machines are distorting brand reality. When Pernod Ricard ran the numbers, they found models miscategorizing Ballantine’s – very much a mass-market staple (and a decent scotch whiskey, though not my personal favorite, and not a high end one like Talisker or Oban) – as a prestige product.

Why is this an issue CEOs or even board members should care about?

Because the “customer journey” has fundamentally changed. With two-thirds of Gen Z and half of Millennials now using LLMs for product research, we’re witnessing the death of keyword stuffing and the birth of Share of Model.

For 20 years, we fought for the top link. But in the era of Agentic AI—where software doesn’t just search, it negotiates and buys—the rules of engagement are different. Agents don’t care about your SEO tricks. They care about your clarity.

This is exactly why we built Markup AI.

You can’t manually iterate your way to relevance in an LLM world. You need infrastructure. Optimizing for AI requires structural rigor, semantic precision, and absolute content governance. Without it, models won’t just ignore you—they’ll hallucinate your value proposition.

The future isn’t about being found. It’s about being understood.

Is your content ready to be read by a machine?

Read the full article here.