of B2B buyers bought from a brand they had never heard of — because AI recommended it.

And the brands that haven't noticed yet are about to feel it in their pipeline.

Here's what the data actually looks like right now.

In March 2026, G2 surveyed 1,076 B2B decision-makers on how they research vendors.

51% said they now start their research in an AI chatbot more often than Google.

In April 2025, that number was 29%. That's a near-doubling in under a year.

But the number that stops me is this one: 69% of buyers chose a different vendor than they originally planned — because of what an AI recommended.

And 33% bought from a brand they had never heard of before the AI surfaced it.

Think about what that means. A buyer opens ChatGPT, types a question about their problem, and walks away with a vendor recommendation. No search results page. No clicking through ten links. No comparison shopping the way we've known it for 20 years.

One answer. One name. Done.

The uncomfortable question.

When your ideal customer asks ChatGPT or Perplexity about the problem your business solves — does your brand show up? Most businesses don't know. And the ones that have checked are often surprised.

That means most businesses are absent — or worse, misrepresented — during the most consequential phase of the modern buying journey.

Why traditional SEO isn't enough anymore.

This isn't about abandoning SEO. Traditional search is still valuable and will remain so. The issue is that AI search and Google search use fundamentally different signals.

80% of URLs cited by AI search don't even rank in Google's top 100. You can have perfect traditional SEO and be completely invisible in AI answers — and vice versa.

By 2026, 67% of information discovery will happen through LLM interfaces. That's not a prediction. That's where the trajectory is pointing based on current data.

So what actually works?

AI visibility isn't random. It's buildable. And it follows a logic you can design for. The brands that show up consistently in AI answers have four things in common:

• They answer questions directly. AI systems reward content that leads with the answer. 44.2% of all AI citations come from the first 30% of a piece of content. If your key point is buried in paragraph six, the AI won't find it.
• They have a consistent presence across the web. AI models build trust signals from multiple sources. A brand mentioned in industry publications, forums, Reddit, and its own authoritative content is far more likely to be cited than a brand that only exists on its own website. Earned media placements in credible publications get cited by AI engines 82–89% of the time.
• They use structured content. FAQ sections, clear definitions, comparison content, and schema markup give AI systems the structured signals they need to confidently cite a source.
• They treat different AI platforms differently. ChatGPT, Perplexity, Google AI Overviews, and Claude all pull from different source sets and favor different content formats. What works on one won't automatically transfer to another.

The window is open. But it's narrowing.

Right now, most of your competitors have an AI visibility score of 28 out of 100. The brands that build their AI presence now — while the gap is this wide — will establish a compounding advantage that gets harder to close over time.

This isn't about chasing an algorithm. It's about making sure that when your next customer asks AI a question you should be answering, your brand is the one in the response.

If you want to know where your brand stands in AI search right now — let's talk for 15 minutes.