AI chat is quietly replacing Google for B2B research | Leveret Drive

AI chat is quietly replacing Google for B2B research

The shortlist is now being built somewhere you cannot see, by a system that has never visited your website.

Jon Usborne
· 9 min read
A laptop open to a chat interface in low light

Here is a shift that happened without much announcement.

A buyer with a problem used to open a search engine, type the category, and work through a page of results. They would land on four or five sites, compare, and pick a couple to contact. Your site got a shot at persuading them.

Now a lot of them open a chat instead. They describe the problem in their own words, ask who handles this kind of thing, ask what they should be looking for, ask what it usually costs. They get a short answer with three or four names in it.

Then they go look at those three or four. If you are not one of them, you never enter the process.

Why this is worse than losing a ranking

Losing a ranking is visible. You check, you see position eleven, you know what happened.

This is invisible. There is no report showing the deals where a model described your category and did not mention you. Your analytics look normal. Your close rate on the leads you do get might even improve, because the people who reach you now arrive better informed. Everything looks fine while the top of the funnel narrows.

The first sign is usually anecdotal. A prospect mentions they asked an assistant for recommendations. A competitor you have never lost to starts showing up in more deals. Nobody connects it to anything for a while.

What models actually need from you

This is less mysterious than the software vendors would like it to be.

A model builds a picture of you from text. It needs to be able to state, in a sentence, what you do, who you do it for, where you do it, and what makes you a reasonable answer to a particular question. If that sentence cannot be assembled from what exists about you online, you are not a candidate.

Most sites make this harder than it needs to be. The homepage says something atmospheric about partnership and growth. The services page describes a process instead of an outcome. The company name barely appears in body copy because the logo is right there at the top.

If a stranger could not summarize what you do from your website in one sentence, neither can a model.

The three fixes that matter most

Say the plain thing, in plain words, with your name in it

Somewhere near the top of your key pages there should be a sentence a machine could quote directly. Company name, what you do, who for, where. It feels almost too obvious to write. Write it anyway.

Answer the questions buyers actually ask

Not keyword phrases. The real questions. What does this cost. How long does it take. What do you need from us. What happens if it does not work. Those are the questions people put into a chat, and pages that answer them directly get used as source material.

Exist somewhere other than your own site

This is the part most businesses have neglected. Models pull from directories, review platforms, industry roundups, forums, podcast notes, local business listings, anywhere your category gets discussed. A company mentioned in ten places has a much stronger profile than one mentioned only on its own domain, regardless of how good that domain is.

How to check where you stand

Open a chat assistant. Ask it the questions your buyers would ask, in their words, not yours. Who does this kind of work in this area. What should I look for when hiring one. Who are the good options for a company like mine.

Do it in two or three different assistants, because they do not agree with each other. Write down who gets named and what gets said about them.

That takes twenty minutes and tells you more about your current position than most audits. If your competitors show up and you do not, you now know what you are working on this quarter.

The part that is actually reassuring

None of the work here is exotic. Clear writing, direct answers to real questions, and a presence in the places your industry gets talked about. That was good practice before any of this and it will be good practice after.

The difference is that the cost of skipping it used to be a slower climb. Now it is being absent from the conversation entirely.

What to take from this
  • Buyers increasingly build their shortlist in an AI chat before ever visiting a vendor website.
  • This loss is invisible in analytics, so it usually goes undiagnosed for months.
  • Models need a plain sentence stating what you do, who for, and where. Most sites never provide one.
  • Pages that directly answer cost, timeline, and process questions get used as source material.
  • Third-party presence matters as much as your own site. Models read the whole web, not just your domain.

Questions people ask

How do I know if AI assistants are recommending my company?

Ask several assistants the questions your buyers would ask, in your buyers wording, and record which companies get named. Assistants disagree with each other, so check two or three and repeat it monthly.

Why would an AI assistant leave my company out of a recommendation?

Usually because it cannot assemble a clear statement of what you do, who you serve, and where you operate from available text. Vague homepage copy and a thin presence outside your own domain are the most common causes.

Does this replace traditional SEO for B2B?

No. Search visibility still feeds AI answers, because many assistants retrieve live web results. The change is that being findable is no longer enough on its own. You also have to be describable in a sentence.

What content helps most with AI vendor recommendations?

Pages that answer the practical questions buyers ask out loud, including cost ranges, timelines, what the process involves, and who the service is not right for. Direct answers are more useful as source material than positioning copy.

Jon Usborne, founder of Leveret Drive
Written by

Jon Usborne, Founder

Jon runs Leveret Drive, where the team builds strategy, brand, websites, video, and demand systems for businesses that want to be the obvious choice.

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