How B2B buyers research you in ChatGPT, and how to become the answer

A buyer with a problem used to open a search box and wade through a page of blue links. Now a lot of them open ChatGPT, Perplexity or Google's AI answers and type a plain question. Who is the best firm for this? Who actually knows this space? What should I be thinking about before I hire someone?

The AI answers in a few sentences. It names a handful of people and firms. The shortlist is formed before you knew the buyer existed.

So here is the only question that matters for a consulting, advisory or recruiting founder right now: when someone asks the machine about your category, does your name come up?

Why the research moved to AI

Buyers did not fall in love with chatbots. They got tired of ten open tabs and sales calls they did not ask for. AI hands them a short, readable answer with reasons attached. For the buyer, that is a shortcut. For you, it is a new gatekeeper.

And the gatekeeper shows up early. The 6sense 2024 Buyer Experience Report found that B2B buyers are nearly 70% through their buying process before they engage sellers. That means most of the deciding happens in places you never see, including the chat window.

When the AI gets asked about your category, your name is either in the answer or it is not. There is no page two.

How AI engines decide who to name

AI answers are built from what has been published. When someone asks who the go-to expert is in a field, the engine is not checking a directory or a paid listing. It is pulling from the people and firms that show up again and again, saying specific things, in a consistent voice, across sources it can read.

Three things tend to separate the names that get cited from the ones that do not:

• A body of work. One article is a data point. Dozens of posts, articles and newsletter issues on the same themes is a pattern the engine can recognize.
• Specific answers. Engines love content that answers a real question clearly. "How should a mid-size firm structure a retained search?" beats "Five thoughts on talent."
• Consistency of identity. Your name, your firm and your point of view need to line up everywhere: your site, your LinkedIn, your newsletter. Mixed signals get you skipped.

Notice what is missing from that list. Ad budget. Follower count. A viral moment. The machine rewards the expert who keeps publishing useful, specific material, which is good news for busy founders who would rather be right than loud.

The problem: your best thinking lives in client calls

Most founders of expertise-led firms are not short on ideas. They explain the same sharp frameworks to clients every week. They have opinions on pricing, hiring, scoping and what goes wrong in month three. All of it disappears the moment the call ends.

Meanwhile the competitor who publishes twice a week (and maybe knows half as much) is the one the AI quotes. Referrals built your business. They do not feed a language model.

The fix is not to become a full-time writer. Nobody running a firm has the hours. The fix is to capture the thinking you already do out loud, and get it published in the formats AI engines and buyers both read.

What a citable body of work looks like

If you want to be the answer, build a footprint that covers the places buyers and engines look:

• Articles on your own site that answer the exact questions buyers type into AI. These are the pages engines like ChatGPT and Perplexity can cite and link to.
• Social posts a few times a week, so your point of view is visible and repeated where your buyers spend time.
• Podcast episodes and short clips of you explaining things, which put a face and a voice to the name.
• A newsletter that lands in the inbox of people who are not buying yet but will be.

Each piece reinforces the others. The article gives the engine something to cite. The episodes, posts and clips make the name familiar. The newsletter keeps you top of mind until the buyer is ready.

Your own show, a body of work that compounds

This is the system we run. With the Network Podcast, you host your own show on the Marquee Network. We plan each episode and bring the structure. You talk the way you talk with clients. That is the part only you can do.

Then we do the rest. We edit and publish the episode to Apple, Spotify and YouTube, and turn it into 8 to 10 promo clips, an article on your site built for AI search, a carousel and episode graphics. Every episode adds another article built to be cited, in your voice, on your own domain. We promote each one across the network so it does not launch to an empty room.

Your time commitment is about an hour per episode. Your expertise does the heavy lifting. We handle the typing.

Consistency beats virality, especially here

The AI does not care that one post of yours got a lot of likes last spring. It cares whether you are a reliable, repeated source on a topic. That is a game of steady output, not lucky breaks.

It also pays off beyond search. The Edelman and LinkedIn 2024 B2B Thought Leadership Impact Report found that 73% of decision-makers say thought leadership is a more trustworthy basis for judging a firm's capabilities than its marketing materials. The same body of work that gets you cited also makes the buyer trust you before the first call.

If you are wondering how this connects to being known as the expert in a narrow space, we wrote about that in how to become the go-to expert in your niche.

Where to start this month

• Ask ChatGPT and Perplexity the questions your buyers ask. Note who gets named. If it is not you, you have your baseline.
• List the ten questions clients ask you most. Each one is an article waiting to be written.
• Make sure your name, title and firm read the same on your site and LinkedIn.
• Pick a publishing rhythm you can actually keep, or hand it to a team that will keep it for you.

When you are ready to have it run for you, take a look at the Network Podcast. Every episode includes an article on your own site built for AI search, on top of the clips, carousel and episode graphics.

Frequently asked questions