The Transparent Seller

You are entering a race that is already over

There is that feeling in the meeting. The questions are friendly, everyone nods, and still something is off. As if you were playing a part in a play whose ending is already written.

The feeling is not deceiving you. By the time your buyer first calls, most of the decision sits behind them and their shortlist is sorted. In the end they almost always buy from someone who was on that list on day one.

The meeting you were invited to is no longer an opportunity. It is a confirmation.

Your buyer is talking about you. Just not to you.

They are asking a machine. It has read your website, your reviews, and your competitor's alongside them.

One in two B2B software buyers now starts research there rather than with Google. A year ago it was one in three. And seven in ten ended up choosing a different vendor than planned, because the assistant took them there.

There was no meeting you could have prepared better for. No objection you could have countered. Everything general about you had been said before you entered the room.

A seller who delivers information is a slower search engine.

Off-the-shelf AI gets you into the game, not ahead

So we buy AI as well. Do that. Anyone not using AI in sales today is losing pace, immediately. It is the right first step, and there is no way around it.

It just remains a step everyone takes. Both sides buy the same technology, trained on the same internet, with the same answers to the same questions.

Gartner asked buyers who they expect misleading information from: the AI or the sales rep. Two percentage points separate them. Your best seller is barely more trusted than a machine.

Off the shelf fits a lot of things. Never the decisive one. A tool everyone has sets no one apart.

AI gets interesting the moment you connect it to what only you have: your market, your customers, your history, the reasons decisions fall the way they do in your business. It is not the model that makes the difference, it is the knowledge you put into it.

What is left appears nowhere

Think of the person in your sales team who has been there twenty years. Who reads an enquiry and says after thirty seconds: we are not bidding on that. Ask why and you get a shrug. They just know.

They do not just know. They earned it across hundreds of proposals, won and lost. It simply never occurred to anyone to ask them about it.

Why you won the deal in March and lost the one in May. Which objection comes up every single time, and at minute forty rather than minute ten. Where your price ceiling actually sits.

That is the unwritten. No model has read it, no competitor can buy it. And it carries an expiry date that appears in no calendar: the day that person retires.

And your own AI does not know it either

Your AI knows the internet. It does not know your business.

It does not know why the March deal came and the May deal went. It does not know your competitor, your price ceiling, that one objection. To your specific questions it gives fast, general answers. That feels like progress, which is exactly what makes it dangerous.

In Germany, barely one in ten AI-using companies applies AI to internal knowledge management. The knowledge that decides deals still sits in people's heads and in systems that do not talk to each other.

So the task is not to roll out AI. It is to capture your own knowledge in a form a machine can work with. That is less comfortable, takes longer, and cannot be bought as a licence.

One consolation: in the US, buyers already run agentic AI more often than suppliers do. Here it is still the other way round. So you do not have a problem. You have a window.