Buyers are increasingly working out what a vendor is worth before the first sales call, often with an AI assistant. By the time your business case arrives, it is being compared with a number the buying team built themselves. The seller who can show their working and reconcile the two keeps control of the conversation.
Where does the buyer's number come from?
The buyer's number comes from work the buying team did before any seller was in the room: a spreadsheet put together before the first call, or an estimate someone got from an AI assistant. 6sense's 2025 study of nearly 4,000 B2B buyers found that first contact with a seller happens 61% of the way through the buying journey. By then the decision has taken shape: the same research found that 95% of the time, the winning vendor is already on the day-one shortlist.
Much of that early work now runs through AI. Forrester's 2026 research found that 94% of business buyers report using AI during their buying process. Ask an assistant what a tool like yours should save a company like theirs, and it will produce an estimate in seconds, whether or not the estimate has any basis. Robert Blaisdell, an analyst at Gartner, described the result at the firm's 2026 sales leader conference: "The buyer journey is basically split-brain now - buyers want AI for the cold, factual evaluation, and they prefer sales reps for trust and validation. They're delegating logic and craving connection at the exact same time."
So the buying team increasingly walks into your first meeting with a view of what you're worth already formed.
Why does the buyer trust their own number more than yours?
The buyer trusts their own number because they can see how it was built, even when it is the weaker estimate. It may use the wrong baseline or miss half the value, and yours may be far more careful. But the people in the room know where theirs came from, and they can't see where yours came from.
Forrester's 2026 research describes a purchase journey that is "more rigorous, more collaborative, and far less forgiving of claims without proof." A number with no visible working is exactly that kind of claim. That's why the buyer's own data sits at the top of the ladder in what evidence B2B buyers trust most, and a seller's claim sits near the bottom.
What happens when the two numbers don't match?
When the numbers differ and yours can't show its working, the meeting defaults to the buyer's. If the buyer's number is lower, the gap comes back as a discount request. If it's higher, it rarely helps, because nobody on the buying side argues your case for you. Either way, the seller has lost control of the one number the decision turns on.
Most business cases are built to be presented. A document built only to be presented has nothing to reconcile with, so it gets set aside in favour of the version the buyer understands.
What should a seller do instead?
The seller's job is moving from presenting a number to reconciling two. That changes what the business case has to be.
Ask for their number early. In discovery, ask whether the team has already estimated what solving the problem is worth, and how. Better to see their spreadsheet in week two than to meet it in the finance review.
Show your working. Write every value driver as an equation and every benchmark with its source, so the difference between the two estimates can be traced line by line.
Put their inputs into your model. Replace your defaults with the buyer's own figures wherever they have them. The case that comes out is partly theirs, and they defend what is theirs.
Agree the alternative first. Many gaps come from the two sides measuring against different baselines. Settle what the product is being compared with, including doing nothing, before comparing totals.
Gartner's research shows what this buys you. At the same conference, Gartner analyst Alyssa Cruz reported that "when buyers experience value affirmation from sales reps, 75% report a high-quality deal. Verification beats persuasion." Gartner also found that 69% of B2B buyers still prefer to validate AI-generated insights with a sales rep. Buyers still want a person in the room. They want one who can check the numbers with them. I made a related case earlier this year in why a value story built alone won't survive the economic buyer's review.
How does valueIQ help a seller reconcile the buyer's number?
valueIQ, the value intelligence software we build, gives the seller a business case made for the reconciliation meeting rather than the presentation. Each of the four moves above has something behind it, on every deal, in minutes, whether or not a value engineer is available.
What the seller has to do | What valueIQ gives them |
|---|---|
Ask for the buyer's number early | A discovery guide generated from the deal's value model, including a co-session version built for working through the numbers with the buyer, so discovery asks for the figures that drive the value |
Show the working | A value model behind every business case, with an equation for each value driver and a cited benchmark for each assumption. Every number in the story traces back to the model |
Put the buyer's inputs in | The buyer confirms their own figures directly in the business case. Each number is labelled as a market default, a figure the seller set, or one the customer confirmed, and confirmed numbers are never overwritten when the case is regenerated |
Agree the alternative | Value models for the competitors in the deal, compared side by side and driver by driver, so the conversation is about what each option is worth and not only what it costs |
Two things change for the seller. Before the executive review, they can see exactly which numbers the customer has confirmed and which are still defaults, so they know where the gaps will come from before finance finds them. And when the buyer's spreadsheet appears, the seller isn't defending a total. They're walking the buyer through a model the buyer has already partly filled in, with a copilot that knows the deal and can prepare them for the questions finance is likely to ask.
Frequently asked questions
What is a buyer-generated value model?
A buyer-generated value model is an estimate of a product's economic value built by the buying team rather than the vendor, often with help from AI. It sizes the expected benefit relative to the alternatives being considered. Buyers use it to compare vendors, and to check the numbers each vendor presents against their own view.
How do B2B buyers use AI when evaluating software?
B2B buyers use AI to research vendors, compare features and prices, and estimate what a product could be worth to them before contacting a seller. Forrester's 2026 research found that 94% of business buyers report using AI during their buying process, so more and more buyers arrive at a first meeting with a view already formed.
Do buyers trust AI tools that vendors provide?
Mostly not. At Gartner's 2026 sales leader conference, analyst Alyssa Cruz reported that only 33% of buyers rank supplier-provided generative AI, such as vendors' chatbots and AI assistants, as trustworthy. Her advice: buyers trust your content more than your bots. Use AI to help buyers make progress, not to sell at them.
What should a seller do when the buyer brings their own numbers?
Treat the buyer's numbers as an input, not a threat. Ask how they were built, agree the alternative both sides are measuring against, and put the buyer's figures into your value model in place of your defaults. Then trace any remaining difference driver by driver. A reconciled number is one both sides can defend.
How is AI changing value selling?
AI lets buyers estimate a vendor's value on their own, before any sales conversation. Value selling is therefore shifting from persuading the buyer with a finished number to reconciling the seller's estimate with the buyer's, openly and line by line. The seller whose working can be inspected keeps control of the conversation.
Reconcile, don't present
More and more often, the buyer will have a number before you do. Build yours so it can sit next to theirs and survive the comparison, and invite the buyer to check it.
See a business case built on a deal like yours, with the working shown. valueiq.ai
Sources
6sense, 2025 B2B Buyer Experience Report, 2025.
Forrester, Barbara Winters, The State Of Business Buying: Risk-Averse Buyers Demand Proof, Not Promises, 21 January 2026.
Gartner, Gartner CSO & Sales Leader Conference, Day 1 Highlights, 19 May 2026.
Gartner, Gartner Survey Finds Sixty-Nine Percent of B2B Buyers Turn to Sales Reps to Validate AI-Generated Insights, 20 May 2026.
About the author. Amar Dhaliwal is CEO and co-founder of valueIQ, and has spent his career building and scaling B2B software companies.
About valueIQ. valueIQ is value intelligence software that helps B2B software and AI companies define, quantify, price, communicate and prove the value they bring to their customers. Revenue teams use it for value selling, value management and pricing: it generates value models, executive-ready business cases, competitor value models and pricing analysis. valueIQ is the creator of the valueIQ Value Intelligence Maturity Model™. The Value Project (thevalueproject.org), an open standard for machine-readable value and pricing models, was initiated by valueIQ.
