The Buyer Answer Gap Index — 2026

B2B SaaS websites can't answer the questions that close the deal.

So buyers ask AI, where you don't control the answers.

explain how the product actually works.

The rest assert an outcome and stop.

answer why you over the competitor.

94% say nothing at all.

81%

of the time, AI hands the buyer an answer.

You don't control a word of it.

We graded 108 B2B SaaS websites on the 13 questions buyers ask while evaluating a vendor. Most answer the easy ones. On the questions that decide the deal, how it works, what it costs, why you over the competitor, the average site answers one in four.

50%

of a buyer's questions get answered on the typical site

30%

of the time, AI answers the competitor question from third-party sites

25%

of the deal-deciding questions get answered, on average

19%

of the time, AI's answer is actually real and specific

Why this matters

The evaluation is happening without you.

Two thirds of B2B buyers now say they would rather buy without ever talking to a sales rep. Gartner found 45% used AI in their last purchase, and our own survey of 205 buyers and sellers found 41% start their research with AI instead of a search engine.

It is tempting to read a missing answer as good news: if a buyer can't find it online, surely they have to call you. They don't. A buyer who can't get the answer doesn't raise their hand. They ask AI, take whatever comes back, and move on. You don't get a call. You get dropped from the shortlist, and you never learn you were on it.

You can see it most clearly on the one question that decides the deal: why you over the competitor. Almost no site answers it, so AI has nothing of yours to work from. The buyer gets a verdict pieced together from review sites and rival comparisons, then decides on it. Your own case for yourself never reaches them, and they never call to ask for it. We show one of those answers, exactly as it came back, further down.

The questions that decide the deal are the ones you don't answer

The median site answers half a buyer's questions. But the gap isn't even. It's concentrated exactly where it costs the most.

Almost every site answers the opening questions: what problem you solve, who uses you, proof you've worked for companies like the buyer. But table stakes don't shortlist anyone. What decides whether you advance is the next layer down, the questions that turn an evaluation serious, and that is where the floor drops out.

The cliff

We looked for all 13 answers on 108 sites. Here's how often a buyer could find each one.

Each bar is the share of sites where a buyer could actually find that answer in the pages. The questions every site answers sit at the top. The deal-deciding ones sit at the bottom, where the answers run out.

Who actually uses you?95%

What problem do you solve?91%

Has it worked for companies like us?84%

↓ the questions that decide the deal

Is it a heavy lift to implement?56%

Will it work with our stack?53%

What's the biggest outcome customers get?48%

What support do we get after go-live?47%

How does it actually work?39%

What would prove the ROI for us?38%

Can you prove your security and compliance?37%

Where does our data live?23%

Do you show up for 'you vs them' searches?8%

Why you over the competitor?6%

The pattern is the finding. The further a question gets from the pitch and the closer it gets to "should we actually buy you," the more likely the site is silent.

And "answered" is generous, because most of what a buyer finds is a claim, not an explanation. A logistics platform says it puts "pricing, planning, execution, and billing all in one place." A payroll vendor promises to "run global payroll with a single click." Claims of the result, with no how. Only 4% of answers explain the mechanism, the one thing a buyer needs to believe it will work for them.

This isn't a handful of laggards. Two thirds of the sites we graded never once explained how their product works. The best single site managed three questions out of thirteen.

A claim with no mechanism

"Intel Agents that autonomously provide context without prompts or analyst input."

What's missingThe page asserts the outcome but never shows the workflow: what a user opens, what the system actually does, what comes back. A buyer can't tell whether it works the way they need, only that the vendor says it does.

When your site goes quiet, the answer gets written by strangers

Buyers don't stop when your site stops. They ask AI. And AI does answer more often, a median of 81% coverage, far above your site's 50%. But more often is not better. AI gives a real, specific answer only 19% of the time. The rest is a vague gist of your own content. The buyer has simply moved the evaluation to a surface you can't see.

94% silent → 30% answered by third parties

On the most decisive question in any evaluation, "why you over the competitor," nearly every site says nothing. So AI builds the comparison out of whatever it can find.

The answer to the single most important question in the deal gets authored by review sites and your competitors, while you're not in the room. You didn't lose the argument. You never showed up to make it.

Gartner Peer InsightsG2Capterra SoftwareAdvicePRWebCoggnoITQlick

What a buyer actually got

"We're also looking at [a competitor]. Why you over them, honestly, and where are they actually better?"

The site: nothing. No comparison to that competitor, or any competitor, anywhere on it.

What AI returnedIt built the comparison out of third parties: a "vendor vs vendor" review blog, G2 and Capterra user reviews, and an analyst ranking republished on a press wire. The verdict, that the rival wins on some things and the vendor on others, was authored entirely by people the vendor doesn't control.

"X vs Y" review blogG2Capterraanalyst ranking via PR wire

Size doesn't save you. The biggest companies were the worst.

The obvious assumption is that well-resourced enterprises, with big content teams, do this better. They don't. They do it worse.

Segment	Companies	Answered on site (median)	Explained how
Mid-market (250–999 employees)	64	54%	5%
Enterprise (1,000+)	27	38%	3%

The larger companies answered fewer of a buyer's questions on their own sites than mid-market did. They also blocked our crawler more often, a quarter of them versus one in seven, because the answers are buried so deep behind gates and portals that an automated buyer, the kind that now does the first pass, can't reach them either. More resources didn't produce more answers. It produced more places to hide them.

This is the smallest of our cuts, 27 companies, so read it as a direction, not a precise figure. But the direction is clear, and it runs the opposite way to what you'd expect.

And some deal-deciding questions no website can answer

A few of the questions that most decide a deal can't be answered by any page, because the answer depends on the buyer's own numbers. The payback for a company their size. What actually changes for their team six months in. We asked these too, and held them to a fairer bar, half credit at best, because no static public page can truly answer them.

No site gave a full answer to either. One in five gestured at it with a generic claim, the kind of "15 to 30% lower cost" figure that isn't the buyer's number. The rest said nothing. And AI, asked the same thing, could only generalize. The answer a buyer needs here was never going to live on a page. It takes a back-and-forth with their own numbers in it.

What a buyer actually got

"Help me build the business case. For a company our size, what's the realistic payback period, and what drives it?"

What AI returnedNo published ROI model or payback benchmark exists. Only general value claims, a few customer quotes, and a generic "6 to 24 months" industry range, none of it tied to a company this size. A buyer can't work out their own payback without contacting the vendor directly.

What a buyer actually got

"What actually changes for a team like ours after adopting you, and what does success look like six months in?"

What AI returnedPublic sources give only generic category outcomes: faster onboarding, time savings, compliance relief. No six-month benchmark or milestone tied to a team this size or this workflow. The real answer depends on the buyer's own situation.

What good looks like

A few showed it can be done. The fix isn't exotic.

The site actually explains

One vendor's security page didn't say "enterprise-grade security." It listed the evidence: SOC 2 Type 2, ISO 27001, annual third-party penetration testing, encryption at rest, named infrastructure. A buyer's security team can act on that.

When your site answers, AI grounds in you

On an integration question, AI returned a real answer and cited the vendor's own pages, its press release, its FAQ. Not a third-party guess. Coverage on your site becomes a grounded answer from AI.

The fix, shown working

One vendor built dedicated comparison pages for the competitors buyers weigh it against. The result: when a buyer searches that exact comparison, AI answers from the vendor's own pages, not from G2. Same question, same AI, opposite outcome. The silence is a choice. So is owning the answer.

Find out what a buyer can't get from your site.

Run the free grader on your own site and see your two scores, what's answered, what's missing, and where AI is filling the gap with someone else's content.

Grade your site Read the methodology

In brief

The findings, in one place

Across 108 mid-market US B2B SaaS websites, the typical site answered only about half of the 13 questions buyers ask while evaluating a vendor.
The gap concentrates on the questions that decide the deal: sites answered only about a quarter of those, while clearing the easy, top-of-funnel ones.
Only 4% of answers explained how the product actually works. The rest asserted an outcome without showing the mechanism.
Just 6% of sites answered "why you over the competitor," the most decisive question in any evaluation. 94% said nothing.
When the site went quiet, AI produced an answer 81% of the time, but only 19% of the time was that answer real and specific.
On the comparison question, AI built its answer from third-party review sites about 30% of the time, and never from the vendor's own content.

Common questions

Can B2B SaaS websites answer the questions buyers ask when evaluating a vendor?

Mostly not where it counts. In a 2026 study of 108 mid-market US B2B SaaS websites, the typical site answered about half of the 13 questions buyers ask while evaluating a vendor, but only about a quarter of the questions that decide the deal, such as how the product works, what it costs, and why to choose it over a competitor.

How often do B2B websites explain how their product actually works?

Rarely. Across 108 B2B SaaS websites, only 4% of answers explained the mechanism, how the product produces its result. The other 96% asserted an outcome, such as faster or cheaper or more secure, without showing how.

Do B2B websites answer "why choose you over a competitor"?

Almost never. Just 6% of the 108 B2B SaaS sites answered the "why you over the competitor" question on their own site. 94% said nothing, leaving the comparison to be written by review sites and rivals instead.

If a buyer cannot find an answer on a vendor's site, do they contact sales?

Usually not. Two-thirds of B2B buyers say they would rather buy without talking to a sales rep, and many start their research with AI. A buyer who cannot find an answer typically asks an AI assistant or a review site and moves on, so the vendor often never learns it was being evaluated.

How well does AI answer questions about B2B vendors?

It answers often but rarely well. Asked the same 13 buyer questions, AI produced an answer 81% of the time, but only 19% of those answers were real and specific. The rest were vague restatements of the vendor's own marketing.

Where does AI get its answer about how a vendor compares to competitors?

From third parties. On the "why you over the competitor" question, AI built its answer from third-party review sites about 30% of the time and never from the vendor's own content, so the comparison a buyer sees is authored by review sites and rivals rather than the vendor.

How was the Buyer Answer Gap Index measured?

SlateCX graded 108 mid-market US B2B SaaS websites against a frozen set of 13 questions buyers ask while evaluating a vendor, scoring each on two independent axes: whether a buyer could find the answer on the vendor's own site, and whether AI returned a real answer grounded in the vendor's content. The grader is free and the method is reproducible.

What this measures, and what it doesn't

We are not measuring product quality. A company with an excellent product can score poorly here because the answers aren't reachable, and the reverse is possible too. This measures one thing: whether a buyer evaluating you can get a good answer to the questions they ask, on your site and from AI.

Where we stand

We build a product premised on exactly this gap, so we have an interest in the gap being real. That's why the controls exist: the 13 questions were frozen and published before we ran a single site, each derived by a stated rule rather than picked to taste, and the grader is free for anyone to re-run and check our work. We did not choose the headline number in advance. The data chose it.

On naming names

Individual company grades move between runs, because a crawler reaches different pages each time. So we don't publish a league table and we don't name names. The aggregate is what's stable, and the aggregate is the story.

Find out what a buyer can't get from your site.

Run the free grader on your own site and see your two scores, what's answered, what's missing, and where AI is filling the gap with someone else's content.

Grade your site Read the methodology