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I run marketing at Storylane, and our sales team came back from industry events this October with a finding I keep thinking about. The conversation that booked the most meetings was a question about the prospect's own website. When ChatGPT recommends you, can your site answer the buyer it sends?
I call this the shortlist landing. A buyer arrives on your site from an AI tool with a list of three or four vendors. The others are open in nearby tabs. You get one visit to answer what they came to ask.
What is a shortlist landing?
The old path had steps you could plan for. A buyer searched, read a few articles, found a category page, came back later, and eventually filled in a form. Each step gave you a chance to explain yourself.
An AI tool squeezes those steps together. Ask it which tools do a job and it usually names several vendors. The buyer clicks straight through to the sites, sometimes to a deep page instead of the homepage. They arrive with a specific question ready. They are not browsing. They are checking.
Two things follow. First, the buyer compares you side by side, not one after another. While they read your page, a rival's page is one tab away. Second, they already know what the category is, so a page that explains the category wastes the visit. They want to know if you fit their case, how you differ from the other names on the list, and what it takes to get started.
A shortlist landing is decided on the first page and the first question. There is rarely a second visit to make up for a bad one.
Why is "book a demo" the wrong answer for this buyer?
One point landed hardest in those event conversations. A buyer may not want a 30-minute call just to find out if your product is relevant.
I think that explains most of what demand gen teams call low intent. The buyer has a small question. Is this for me? The site makes them pay for the answer with half an hour on a call with a stranger, a few days from now. When the next tab might answer the same question in a paragraph, that is not a qualifying step. It is a reason to close the tab.
The call also reaches fewer of the people who decide than we like to think. In internal Storylane deal data covering 637 B2B deals, four in five members of the buying committee never joined a sales call. Whatever convinces them has to work without a call. There is a longer piece on why buyers ghost the "Book a Demo" button. The shortlist landing makes that problem worse, because the other option is now a click away instead of a search away.
How well do B2B websites answer a first visit?
We have some data on this. The Storylane Buyability Index asks a company's website the questions a buyer would plausibly ask and grades each answer. It covered 10,580 questions on 529 B2B websites scanned between Sep 8 and Oct 20, 2026. The site gave a full answer 58.6% of the time, a partial answer 33.1% of the time, and nothing at all 6.3% of the time. About 2% of questions were gated or sent to sales.
Two caveats come first. The questions are generated for each company, based on what a buyer would plausibly ask. They are not logged from real buyers. And the 529 sites were chosen by the people who ran the scans, so this is not a random sample of B2B websites.
A shortlist buyer brings four kinds of question on the first visit. What does the product do? How does it compare? What does it cost? How long does it take to set up? In the Storylane Buyability Index, those made up 5,640 questions, and they got a full answer 61.4% of the time. Only 12 of the 529 sites fully answered every one of them.
| First-visit question type (Storylane Buyability Index) | Questions | Fully answered |
|---|---|---|
| Product (what it does, for whom) | 1,945 | 76.7% |
| Comparison (how you differ) | 913 | 69.9% |
| Implementation (how long, how hard) | 1,252 | 49.8% |
| Pricing | 1,530 | 46.4% |
Pricing is where the "talk to us" habit shows. On 164 of the 529 sites (31%), not one pricing question got a full answer. 123 sites (23%) gated at least one pricing question or sent it to sales. Implementation is the other weak spot. Questions starting with "how long" appeared 550 times and got a full answer 39.3% of the time.
Put simply, a buyer who arrives from an AI tool with a cost or timeline question has worse than even odds of leaving with an answer.
Where do the answers live when they exist?
The comparison row looks healthy until you ask where the answers came from. Of the 638 comparison questions that got a full answer, only 19.7% were answered by a comparison page. The blog supplied 28.8%, and other pages 25.7%. Only 125 of the 529 sites had a comparison page that answered anything at all.
So the answer often exists, just far from where the buyer lands. An AI model can read a whole site in seconds. A person with three tabs open will not dig through your blog to learn how you differ from the vendor in the next tab. This is the part of answer engine optimization that gets less attention than citations. Being recommended earns you the visit. You still have to win the visit.
Won't a serious buyer talk to sales anyway?
Yes, often. The strongest pushback we heard at the events was some version of "at some point you need to talk to a human". Some people said they would simply rather talk to a person. For a large, complex purchase, the call is where the real work happens.
But that pushback is about whether a person is involved. The shortlist landing is about when. The call should come after the buyer has decided you are relevant. It should not be the test they must pass to find out. Sites that answer the first questions in the open don't lose the call. They get it from a buyer who has already ruled out the other tabs.
How do you test your own site?
This takes an afternoon and needs no tools.
- Ask the AI tools yourself. Type the question your buyer would ask, like "which tools do X for a team like ours?", into ChatGPT, Perplexity and Gemini. Note which vendors appear next to you and which of your pages get linked, if any.
- Write down the five first-visit questions. Does it fit my case? How is it different from the others on the list? Roughly what does it cost? How long until it is live? What does it work with?
- Start from the page the AI linked, not your homepage. Time how long it takes to find each answer. Then do the same on the rival sites the AI named. That is the comparison your buyer is making.
- Move answers to where buyers land. A price range or a plain explanation of how pricing works beats a form. An honest comparison page beats a blog post three clicks away. A stated setup time beats "it depends".
- Decide how to answer the questions you can't publish. Some answers depend on the buyer's situation. Those need something that can respond in the moment, like a detailed FAQ, a self-serve demo, a person on chat, or an agent.
If most of your traffic comes from people who already know you, this matters less today. The shift to AI browsers and AI-assisted research suggests it won't stay that way.
Where Storylane fits
I should say where my bias sits. We make RepX, an AI agent for your website. It answers buyer questions, shows the product with interactive demos, works out fit, and hands sales-ready buyers to your team. Qualified leads flow to HubSpot, Salesforce and Slack. It is one way to handle step five.
RepX is best for teams that get AI-referred buyers and have already written down their pricing, setup and comparison answers. You train it on your website, docs, decks and call scripts. Then every buyer who lands from a shortlist gets those answers on the spot, at any hour.
The one idea worth keeping is this. Being recommended by an AI tool gets you the visit, and the visit is a comparison you are already in. Answer the first five questions where the buyer lands, before you ask for half an hour of their time.
If you want to see how RepX answers those questions on a site like yours, book a demo with our team.