Discover in AI, decide on your site: what AI-referred buyers need from the page they land on

Read it by vertical

For US retail, checkout inside Google's AI surfaces is real and growing. Shopify turns direct checkout in AI Mode and Gemini on by default for eligible stores, which must be based in the US and sell to US customers, and it is shown only to US shoppers. Retail teams should plan for both paths: our agentic commerce readiness guide covers the in-chat side, and AI-referred shoppers the on-site side.

For B2B, none of these checkout programs apply. There is no cart to transfer for an annual platform contract, a security review, or a buying group that has to agree. The durable pattern is discovery in AI and decision on your own surfaces: the site, the docs, and the sales conversation. It is the prediction we made in our year-in-review essay: agents will read first and buy later.

Many readers don't click; the ones who do are checking

The best neutral read on click-through comes from news, not B2B: in the Reuters Institute's Digital News Report 2026 (June 16, 2026; 48 markets), 42% of people who use AI chatbots for news say they always or often click through to the original sources. That is self-reported and news-specific, a shape rather than a B2B benchmark: fewer than half routinely click, and AI-influenced buyers can also arrive later by searching your name, landing in branded organic or direct traffic (the branded-search bridge).

Either way, the visitor who reaches your page is past discovery. They are checking a specific claim, comparing you with a name the answer gave them, or looking for a reason to keep you on the list. A page written to introduce the company to a stranger answers none of those.

How to read the retail numbers

Adobe also sells AI-search optimization products (Adobe LLM Optimizer, and Semrush since Adobe completed that acquisition on April 28, 2026), so weigh its data accordingly. The direction flipped within a year, the cohort is self-selected because people who click out of an answer are already interested, and none of it describes B2B.

What transfers is the mechanism, not the number: a visitor who arrives after an answer has already done some comparing. Whether that shows up as a higher conversion rate on your site depends on whether the page lets them finish the check they came to make. For the full visit-quality evidence and its limits, see what AEO does to your web traffic.

1. Match the message the answer gave

The first screen should confirm the buyer is in the right place, in the terms the answer used. If engines call you a log-management platform for Kubernetes teams and your hero says observability, reimagined, the visitor has to translate, and translation loses buyers who came to check a fit claim.

• Read how each engine you care about describes you on your top buyer prompts. Note the category label, the use case, and the competitor named beside you.
• Put one plain sentence near the top that says what you do and for whom, the same sentence you want engines to lift. Why that sentence matters is covered in how AI describes your brand.
• If answers use a category term you don't, decide deliberately: adopt it on the page, or explain in one line how you differ. Ignoring it leaves the buyer to reconcile the two.
• Keep one page for everyone. Don't build an AI-only variant or swap copy by referrer. Google's guidance says optimizing for its generative AI features is still SEO, with no special markup required, and many AI-influenced visitors arrive with no AI referrer at all, so a referrer-based variant misses them.

2. Confirm or correct what the engine claimed

Assume some visitors arrive believing something that isn't true; 64% of G2's April respondents said inaccurate recommendations happen often or very often. The landing page is where you fix it for that visitor, and a visible, current statement is also what an engine that searches the web can pick up on its next fetch.

• List the claims answers get wrong about you most often: a retired free tier, an old price, a missing integration, a compliance status, a deployment option.
• State the current fact visibly in a sentence that stands on its own, with a date where facts change, such as "Pricing updated March 2026."
• State the correct fact directly. You don't need to quote the wrong version or name the engine that repeated it.
• Fix the source as well. A corrected landing page corrects the visitor, not necessarily the engine; if the wrong claim comes from a third-party page, follow how to fix a wrong fact in an AI answer.

3. Put comparison and proof within one click

The answer that sent the buyer probably named a competitor next to you. The buyer will compare either way; the only question is whether they do it on your page or on someone else's.

• Publish an honest comparison page for the 2 or 3 competitors answers name most often beside you, including the cases where the competitor is the better fit, and link to it from the page AI-referred visitors land on.
• Put third-party proof next to the claim it supports: named customer outcomes you have permission to use, review-site profiles, and certifications with their audit dates.
• Make proof checkable. A link to the case study, the review profile, or the certificate does more than a logo strip.

4. Make pricing and fit legible

Fit and price are what a shortlisting buyer most needs to verify, and a contact-us button answers neither.

• Say who the product is for and who it isn't for: team size, stack, deployment model, regions, and required integrations.
• Publish the pricing model even if you don't publish prices: per seat or usage-based, annual or monthly, minimums, and what a trial includes. When your own page is silent, engines that search at answer time, such as ChatGPT Search and Perplexity, can end up describing your pricing from a third-party page.
• Put requirements and limits in page text, not only in a PDF or a gated datasheet. Crawlers can't read behind the form, and neither can the buyer checking a claim.

5. Offer a next step that fits a buyer mid-shortlist

A visitor validating a shortlist is not always ready for a 45-minute demo, and 69% of the buyers Gartner surveyed prefer to validate AI-generated insights with sales reps.

• Offer a short validation path next to the demo: a call with a solutions engineer, a sandbox, or the documentation for the use case the answer mentioned.
• Give sales the answer's context. Add an optional form field, "What did an AI assistant tell you about us?", and log the answers in your CRM; the protocol is in closed-won interviews.
• Keep security, compliance, and technical pages ungated at summary level, so the claims a buying group checks are readable without a sales call.

Where the lists overlap

Pages that appear on 2 or 3 of these lists are where AI-influenced buyers land. Fix those first. For how each free report works and what it misses, see the free AI reports in Search Console, Bing, and GA4; for the demand that never arrives with an AI referrer, see what AEO does to your web traffic.

What Brand K should watch afterward

Two things, over weeks, not days. First, whether demo requests from AI Assistant sessions on those 3 pages close the gap with branded organic visitors, reported with the session counts. Second, whether answers on the same prompts stop repeating the free-tier and plugin claims: engines that search at answer time can pick up the change as they re-fetch, while answers drawn from model memory can lag for months. Neither result proves the page caused the change, because engines shift their sources on their own. It is the pattern the checklist is built to produce, not a promise that it will.

Building the page, not just auditing it

SolCrys also builds pages with customers. For Cornelis Networks we worked with its marketing and web teams and delivered copy and design for a redone homepage, a new category page, and a product page, grounded in the Corporate Context SolCrys manages for Cornelis (case study). The principle from that work is the one this guide argues: the page an engine cites and the page a buyer lands on should tell the same story, in the same words.

What SolCrys doesn't do

SolCrys doesn't connect to GA4, Search Console, or your CRM, so the cohort, conversion, and pipeline analysis stays in your own tools. It never edits or publishes your site; your team ships every change. Engine coverage depends on plan across ChatGPT, Google AI Overviews, Gemini, Perplexity, and Claude. And a before-and-after, whether on an answer or on an audit score, is an observation, not proof that your change caused it.

To see how ChatGPT describes your brand before a buyer reads it, Start Free: 10 ChatGPT prompts and 1 Content Audit, with email verification and no credit card. Multi-engine tracking is on paid plans and Answer Accuracy is on Pro and Custom, and if you want help building the pages themselves, talk to us.