Nobody gets cited by AI because of a homepage redesign.

They get cited because ten specific pages answer the exact questions buyers are typing into ChatGPT, in language a machine can quote without guessing. You almost certainly already have those ten pages. They were just written to impress a human who's reading, not to be quoted by an answer engine that's summarizing.

That's the whole reframe. If you want to know how to get cited in AI search, stop picturing a rebuild. Picture a rewrite. Ten pages, not a hundred. An editing job, not a capital project.

And the stakes are real now, not hypothetical. In G2's 2026 buyer study, 71% of B2B buyers said they use AI chatbots to research vendors, and a UK study, summarized by Trax, found that two-thirds of senior decision-makers now use AI specifically to research suppliers.

We spend a lot of time inside manufacturer websites, and the gap is almost always the same. The product is excellent. The pages describing it are vague. And vague is the one thing an AI will not quote.

AI cites pages, not websites, so drop the "redesign" reflex

Here's what trips people up. A generative answer isn't built from your domain. It's stitched together from individual pages that the engine can use to pull a confident sentence. Your overall site authority helps. But the thing that actually gets quoted is a page that says something specific and checkable.

Which is why the redesign instinct is wrong and expensive. You don't need a new CMS or a six-figure rebuild to show up in ChatGPT. You need the handful of pages your buyers' questions land on to be quotable.

And ranking won't save you either. A 2026 study measuring Google's AI Overviews found that nearly 30% of the domains cited in answers never appeared on the first page of regular search results. Read that twice. You can rank fine and still get skipped, or get cited from a page buried three clicks deep. Getting quoted is its own job, separate from getting ranked.

So the work isn't "fix the site." It's "fix these ten pages." Smaller. More doable. Let's get specific about how.

How to get cited in AI search, one page at a time

Every quotable page does the same handful of things. This is the formula, and it comes from the research, not a hunch.

The Cornell University GEO study ran 10,000 queries to see what actually changes whether a page gets cited. Three moves did the heavy lifting: adding specific statistics, citing named sources, and including direct quotes. Each lifted visibility by up to 40%. Keyword stuffing, the move that ran SEO for a decade, did basically nothing.

So a quotable manufacturing page looks like this:

• Specifics, not adjectives. Numbers, tolerances, materials, certifications, throughput, dimensions. "Rated to 6,000 psi" gets quoted. "Built to the highest standards" gets skipped.
• Real answers to real questions. Headers that match how a buyer phrases a question, with the answer in the first sentence underneath. Not buried in paragraph four.
• Sources, including your own. Cite standards, test data, and named results. Pages that cite credible sources get cited more, which is a little ironic and very useful.
• Plain entity language. Say who you are, what you make, and who you make it for, in words a machine can't misread. Clever taglines confuse the engine. Clarity wins.

One more thing the research is blunt about. AI leans toward earned media and third-party sources over your own site, and roughly 65% of ChatGPT's most-cited pages come from high-authority domains. Your pages still matter. They just can't be the only voice vouching for you. Keep that in mind while you rewrite: the page does its job, the wider web backs it up.

Check your AI search readiness in two minutes

The 10 pages, in the order that matters

Not all ten carry the same weight, so here they are grouped by the job each one does.

Your entity foundation (2 pages).

1. Homepage. Not a redesign. One job: state plainly what you make and who you serve, high on the page, in language an AI can lift. If your homepage opens with a mission statement, the engine learns nothing about what you actually do.
2. About / company page. This is your entity record. Consistent name, what you build, markets served, certifications, and history. It's how an AI decides whether you're a credible source at all.

Your demand-capture core (2 pages).

3. Core product or category pages. The pages that say what you sell. Usually, the thinnest is almost always the most important. Specs, variants, materials, use cases.

4. Capabilities/specifications page. Tolerances, processes, equipment, standards, capacity. The page that an engineer takes a screenshot of and forwards to procurement.

Your evaluation pages (3 pages).

5. Application/use-case pages. "Used in [industry] for [application]." This is where specification-stage queries land, and most manufacturers don't have these pages at all.

6. Comparison page. The "vs alternatives" question is already happening in the buyer's head and in the chatbot. Answer it on your own terms, honestly, or let a competitor frame it for you.

7. Technical FAQ. Question-shaped content is exactly what answer engines pattern-match to. Write the real questions an engineer asks, and answer each one in the first sentence.

Your proof (2 pages).

8. Case studies/results. Named outcomes, real numbers, specific applications. Proof pages are some of the most quotable assets you own, if they contain actual results instead of testimonials about how pleasant you are to work with.

9. A certifications or compliance page, if your category is trust-heavy. Approvals, standards, and third-party validation are stated clearly.

Your cornerstone (1 page).

10. Your strongest application note or technical guide. The deep, genuinely useful piece that proves you know the work. This is the page that earns links and citations and pulls authority to everything around it.

If that list feels long, it isn't. Not next to a rebuild. Most of these pages already exist. You're editing, not inventing.

Your ideal buyers are searching. If you're not showing up, especially in AI results, you're out of the running. We help you get found, get chosen, and turn search into revenue. See how our SEO work fits AI search.

What a rewrite actually looks like (one page, before and after)

Theory is cheap. Here's a real one.

Take a typical product page for a precision-machined valve component. Today it reads something like:

"Our high-quality precision components are trusted by industry leaders worldwide. With decades of experience and a commitment to excellence, we deliver premium solutions tailored to your needs."

An AI cannot quote a single useful thing from that. There's no fact in it. Four sentences of warm air.

Now the rewrite. Same page, same product, actually doing the job:

• Open with the fact. "CNC-machined valve components in 316 stainless and brass, held to ±0.005 mm, rated for service to 6,000 psi." A buyer knows in one line whether you fit. So does ChatGPT.
• Add a spec table. Materials, tolerances, sizes, finishes, lead times. Tables are easy for engines to parse and easy for engineers to scan.
• Answer the comparison. A short, honest "when to choose this over a cast equivalent" section. You'll lose the buyers; it's wrong anyway. Win the ones that are right for.
• Drop in a real FAQ. "What tolerance can you hold on small-batch runs?" "Do you provide material certs?" Real questions, answered in the first sentence.
• Cite something. The standard you machine to. A published test result. Your own data.

Same product. The second version is full of things a machine and a buyer can use. That's the entire move, repeated across ten pages.

Notice what we didn't do. We didn't redesign anything. We didn't touch the template. We rewrote the wording so it conveys facts rather than feelings.

Sequence it, then check it worked

Don't rewrite all ten in a weekend. You'll burn out and ship ten mediocre pages.

Start where citations move fastest: your entity foundation (homepage, About) and your two or three highest-intent evaluation pages, usually the comparison page and your top application pages. Those are the ones buyers' commercial queries hit. Fix them first.

Then check it. This is the part teams skip, and it's an hour of work. Run your real buyer queries through ChatGPT, Perplexity, and Google AI Overviews. Category questions, comparison questions, and application questions. Write down who gets named and which pages get cited. Do it again in a few weeks. You're watching for your name to start showing up where it didn't.

Set the expectation, with yourself and your boss: this compounds over weeks, not overnight, and it runs alongside your SEO, not instead of it. Google's own line is that optimizing for its AI features is still SEO; the pages have to be indexable and worth quoting. Nothing exotic. No special markup. Just pages good enough to cite.

And remember who's asking. Your buying group is six to ten people, and most of the decision happens before anyone calls you. The engineer asks a spec question. Procurement asks a comparison question. The GM asks who's credible. Coverage means being the quotable answer to all three, not just one.

Ten pages. That's the project. Start with two this week.

If you want to see which of your pages are getting cited right now, and which ones are leaving you out of the answer, book an exploratory call, and we'll audit your coverage across the full buying committee.