You can't make ChatGPT or another AI assistant cite you, but you can make your company easy to name: capabilities in plain page text instead of PDFs, buyer questions answered on the page, pages that can rank, and facts that match everywhere.
A buyer opens ChatGPT and types "who are the best companies for precision sheet metal fabrication for aerospace." It answers with a few names. If yours isn't one of them, you never knew the question was asked. Learning how to get cited by ChatGPT, and by Claude, Gemini, and Perplexity, is about making sure your company is one the machine can read, trust, and name.
There's no single trick that makes an AI cite you. But the mechanics are knowable, and most established B2B sites are leaving them on the table. Here's what's in your control.
What makes a manufacturer easy for an AI assistant to name?
Plain facts it can match to a buyer's question: what you make, the processes and materials you work in, the tolerances and capacities you hold, the certifications you carry, the industries you serve, and where you are. Here's the checklist. None of it makes an assistant name you. It makes you a company it can name, and the sections after it go deeper on most of the steps.
- Find out where you stand first. Before you change anything, ask an assistant that searches the web the question a buyer would ask, with your product and your state, and see who it names. Our five-minute test has the prompts to copy and a simple log for the answers.
- Move the spec sheet onto a capabilities page. Processes, materials, tolerances, capacities and the equipment you run belong in page text, not only in a downloadable PDF. Keep the PDF for the buyer who wants it. A search engine can index a PDF, but a scanned one may hold no readable text at all, and the steps below all build on the capabilities page.
- Name your industries and your location in plain words. "Five-axis machining of aluminum and titanium parts for aerospace and defense, from our plant in Wichita, Kansas" gives an assistant an industry, a material and a place to match against a question. "Quality solutions for a variety of industries" could sit on any competitor's site, and there's nothing in it for an assistant to match a buyer's question to.
- List certifications with their scope, registrar and expiry. "ISO certified" is a claim. The standard, what it covers, the registrar that issued it, the certificate number and the expiry date are facts an assistant can repeat and a buyer can check with the registrar.
- Answer the first-call questions on the page. Take the questions your sales team hears on nearly every first call, like the tolerance a process can hold or the minimum order, and answer each one in its first sentence. Write that sentence so someone could quote it without the paragraph around it.
- Make the facts match everywhere you're listed. Your company name, capabilities and certifications should read the same on your site, your profiles and the industrial directories you're listed in. Assistants answering supplier questions often read directories and other pages as well as your own site. When those disagree, there's no telling which version an assistant will repeat.
- Add structured data to the pages that carry those facts. Organization and Service markup states your company name, address and what you offer in a form software reads directly. It won't get you cited on its own, and the structured-data section further down covers where it helps.
- Make sure the capabilities page can rank. An assistant answering from a web search works from the pages that search turns up, and Google's AI Overviews and AI Mode link only to pages that are indexed and eligible to show in Search with a snippet, so a nosnippet tag can take a page out of them. A capabilities page search engines can't reach or haven't indexed is out of the running however well steps 2 to 7 are done, so run this check early, not last. Check that your robots.txt, host and CDN let their search crawlers in: OAI-SearchBot for ChatGPT, Claude-SearchBot for Claude, PerplexityBot for Perplexity, and Googlebot for AI Overviews and AI Mode. Blocking Google-Extended won't affect Google Search, but it tells Google not to use your pages to ground answers in the Gemini app. Steps 2 to 5 are also the work that helps a capabilities page rank, so if you have to choose, do those and this check before steps 6 and 7. The SEO comes first.
- Check again every month. Run the five-minute test's buyer questions again. Judge it over a quarter, not a week.
What the AI says about you today
To see what an assistant says about you, ask one directly what it knows about your company and how it compares you to two competitors. The five-minute test can't show you that, because it keeps your name out of the question on purpose. Run that test first, then ask by name in a private window while logged out: signed in, an assistant can carry past chats about your company into a new conversation and tilt its answers toward you. Asked by name, most assistants find your site. In our study of US manufacturers, when we asked ChatGPT by name about 1,000 companies no assistant had recommended, it found and cited the company's own website 83% of the time. So the question is what they make of you: whether they describe you in specifics or in a vague sentence, whether anything is a few years out of date, and whether either competitor comes out ahead of you. That's your baseline, and it tells you where the gap is. (This is the practical side of answer engine optimization.)
Get your capabilities out of PDFs and into plain text
This one is entirely up to you. An AI reads web pages far better than it reads a PDF spec sheet, and many industrial companies keep their real substance, tolerances, materials, certifications, in downloadable documents. Put that information in actual page text. A model can only cite what it can read, and it can't reliably read a scanned brochure.
Answer the questions buyers actually ask
Models pull from pages that clearly answer a question. So write the answers plainly, on the page. What do you make. Who do you serve. What industries, tolerances, and standards. A well-built FAQ helps here, not as a keyword trick, but because it maps your content to the exact questions a buyer would ask the machine. The clearer the match, the more likely you're the quoted source. Most of those answers already exist in the heads of whoever takes your sales calls, and getting them written down is the real work of B2B content marketing.
Build consistent, verifiable authority signals
AI models weigh trust. They lean toward companies whose facts line up across the web: the same name, the same capabilities, the same clients and certifications on your site, your profiles, and any third-party mentions. Inconsistent or thin information can make a model hedge and reach for a competitor it's more sure about. Named clients, real certifications, and directory listings that match your site all feed this. It's the same authority work that helps you show up in Google.
Use structured data so the machine isn't guessing
Schema markup (organization, product or service, FAQ) tells a machine what a page is, in a format built for machines. It won't fix vague content, and in our study of US manufacturers it made little difference to whether an AI assistant recommended a company. On top of clear content, it removes ambiguity about who you are and what you offer.
Optimize for citations, not tricks
There's no keyword-stuffing shortcut here, and trying one tends to backfire. Durable AI visibility rewards the same thing a good buyer rewards: real capabilities, made easy to read and verify. For established manufacturers, this overlaps almost entirely with SEO for manufacturers, and we run it as a program under AI SEO.
What to expect
Unlike a ranking, an AI citation isn't a single number you watch daily. You track it by re-running the same buyer questions over time: are you named, more accurately, against stronger competitors than before. Progress here compounds the same way SEO does, and it starts the day you make your real work readable to a machine.
How common the gap actually is
It helps to know how low the bar is. When we audited more than 55,000 US B2B websites for The State of the Established B2B Website, 82% weren't structured for AI search to read them, and only 9% used structured data at all. Roughly half kept their specifications inside PDFs. So the competitor you're worried about probably isn't doing this either, and the work above is less about getting ahead than about being readable at all.
The same audit found that 68% of these sites never plainly say what the company makes or who it's for. An assistant summarising your market has to work with what the page gives it, and a homepage that opens with a slogan gives it nothing to attach you to. Clarity for a person and legibility for a machine turn out to be the same job.
How to tell whether it's working
This is easy to feel good about and hard to measure, so set a baseline. The prompts and log in our five-minute test, plus the by-name question from earlier in this post, are enough: run them before the work starts and again each month, and when you're named, note which of your pages the assistant cited.
Answers vary from run to run, so one check tells you little. What you're watching for isn't a ranking, it's a pattern: being named in more of the answers, moving from a passing mention to a cited source, and being described in specifics rather than in a vague sentence.
One caveat worth setting expectations on. Being cited depends on the model's training and retrieval, so changes don't show up on a schedule the way a page edit does. Treat a quarter as the honest evaluation window, and treat the page work as worth doing regardless, because everything that makes you citable also makes you clearer to the person reading.
