What Is a Category Source? How a B2B Website Becomes the Place Its Industry Learns From
A category source is the website that a whole industry, and the AI assistants its buyers use, learn the category from. It answers the questions buyers actually ask, including the ones that don't name you, in plain answer-first pages backed by original data and first-hand examples, and it grows every week from the questions real buyers bring. When AI explains your category to a buyer, it quotes the category source. Being relevant gets you into the conversation; being the source puts your words in everyone else's.
It is the second of three outcomes I work toward, in the order a buyer meets them: AI Endorsement gets you named, the category source makes you the place your industry learns from, and your second salesperson turns that attention into deals. Together: become the company your industry learns from, and buys from.
Why being the source beats being relevant
- AI quotes sources, not ads. When a buyer asks how to choose a supplier in your category, the answer is built from pages that explained it well. If those pages are yours, your framing, your words, and often your name travel with the answer.
- You get cited for questions that don't name you. A buyer comparing options, checking prices, or asking what can go wrong is still learning the category. A source gets read at every one of those moments; a brochure site only gets found when someone already knows the name.
- It compounds. Every page that answers a real question makes the next one more credible. Competitors can copy a design in a month; they can't copy two years of answered questions.
What a category source has
- Answers to the questions buyers actually ask, in their words, one question per page, the answer in the first paragraph.
- Original data nobody else has: a test, a study, a benchmark from your own work. Data is what other sites and reporters quote.
- First-hand examples, with dates and numbers, including the honest ones.
- One consistent identity, so AI can tell every page comes from the same company.
- Pages AI can read: crawlers allowed, indexed in Bing and Google, facts in plain text rather than PDFs.
- A way to grow from real questions. On my own site, the assistant flags every question the site can't answer yet, and a weekly email lists them. Each one is the next page to write.
How it looks on my own site
On October 4, 2026, I published a term for the first outcome of my work: being endorsed by AI. About three weeks later, ChatGPT, asked who the best AI endorsement specialist is, named me first and cited my site. My LinkedIn profile didn't use the term yet, so it learned it from the website alone.
The same week, asked in a buyer's everyday words to recommend someone who gets a business recommended by AI in Lebanon, it named four other firms and not me. That is the honest picture: the narrow question is won, the broad one is the work in progress, and the way to win it is the same, more answered questions and more independent mentions.
How to start
- List 30 questions your buyers ask before they buy, from sales calls, RFQs, and your inbox, including the awkward ones about price and risk.
- Answer two a week, one question per page, answer first, in plain words.
- Publish one piece of original data per quarter. It doesn't need to be big: a test you ran, a count you made, a before and after.
- Check monthly whether AI quotes or names you for those questions, including the ones that don't mention you.
What it is not
Not: a blog of generic AI-written articles, keyword pages written for search engines, or a "top 10" list that ranks yourself first. None of these teach anyone anything, and buyers can tell.
Want to know what AI learns about your category today, and from whom? Get your free AI Endorsement report: I check the questions your buyers ask by hand in ChatGPT, Gemini, Claude, and Perplexity.
Want a quick read on where you stand? Take the free AI Endorsement Readiness Scorecard: 3 minutes, full report by email.
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