Why You Should Publish Industry-Specific Content (Especially Now That AI Answers First)
You should publish industry-specific content because buyers, and the AI tools they now ask first, reward answers that fit their world. A hospital CFO and a regional bank’s CIO may buy the same software. They don’t ask the same question. Generic content answers neither of them well, and AI can write generic content for anyone. Specific content, with proof from that industry, is what an AI answer has a reason to cite.
Originally published September 25, 2024. Rewritten for the AI era on October 26, 2026.
Does industry-specific content still matter if my product is the same for everyone?
Yes. The product can be the same. The reason to buy it isn’t.
Professionals take pride in their industries. Each one has its own language, rules, risks and pressures. That was true when I first wrote this piece about selling common products like laptops, employee health insurance or CRM software, and it’s truer now. A buyer won’t take a leap of faith toward you. You have to start where they already are: in their industry, with their problem in their words.
What changed is who reads your content first.
How did AI search change the case for industry content?
Buyers now ask long, specific questions, and those are the searches most likely to get an AI answer.
Pew Research Center found that longer searches and questions are the ones most likely to trigger a Google AI summary. Just 8% of one- or two-word searches got one, against 53% of searches with 10 words or more. And 60% of searches starting with “who,” “what,” “when” or “why” got one (Pew Research Center).
That’s how buyers talk to AI: “What should a mid-size hospital look for in a scheduling system?” not “scheduling software.” Google says the same thing from its side. People in AI search ask “longer and more specific questions,” and the content that does well is “unique, non-commodity content” (Google Search Central). Its guide spells out the difference: commodity content is based on common knowledge “which could originate from anyone,” while non-commodity content brings “unique expert or experienced takes” (Google).
A generic “benefits of CRM” page is commodity content. “What a regional bank’s compliance team needs from a CRM, and what we learned building one” is not.
| Generic content | Industry-specific content | |
|---|---|---|
| The question it answers | “What is X?” | “What should someone in my industry, with my problem, do about X?” |
| Who could have written it | Anyone, including an AI model | Only someone who has done the work in that industry |
| What an AI answer does with it | Blends it into a summary, often without credit | Has a specific reason to cite it |
| What a buyer feels | “This could be anyone” | “They’ve been here before” |
| Proof inside it | General claims | Named examples, industry results, the right terms |
Does industry content help you get named in AI answers?
It helps twice: on your own site, and in the coverage AI reads.
Muck Rack’s study of more than 25 million links cited by ChatGPT, Claude and Gemini found 84% of citations were earned media. It also found that industry-trend questions drive journalism citations at more than double the rate of how-to questions (Muck Rack).
Trade press, associations and industry events are where earned media lives for most B2B companies. They cover people who have something specific to say about their industry. A sharp industry point of view gets you quoted there, and those quotes are what AI repeats. For the bigger picture, see AI Search Is Eating the Click, and Agents Now Build the Shortlist.
What does industry-specific content do for the buyer and the sales rep?
It gives both of them the proof they need at the moment of risk.
In a Gartner survey of 645 B2B buyers, 45% used generative AI in a recent purchase. And 69% said they prefer to validate AI-generated insights with a sales rep (Gartner). The buyer arrives with the machine’s answer and asks a person, “Is this right for us?” A rep holding an industry example answers that in one sentence. A rep holding a generic brochure can’t.
I’ve seen what fitting the content to the buyer does. At D Custom (2014–2024), we built thought leadership for DDN written for generalists. The result was shorter purchase cycles and more deals for DDN. For UT Southwestern, in 2019, we built discovery-led storytelling for curious generalists, written for the reader they actually had.
How do you build industry-specific content without starting over?
With a question map, not a rewrite of everything.
The original version of this article called it a content stack: line up each industry against each stage of the buying journey. That still works. Now build it from the questions buyers in each industry ask AI and ask your reps.
- Pick the two or three industries that matter most to revenue. Not every industry you’ve ever sold to.
- Collect their real questions. Ask sales, read win/loss notes, and type the questions into ChatGPT, Gemini, Perplexity and Google AI Mode to see who gets named.
- Map each question to a buying stage. Early questions are about the problem. Late questions are about risk, fit and proof.
- Answer the questions only you can answer. Lead with the answer, use the industry’s terms and include a named example or result from that industry.
- Get it quoted elsewhere. Turn the strongest answers into trade-press articles, talks and partner content, because that’s what AI reads.
- Measure being named, not visits. Check monthly whether AI answers name you for those questions. Chapter 7 of our guide covers how.
For the step-by-step on getting cited, see chapter 6: from traffic to citations. For the feeling underneath all of this, starting where your buyer is, see Empathy in Marketing.
Where do you start?
Pick one industry and five of its questions. Check what AI says today. If you’re not in the answer, that’s your first piece of industry-specific content. If you want help finding where AI names or misses you, ask about the measurement and AI-visibility audit.
Generic content tells buyers what you sell. Industry content tells them you’ve been in their shoes.
