- Buyers with a real problem search in specifics: a system they use and what's going wrong with it.
- A page per real problem, system or use case can meet them there, if each page says something the others don't.
- Honest limits build more trust than broad promises, and they filter out poor-fit inquiries.
- Every page needs one obvious next step.
- Facts about other companies' products must be checked against their own documentation, and rechecked.
How buyers really search
An operations manager has spent the afternoon reconciling job costs between two systems. Again. That evening she searches something like "sync job costs from our field service software to our accounting system." Or she asks an AI assistant the same question in a full sentence.
She isn't searching for "custom software development." She doesn't yet know that's what she needs. She knows the names of her systems and what's breaking between them.
A company with a page about exactly that problem has a real chance of being found. A company whose site says "we build tailored digital solutions" does not.
What makes these pages work
The pages that bring in inquiries tend to share a few traits. None of them is a trick.
- They name the real thing. The system, the process, the industry. In the words a buyer would use, not the words a vendor would.
- They show they understand the problem. The first few lines describe the situation so precisely the reader thinks, "that's us."
- They say what's possible. What can be connected, automated or built, in plain terms.
- They say what isn't. The limits of the systems involved, and the cases where a different route is better.
- They make the next step obvious. One clear action, not five competing ones.
Choosing which pages to write
The best source of page ideas is your own sales conversations. What do people ask on first calls? Which systems come up again and again? What problem did the last five inquiries describe?
Three kinds of page tend to earn their place:
- By system. A page for each important system your buyers run, saying what you can connect or build around it.
- By problem. A page for each recurring problem, like slow quotes or invoices retyped by hand, regardless of which systems are involved.
- By industry. Only where the work really differs between industries, with details that prove it.
Then apply a strict filter. If a new page would say the same thing as an existing one with a different name swapped in, don't write it. Google's spam policies describe doorway pages built for narrow variations that funnel visitors to one place. Bing's webmaster team advises keeping separate pages only when the intent clearly changes.
Ten pages that each answer a different real question will do more than a hundred that answer the same one.
Honest limits are a feature
It's tempting to write every page as if anything is possible. Buyers have heard that before.
Say what the system allows and what it doesn't. If a vendor requires its approval before outside software can connect, say so. If a ready-made product already handles the common case, say that too, and explain where a custom build starts to make sense.
Honest limits do two things. They build trust with the right buyers, who can tell you've actually worked with the system. And they quietly turn away the wrong ones before they take up a call.
They also make your pages more useful to AI assistants, which tend to favor sources that are specific and clear about what they cover.
Facts about other people's products
A page about connecting to someone else's software makes claims about that software. Those claims have to be right.
- Check each one against the vendor's own documentation or help center.
- Link to it, so readers can check too.
- Use the vendor's current product names. They change more often than you'd think.
- Put a review date on the page and recheck on a schedule.
Getting a vendor fact wrong is worse than leaving it out. The reader who uses that system will notice immediately, and they are exactly the reader you wanted.
The next step
A page that answers the question perfectly and then ends is a missed chance. Give the reader one obvious thing to do next.
For most companies that's a short form or a call, framed around the problem on the page. "Tell us what you need your accounting system to do" beats "Contact us." Pre-filling the form with the page they came from saves them typing and tells your team what they were reading.
Then make sure the inquiry reaches a person quickly. A great page feeding a neglected inbox is still a lost lead.
Pages that don't work
It helps to know the failure patterns, because they are common and they look productive.
- The swapped-name page. The same text for every system or city, with the name changed. Readers notice in a paragraph.
- The logo wall. A page listing fifty systems with no detail on any of them. It answers no one's question.
- The vague promise. "Seamless integration with all your tools." The buyer who knows how hard their system is to connect stops trusting the rest.
- The dead end. A useful page with no next step, or a next step buried under three others.
- The stale page. A product name the vendor retired a year ago. It tells the reader nobody is paying attention.
Who should write them
These pages sit between marketing and the people who do the work. That's why they're often weak. Marketing writes them without the detail, or engineers write them without the reader in mind.
The pages that work usually come from both. Someone who has actually connected the system, or solved the problem, supplies the specifics: what's possible, what's awkward, what most people get wrong. A writer turns that into a page a buyer can follow in two minutes. An editor checks every fact.
AI can help with the middle step, turning a project lead's notes into a first draft. It can't supply the specifics. If the notes are thin, the page will be too, however polished it reads.
A short interview is often the fastest way to get those notes. Twenty minutes with the person who knows, a recording and a list of questions a buyer would ask will produce more usable detail than a week of research.
Writing for search and for AI answers
The same habits serve both. Google says there are no special requirements for its AI features beyond being indexed and eligible for a snippet. Microsoft's guidance on content for AI answers stresses clear headings, direct answers and keeping key facts out of images and PDFs.
- Put the core answer near the top, in a sentence that stands on its own.
- Use headings that say what the section answers.
- Keep titles, main headings and descriptions consistent with each other.
- Add a short set of questions and answers where buyers have obvious ones.
- Link related pages together, so a reader on one system page can find the related problem page.
Knowing whether a page earns its place
Judge these pages by the inquiries they start, not by visits alone. A page with modest traffic that brings in two well-matched conversations a quarter is doing its job.
To know that, the form needs to record which page the visitor came from, and the CRM needs to keep it. Then, every few months, look at which pages started real conversations. Improve the ones that almost work. Merge or retire the ones that never do.
Ask your sales team as well. They will know which pages prospects mention on calls, and which ones they quietly avoid sending.
What most guides miss
Your sales team is the keyword research. Tools tell you what people searched last year in aggregate. Your first calls tell you what your buyers actually ask, in their own words.
Small numbers can be the point. A page for a specialized system might reach only a handful of people a month. If those people are exactly your buyers, with the exact problem you solve, that page may matter more than any broad one.
Pages age. Vendors rename products, change what they allow and retire features. A page you don't revisit will drift into being wrong. Keep a simple list of which pages mention which vendors, so that when one changes, you know exactly which pages to check.
Specific pages make the general ones better. A service page that links to detailed system and problem pages is more convincing than one that tries to say everything itself.
How we do it
We start with a free intro call about who your buyers are and what they ask. Then we work alongside your team to choose the pages worth writing, check every vendor fact against its source and connect each page's next step to your systems. Our own site is built this way. See websites and content for more.
Sources
- Google Search Central: Spam policies for Google web search
- Google Search Central: Creating helpful, reliable, people-first content
- Google Search Central: AI features and your website
- Bing Webmaster Blog: Does duplicate content hurt SEO and AI search visibility?
- Microsoft Advertising: Optimizing your content for inclusion in AI search answers (October 2025)
- Google Search Central: Introduction to structured data markup