By John Wheeler, founder of Wheeler Intelligent Systems LLC
A buyer lands on your website with a problem to solve. They may have found you through LinkedIn, a search engine, a referral, or an AI assistant. They want to know whether your company can help.
Your home page looks good. It says you offer quality products, great service, and years of experience. But the buyer still cannot tell whether you serve their area, handle their type of order, or offer the specific help they need.
That leaves them with a choice: contact you and ask basic questions, or keep looking.
I am John Wheeler, founder of Wheeler Intelligent Systems LLC, which I call Wheeler IS. My work explores practical business uses of AI, including AI findability, product information readiness, and dependable ways to connect AI with business systems. My background includes more than 30 years of working in business, finance, operations, and technology.
One question connects much of that work: Does the available information help someone make the next decision?
For this article, that decision is whether a buyer should put your business on their short list. It is a useful question for a human reader and a useful question to test with an AI assistant.
Being Described Correctly Is Only the Beginning
In earlier articles, I discussed how to test whether AI can find and explain your business. That is an important starting point. But a correct summary can still leave a buyer with too little information to act.
Consider a description such as, “This company supplies food products to commercial customers.” It may be true. It does not tell a restaurant owner whether the supplier handles frozen products, serves their location, or accepts orders of their size.
The same problem appears in professional services. “We help businesses use technology” may describe the work, but it does not explain whether the firm offers training, software development, system setup, or advice.
A buyer needs enough detail to judge fit. If we want to understand AI findability in a useful business context, we should test more than whether a company name appears. We should also ask whether the public information supports the buyer’s actual need.
Start with a Buyer Who Has a Specific Problem
Imagine a fictional restaurant group with three locations in Washington. Its purchasing manager is looking for a frozen breakfast product that staff can prepare quickly.
The manager has several questions. What is the portion size? How many portions come in a case? What equipment is needed? Which allergens are present? How much freezer space will an order require? How does the restaurant obtain the product?
A page that says “delicious breakfast solutions” does very little to help answer those questions. An attractive image may show the product, but it cannot explain every detail that affects the purchase.
Now imagine a small manufacturer looking for help with product information. Its problem may be that case sizes differ between spreadsheets and sales sheets. It needs to know whether a potential adviser understands product records, packaging details, and the connection to its ERP system.
Both buyers are trying to reduce uncertainty before starting a conversation. Your public information should help them do that.
These examples are fictional. They illustrate questions to examine, rather than results from a customer engagement.
Give Each Page a Clear Job
One page rarely needs to explain everything about a company. But each important page should have a clear purpose.
Your About page can establish who you are and why your experience matters. A product page can explain one product. A service page can explain one kind of help. A guide can teach the reader how to approach a problem.
Trouble starts when those purposes blur. A service page may spend most of its space on the founder’s story. A product page may repeat the company mission while leaving out the package details. A blog post may describe a possible future service in language that makes it sound available today.
Before adding more content, ask what decision each page should support. Then check whether the information needed for that decision is actually there.
For a buyer deciding whether to contact you, the page should explain the problem you address, whom the work suits, what is available, and the next step.
Six Questions Your Public Information Should Answer
The exact questions will differ by business. These six provide a practical starting point.
| Buyer question | What a useful page should explain |
|---|---|
| What do you provide? | A named product, service, or type of help described in plain language. |
| Who is it for? | The customer, use, industry, or business situation it suits. |
| Will it work for my needs? | Relevant requirements, features, scope, and limits. |
| Can I obtain it? | Service area, sales channel, availability, or how to check availability. |
| Why should I trust the description? | Current specifications, relevant experience, or evidence you may publish. |
| What should I do next? | A clear contact, order, inquiry, or learning path. |
You do not need to publish every detail. Some work requires a conversation before a quote or recommendation is possible. But the page can explain what that conversation will cover and what the buyer should bring.
That is more helpful than making a visitor guess.
Product Details Should Match the Way People Buy
For manufacturers and distributors, product information needs to reflect the decisions buyers make.
A foodservice buyer may care about case count, preparation, storage, and allergens. A purchasing team may also need item identifiers and clear packaging descriptions. Different people may use the same record for different purposes.
This is one reason I am interested in research-backed product information management, often called PIM. The starting point is understanding which information the intended audience needs, then checking the facts and keeping them consistent.
ERP systems matter here because product details are connected to daily work. Packaging, units of measure, inventory, and pricing do not exist only on a marketing page. My research at Wheeler IS includes how product information can connect with business systems such as Microsoft Dynamics 365 Business Central.
The public page is one part of that larger information chain. When a detail changes, someone needs to know which other records and documents require an update.
Service Firms Need Specifications Too
A service may be less easy to measure than a case of food, but buyers still need a clear description.
Suppose a firm offers a workflow review. What does the review include? Does the client receive a written report? Does it examine one process or several? Is implementation included? What information does the client need to supply?
Those answers help a buyer judge whether to inquire. They also help prevent two people from entering a conversation with very different expectations.
For Wheeler IS, this means being clear about the status of our own work. Research, an internal test, a prototype, and an available service are different things. We should describe each accurately.
At present, I am exploring AI findability and product information readiness through research and controlled experiments, including work on Wheeler IS’s own public presence. That work is a basis for learning. It is not a promise of a particular customer result.
Test the Questions Your Pages Leave Unanswered
You can begin with a simple exercise. Choose one product or service page and write down five questions a serious buyer would ask before contacting you.
Have someone who is less familiar with the business read the page. Ask them to answer those questions using only what it contains. Notice where they have to guess.
You can also ask an AI assistant to review the supplied page. Ask it to identify which questions the text answers, which it leaves open, and which answers would require an assumption.
Keep the purpose of that exercise clear. Giving an assistant your page tests whether it can interpret supplied information. It does not test whether an independent buyer would discover the page.
To examine discovery, run a separate test without supplying your description. Record the question, tool, answer, and sources. Then check whether the cited pages actually support the claims.
Keeping those tests separate makes the results easier to understand.
A Missing Answer Is a Useful Finding
It can feel disappointing when a reader or an AI tool cannot answer a basic question about your business. But a specific missing answer gives you something concrete to improve.
Perhaps your page says where your office is but never says where you provide service. Perhaps a product image shows a retail package while the buyer needs case information. Perhaps your contact form asks for a message without explaining which details would help you respond.
These are manageable changes. You can correct one gap, publish the update, and check again.
The goal is to reduce the amount of guessing required. More words alone will not accomplish that. A short, accurate explanation may be more useful than several paragraphs of broad claims.
Put Important Facts Where Readers Need Them
A useful fact can be difficult to find if it is buried in an old article or spread across several pages.
Put the main product or service facts on the page where the buyer expects them. Use related articles to explain the reasoning, show examples, and provide deeper context.
For my own work, that means connecting John Wheeler, Wheeler Intelligent Systems, and the subjects I cover through clear descriptions and relevant links. It also means giving each article a distinct job rather than repeating the same company introduction.
You can learn about my background on the About John Wheeler page, explore the business at WheelerIS.com, and read practical articles here on JohnWheeler.blog.
Those pages should work together to help a reader understand the person, the business, and the problem being discussed.
Make the Next Conversation More Useful
A strong public page does not have to complete the sale. It should help the right person take a sensible next step.
That person might arrive through LinkedIn, search, an AI answer, or a colleague’s recommendation. Wherever they begin, clear information can give them a better basis for deciding whether to contact you.
For business leaders exploring AI findability, this is a practical place to start: choose one important page and ask whether a buyer can judge fit from what it says.
What basic question do prospects repeatedly ask your business before they can decide whether to work with you?
That question may point to the most useful page improvement you can make next.