A small business website needs each page to answer a question directly, with one clear topic per section, so both customers and AI assistants understand what the page covers. Then add schema markup and an llms.txt file so AI tools can read and cite your site accurately. This matters now because customers ask AI before they visit your site.
If you are planning to build a website for your business, you are probably thinking about the usual things: how many pages, what navigation looks like, whether you need a blog. But you should think about one more thing first, because it has changed. Customers now ask AI assistants like ChatGPT, Perplexity, or Google's AI before they visit your site. If your site answers a question clearly and in a way machines can read, you will be quoted. If it does not, it will be ignored, even if the information is there.
I rewrote pages one question at a time
When I redesigned the DeepConnects website, I started with the same problem every small business site has: pages that do too much. A page about my services would try to explain everything at once. A page about how I work with dental practices would jump between the problem, the solution, my background, and a call to action, all without a clear center.
I changed this by making each section answer one question directly, the way someone would actually ask it. A customer does not ask me all five things at once. They ask, 'How does a video help my business? How much does it cost? What is the process? Can I see examples?' I made each of those a section. Each section has a clear heading that names the question, a paragraph or two that answers it completely, and then it is done.
This is not about being brief. It is about being clear about what each part is for. I have a page about video production for small businesses. The question is 'why should I make video content?' The answer is straightforward: customers decide who to trust based on the first time they see you move and speak. A single paragraph does that. Then the next section answers 'what kind of video should I make first?' and so on. Each section stands alone. A customer can read just the parts they need.
The benefit to AI is the same benefit to a human reader who is in a hurry. When a system reads your page, it needs to know what each part is about. If sections blur together, the system gets confused about what you actually do. If each section answers one clear question, the system knows exactly what it found, and it can quote the right part to the right person.
Then I added a layer machines can read
Clear writing does the real work. But it is not enough. After I rewrote the pages, I added the technical layer.
The first part is structured data, also called schema markup. This is a way of labeling what is on the page. For example, I mark up my services page with schema that says 'this page lists the following services: video production, website design, AI voice systems' and describes each one. When an AI system reads the page, it knows this is a services page and what the services are. It is more reliable than trying to figure it out from the text alone.
The second part is an llms.txt file. This is a plain-text file I place on my site that tells AI tools what my business does and what pages they should pay attention to. It is newer, but it works. An AI system can read it and immediately know that I help small businesses with video, website design, and automation. It points to the most important pages so the system does not waste time on outdated blog posts or pages about internal things.
The order matters. Schema on a page that never answers anything clearly does almost nothing. A page that answers one question well and tells machines what that question is, that is the kind of page AI systems quote and recommend.
What this means when you build your site
None of this requires an expensive developer or a complicated setup. It means making decisions as you build:
- Write each page around one main question your customer would ask
- Use clear headings that say what each section is about
- Answer the question completely in that section before moving to the next one
- When the page is done, mark it up with schema so machines know what it is
- If you have multiple pages about related topics, list them in an llms.txt file
Most small business website builders now support schema markup. You may just need to fill in a field that says what page type this is and what it is about. An llms.txt file is a text file you write once and upload to your site root. Neither one is hard.
The real work is the thinking. Before you write a page or a section, ask: what one question is this answering? If the answer is 'three things,' you have three pages or three sections, not one page doing too much. This makes the page better for humans and readable for machines.
This matters now because your competitors' websites are probably still written the old way, and AI systems struggle to quote them. If yours is written clearly and marked up correctly, you will show up in the answers customers trust most.
Check your current site
If you already have a website, you can check this today. Pick a page. Read the headings. Do they answer questions, or are they vague words like 'About', 'What We Do', 'Why Choose Us'? Can you find the answer to one specific question on that page? Or does the page jump around?
Ask a question you know your customers ask out loud. Search Google for it with 'site:yoursite.com' at the end. Does your site show up? If it does, does it look like the answer is there? Or does it link to a page that talks about that thing but does not clearly answer the question?
That gap is where you lose the AI recommendation. That is also where you lose the customer who is scanning the page quickly. Fixing it pays both ways.
When you build a new site or redesign the one you have, this is the decision that matters most. Not the colors, not the layout, not the builder you choose. The structure of what you are saying. Make it answer one question per page or section. Make it machine-readable. The customers and the AI assistants will find you the same way.
I built DeepConnects this way because I understood that a customer would not come to my site first anymore. They would ask an AI assistant. So I built the site as if it was answering questions that an AI would ask on behalf of the customer. It turns out that is exactly how you build a site that works for humans too.
