Your Website Has a New Audience: AI Agents
For most of the internet's history we built websites for two audiences: people and search engines. There's now a third, and it changes what your website has to do.
TL;DR
Your website has a new audience. AI systems are increasingly involved in how people research products, compare alternatives, answer buying questions, and discover brands. This doesn't mean redesigning your site for robots. It means the information surrounding your brand needs to become clearer and more complete.
An AI system trying to understand your company may need answers to questions like:
- What do you sell, and who is it for?
- What problem does it solve, and when would someone use it?
- How is it different, and what does it cost?
- Does it fit this specific situation, and how does it compare with alternatives?
- What evidence supports your claims, and what do customers commonly ask?
Those happen to be many of the same questions your customers have. That's the opportunity. Build a website that's exceptionally useful to humans and exceptionally easy for machines to understand.
The easier your brand is to understand, the easier it is to recommend.
Your Website Isn't Just Talking to Customers Anymore
For most of the internet's history, we built websites primarily for two audiences: people and search engines. People needed to understand the brand, evaluate the product, and decide whether to buy. Search engines needed to crawl the website, understand the pages, and determine when they should appear in search results.
That basic model still exists. But there's now another audience brands need to consider: AI.
AI systems increasingly retrieve, interpret, summarize, compare, and surface information about products, services, and brands. A customer doesn't necessarily need to visit your website first to start evaluating your company. They can ask an AI system, "What's the best product for my situation?" or "Compare these three brands," or "Which one would work for someone with these specific requirements?" The AI may then gather information from across the web to help formulate an answer.
That means your website has another job. It doesn't just need to persuade someone who lands on it. It needs to make your company exceptionally easy to understand.
The easier your brand is to understand, the easier it is to recommend.
The Way Customers Research Products Is Changing
Think about how someone traditionally researched a purchase online. They might search Google, open five tabs, visit a few websites, read product pages, look at reviews, search Reddit, watch a YouTube video, compare specifications, and go back to Google. Eventually they assemble enough information to make a decision.
AI can compress parts of that process. Instead of performing 10 individual searches, someone can ask:
"I'm looking for a carry-on suitcase under $500. I travel twice a month for work, usually for three or four days, need a laptop compartment, and care more about durability than weight. What should I look at?"
That's a completely different type of interaction. The customer isn't just providing a keyword. They're describing a situation. The AI system now needs to understand products, plus attributes, plus customer needs, plus context, plus tradeoffs. That's far more sophisticated than matching "carry-on suitcase" to a page containing the words "carry-on suitcase."
And it creates an important question for every brand: does the internet contain enough clear information about your products for an AI system to understand when they are, or aren't, a good fit?
Your Product Page Might Not Be Enough
Most ecommerce product pages were built to answer a relatively predictable set of questions: product name, images, price, features, dimensions, description, reviews, add to cart. That's a good start. But consider everything someone might need to know before making a confident recommendation.
Take a dog seat cover as an example. A traditional product page might say: "Waterproof rear seat cover made from durable materials with adjustable headrest straps and seat belt openings." Useful information. But imagine someone asks an AI system:
"I have a 90-pound Labrador and two kids. We go hiking every weekend, so the dog gets muddy. I have leather seats, still need one side of the back seat available for my daughter, and I don't want to remove the cover every time she gets in. What type of seat cover should I get?"
Now we have a very different information problem. The system needs to understand a whole situation at once:
Does your website explain those things? Not buried somewhere in a product description, but clearly enough that someone, or something, can connect the customer's situation to the right solution? That's the shift.
The Questions Your Website Needs to Answer
One of the easiest ways to prepare your website for AI-driven discovery is to stop thinking only about pages and start thinking about questions. For every important product or service, ask whether your website clearly answers the following.
| The question | What to make clear |
|---|---|
| What do you sell? | The product, category, and core function, in plain language. Creativity can support clarity; it shouldn't replace it. |
| Who is it for? | The audiences and situations where it makes sense, and who probably doesn't need it. |
| What problem does it solve? | The problem behind the feature. "600D polyester" is a feature; protecting seats from mud, hair, and scratches is the problem. |
| When would someone use it? | The situations, seasons, and events that create the need, from travel to winter to job sites. |
| How is it different? | The specific material, construction, patent, testing, or design advantage. "High quality" is not differentiation. |
| What does it cost? | Clear pricing where possible, why it varies, and what a premium tier actually adds. |
| Does it fit my situation? | Guidance by size, model, vehicle, budget, experience level, environment, and configuration. |
| How does it compare? | Honest comparisons, including when a different option is the better choice. |
| What proof supports the claims? | Testing, certifications, original research, reviews, demonstrations, case studies, and expert experience. |
| What do customers commonly ask? | The repeat questions from your support inbox, answered publicly and structured clearly. |
Customers rarely want the objectively "best" product. They want the best product for me. The more context you provide, the easier it is to connect a product to the right situation.
Good comparison content builds trust
Customers compare. Pretending they don't doesn't prevent it. Explain the differences: Product A vs. Product B, basic vs. premium, one material vs. another. Good comparison content doesn't need to say "we're always better." Sometimes the most authoritative answer is, "If you need X, choose this. If you need Y, the other option may make more sense." That's useful, and useful information builds trust. This connects directly to the authority and trust principles brands already learned from Google's E-E-A-T framework: make claims, then support them.
This Is Where Your Content Becomes Important
Your product pages can't, and shouldn't, answer every possible question. That's why your broader website matters. Your website should become the knowledge base for your brand. Product pages establish the product. Supporting content establishes the context around it:
- Buying guides and comparisons
- FAQs and use cases
- Educational articles and expert perspectives
- Testing, research, and case studies
- Installation and compatibility information
- Videos and documented customer questions
Together, these pieces create a much richer picture of your company. You're no longer simply telling the internet "we sell this." You're explaining: "We sell this, here's who it's for, here's the problem it solves, here's when it makes sense, here's how it works, here's how it's different, and here's why you can trust what we're saying." That's a much stronger information foundation.
So What Is Agentic Commerce?
This is where you'll hear a term much more frequently: agentic commerce. Don't overcomplicate it. At a basic level, it describes a world where AI systems increasingly help people complete parts of the shopping process. Today someone might ask AI what to buy. AI helps research, compares options, summarizes, and recommends. Over time, these systems can increasingly help with additional actions in the buying process.
The further AI moves along that path, the more important accurate product and brand information becomes.
Imagine shopping with an AI agent
Imagine telling an AI assistant:
"I need a new office chair. I'm 6 feet 3, work from home eight hours a day, occasionally have lower-back discomfort, don't like mesh seats, want adjustable arms, and don't want to spend more than $1,200. Find me three good options."
Think about what the agent needs to know: dimensions, materials, price, features, use cases, availability, potential limitations, reviews, brand credibility, comparisons, and maybe warranty, returns, and shipping. The quality of the recommendation depends partly on the quality and accessibility of the information available. That's why your website's role is expanding.
Your Website Is Becoming a Data Source for Decisions
Brands traditionally thought about websites as destinations: get someone to the website. That remains important. But increasingly, your website can also function as a source of information used somewhere else. Someone may learn about your brand through an AI-generated answer. They may encounter a product comparison before visiting you. They may ask questions about your company inside an AI interface, or use an assistant to narrow 20 possible products down to three. Then they visit your website. Or, as agentic commerce evolves, parts of that journey happen with even less direct interaction with your site.
That changes the question. Instead of only asking how to get more people to your website, brands should also ask:
How do we make the information on our website easier to understand and use wherever discovery happens?
Don't Build a Website for Robots
There's a danger here. Brands will hear all of this and start trying to "write for AI." That's not what we're suggesting. Your customers and AI systems often need the same thing: clear answers.
●People want
- To know who a product is for
- Comparisons between options
- Proof behind the claims
- Clear pricing
- To understand real differences
●AI systems need
- To understand who a product is for
- Comparison information to reason with
- Evidence and corroborating sources
- Accurate pricing to assist shopping
- Clear attributes and context
This isn't humans versus machines. Clarity helps both.
Make Your Brand Easy to Understand
Here's a simple exercise. Pick your five most important products or services. For each one, answer these:
Now go to your website. Can you easily find all those answers? If you can't, neither can your customer, and the information available to AI systems may be incomplete as well. Those aren't simply website problems. They're content opportunities.
The easier your brand is to understand, the easier it is to recommend
Imagine two companies. Both sell excellent products.
Hard to understand
- Thin product descriptions
- Limited FAQs
- Generic marketing claims
- Little comparison content
- Few documented use cases
- No meaningful testing
- Information scattered or missing
Easy to understand
- Clearly explained products
- Documented use cases
- Common questions answered
- Specifications and comparisons
- Published testing
- Demonstrated expertise
- Accurate, current information
Which brand provides more information for someone trying to make a confident decision? That's the opportunity. Not gaming an LLM. Not stuffing "AI keywords" into pages. Not chasing a secret optimization trick. Be easier to understand.
You don't need an "agentic commerce strategy" yet
You don't need to walk into your next marketing meeting and announce a 47-page agentic commerce strategy. Start simpler. Make your information better, clearer, and more complete. Answer more questions. Structure those answers logically. Document your expertise. Provide evidence. Build connections between products, problems, audiences, and use cases. Keep the information current. Do that consistently. You're improving the experience for today's customers while preparing your information foundation for how tomorrow's customers may shop.
Frequently Asked Questions
What is agentic commerce?
Agentic commerce describes a world where AI systems increasingly help people complete parts of the shopping process, from researching and comparing options to recommending them and, over time, helping take action. The progression looks like search, research, compare, recommend, act.
Do I need to write my website for AI or robots?
No. Your customers and AI systems usually need the same thing: clear answers. People want to know who a product is for, how it compares, what proof supports the claims, and what it costs, and AI systems need the same information to reason well. Clarity helps both.
Isn't my product page enough?
Often not. A product page answers a predictable set of questions like price, features, and dimensions, but it can't hold every situation, comparison, and use case. Supporting content such as buying guides, comparisons, FAQs, and use cases establishes the context around the product.
Do I need an agentic commerce strategy right now?
Not a complicated one. Start by making your information clearer and more complete: answer more questions, structure the answers logically, document your expertise, provide evidence, and keep it current. That improves the experience for today's customers while preparing for how tomorrow's customers shop.
How do I make my brand easier for AI to understand?
Pick your most important products or services and clearly answer what it is, who it's for, the problem it solves, why someone would choose it, when it's useful, how it's different, what it costs, what situations it fits, how it compares, what proof supports the claims, and what customers commonly ask. Then make sure those answers are easy to find on your site.
Your Website Has Another Job Now
Your website still needs to convert. It still needs good design, great photography, compelling product pages, strong offers, and SEO. None of that goes away. But your website now has another job: it needs to make your company understandable to the systems increasingly helping customers make decisions.
Tell them what you sell. Explain who it's for and the problem it solves. Describe the use cases. Make your differences clear. Publish your pricing when possible. Answer compatibility questions. Create honest comparisons. Support your claims. Answer the questions customers actually ask. Build a useful knowledge base around your products and expertise.
You don't need to predict exactly how agentic commerce will develop, and you don't need to chase every new AI acronym. Start with something much simpler: make your brand exceptionally easy to understand.
The easier your brand is to understand, the easier it is to recommend.
Want AI to recommend your brand?
See exactly where you stand with a free visibility audit.
Get Your Free Audit