How to use AI on a company website without making it worse

Almost every company I talk to is under some pressure to "add AI" to their website. Sometimes it comes from a board member, sometimes from a competitor's launch, sometimes from a vendor demo that looked impressive for ten minutes.

I use AI tools every week, and I think they can make a website better. I have also seen them make a site slower, vaguer, and less trustworthy. The difference usually comes down to one question: does this help a visitor get something done, or does it just signal that you are keeping up?

Where AI genuinely helps

The most useful AI work on a website is often invisible to visitors. It happens behind the scenes, in the hands of the people who maintain the site.

• Drafting, not publishing. AI is good at turning rough notes into a first draft of a service page, a FAQ, or a product description. A person who knows the business should still rewrite it. The draft saves time; the edit is where the value comes from.
• Site search. If your site has a lot of content, search that understands what people mean rather than only matching exact words can help visitors find the right page. It works best when it returns your real pages, not a generated summary.
• Support triage. Classifying incoming form submissions or support requests so they reach the right person faster is a quiet, low-risk win. Nobody outside the company sees the AI, but customers feel the faster response.
• Alt-text drafts. AI can suggest image descriptions for large libraries of photos. These drafts need review, because a model does not know why an image is on the page, only what is in it. Still, it turns an overwhelming task into an editing pass.
• Careful personalization. Showing a returning visitor the industry page they read last time, or defaulting a form to their region, can be helpful. Keep it modest and predictable.

Where it makes things worse

The failures tend to share a pattern: AI is given a public-facing job without the facts, oversight, or limits it needs.

• Generic copy. AI-written pages tend to sound like every other AI-written page. They are fluent and say very little. Buyers notice, and a vague homepage makes a company look interchangeable at exactly the moment you want to stand out.
• Chatbots that invent answers. A chat assistant that confidently quotes a price you do not charge, or describes a return policy you do not have, creates real problems. Depending on where you operate, it may also create obligations you did not intend.
• Privacy creep. Sending visitor messages, form contents, or behavior data to a third-party model raises questions about where that data goes and how long it stays there. Your privacy policy has to match what the site actually does.
• Weight and slowness. Many AI widgets load a lot of script. If the chat bubble delays your page from becoming usable, you have traded a known cost for a speculative benefit.

If a feature would embarrass you when it gets something wrong in front of a customer, it needs a human in the loop or it should not ship.

A sensible way to decide

I treat AI features the same way I treat any other feature on a build: it needs a job, an owner, and a way to tell whether it is working.

Start with the visitor's problem, not the technology. "People cannot find the right case study" is a problem. "We should have AI" is not. Once the problem is clear, AI may be the right tool, or a better navigation menu might solve it for a fraction of the effort.

Then ask who maintains it. Every AI feature depends on the content it reads. If your service pages are out of date, an assistant built on them will be out of date too. The content system matters more than the model.

Finally, decide how you will measure it before launch. That might be fewer support emails on a topic, more completed quote requests, or better search-to-click rates. Set up analytics that can actually answer the question.

A practical checklist

Before any AI feature goes live on a company website, I want a clear yes to each of these:

• It solves a specific problem visitors or staff actually have.
• It only draws on content you have written and approved.
• It cannot state prices, policies, or commitments that are not in that content.
• It is clearly labeled as AI where a visitor interacts with it directly.
• There is an easy path to a real person.
• You know what data it sends to third parties, and your privacy policy says so.
• It does not push your pages past their speed budget.
• It works with a keyboard and a screen reader.
• Someone on your team owns it and reviews what it does.
• You have a way to turn it off quickly.

If a feature fails more than one or two of these, it is usually better to wait. The tools are improving quickly, and a feature that is not ready this quarter may be easy to do well in the next one.

What I would do first

For most growing companies, the best first move is not a visitor-facing chatbot. It is using AI internally to keep content accurate and current: drafting updates, flagging stale pages, suggesting alt text, and sorting inbound requests. That work makes every later AI feature safer, because the foundation it reads from is solid.

The practical takeaway is simple. Use AI where a mistake is cheap and a person reviews the output, be cautious where it speaks for your company in public, and never let it outrun the accuracy of your own content. If you want help deciding which AI features belong on your site, start a brief.