Insight
Why “just add AI to the website” usually fails, and what works instead
There is a lot of pressure to put AI on your website right now, and a lot of AI that has been added to no real effect. A chatbot that annoys customers. A plugin that writes pages nobody reads. The technology is rarely the problem. The approach is. Here is why “just add AI” tends to fail, and what works instead.
Starting with the tool, not the job
Most disappointing AI projects start with “we should use AI” and go looking for somewhere to put it. On a website, that usually means a chatbot in the corner of every page. That is backwards. AI is a tool, and tools work when they are pointed at a specific job. The businesses getting value from it started with something slow, repetitive or hard to see, and asked whether AI could help.
The chatbot problem
A chatbot on your website talks to your customers, which makes it the riskiest place to start. It can only work from what it has been given, so it either repeats what is already on the page or fills the gaps with something plausible and wrong. Visitors who wanted a person get a script, and every wrong answer about a price, a delivery date or an opening time is given in your name.
Good chatbots exist. But for most small businesses, a chatbot answers questions that a clearer page would have answered better.
More words, not better ones
The other common move is AI-written content: plugins that turn out blog posts, product descriptions or whole pages at the click of a button. It is quick, and it shows. Pages written for nobody in particular help nobody in particular, and they bury the pages that were actually useful.
Pointing AI at the right job
The job AI does brilliantly for a website is not talking to your customers. It is helping the people who run the site understand it:
- Which pages are out of date, and what they say that is no longer true.
- What sold last month, and which products get looked at but not bought.
- Where visitors came from, and which pages they left from.
- Why one page is slower than the rest.
Questions like these used to mean logging into three dashboards and piecing the answer together, so mostly nobody asked. Asked in plain English, of an AI that can read the site itself, they get answered in seconds.
Keeping a person in the loop
Understanding is only half of it. When the answer is “that page needs fixing”, someone still has to fix it properly, with a backup taken first. That is not a job to hand to software that can misread an instruction. We explain why in agentic AI and your website.
So the pattern that works is the one behind every useful tool:
- Start with a real question about the site, not with the technology.
- Let the AI read, explain and draft.
- Let a person make the change, and check it.
- Compare before and after, so you know it helped.
How we set it up
This is what Wrev is built around. You connect the AI you already use, such as ChatGPT, Claude or Grok, to your site through a read-only connection. You ask it anything about the site, and it answers from the real thing. When something needs changing, you say so, and it goes to our developers as a request. The AI never gets a WordPress login. Book a demo if you want to talk it through.
Speak to a developer, not a salesperson.
Pick a time that suits you and bring whatever you want to ask.
