What is Wardith?
A small business with one job: making sure that when your customers ask an AI assistant to recommend someone who does what you do, your name is in the answer.
Why does Wardith exist?
Because something is changing that most businesses can't see. People now ask ChatGPT, Google, Copilot or Perplexity for recommendations they would previously have researched themselves. The businesses being recommended mostly have no idea why, and the businesses being left out have no idea it's happening.
Many of the things that influence whether a business can be understood and recommended are unglamorous and fixable: whether the AI systems can read your website, whether the facts about your business agree with each other across the web, and whether anything you've published actually answers the questions customers ask. Almost no small firm has had this looked at. That is the work Wardith does, at prices a small business can justify.
How do we work?
Plainly
We write reports in ordinary English, we price in round numbers, and we tell you when you don't need us. Our audit exists partly so we can say "you're fine" and mean it.
Honestly about uncertainty
Nobody controls what an AI assistant says. We work on the inputs we can observe and influence, and we measure what happens, but we separate what we can demonstrate from what we're inferring. We don't show numbers that can't be checked.
In the open
This website is built with the same methods we sell. Everything on it is readable by the AI crawlers, the facts are stated in machine-readable form, and the FAQ answers real questions. If the approach works, you'll be able to see it working on us.
And we'd rather you checked than took our word for it. We've published the prompts for interrogating this business, and any other provider you're weighing up, along with the audit we ran on ourselves before selling one to anybody.
Who's behind it?
Wardith is run by Kieran Smith, from the Wirral, UK. One person does the work. When you email Wardith, you're emailing him, and the report you get back is one he wrote.
Kieran spent eight years in operations at Maersk, making sure containers were sent and arrived as planned. That work is mostly about keeping information accurate and consistent across systems that don't naturally agree, and noticing when one of them is quietly wrong — which turns out to be a large part of what this work is too. The full work history is on LinkedIn.
He came across this problem by chance while building a few websites: the gap between what a business publishes about itself and what an AI assistant actually believes about it. Rather than assume, he started testing it properly — the same question put to several assistants, repeatedly, and the answers written down. The first business he ran the finished method on was his own. It failed badly enough that the company changed its name, and Wardith was built around the method rather than the other way round. Read the audit that led to the name change.
Wardith is available to clients across the United Kingdom, and the work is done remotely — there's nothing about it that needs us in the same room.
Small enough that you always know who did the work.
Everything is agreed in writing, so there's a record of what was promised.