When a business is missing from an AI answer, a website rewrite can seem an obvious response. The useful question is which part of the site needs to change and what problem that change will solve.
The examples below show improvements you can assess directly. They may also support discovery, but none should be presented as a guaranteed way to earn an AI recommendation. All examples are fictional and illustrate copy decisions, not measured client results.
Explain the service behind the headline
Before: “Innovative solutions for ambitious businesses.”
After: “Monthly bookkeeping for small UK employers. Support includes transaction reconciliation, routine reporting and preparation of records for your accountant. Payroll and year-end accounts are quoted separately.”
The revised copy lets a visitor assess fit. Before publishing, the business must check that every inclusion and exclusion is accurate. The objective is to communicate the actual offering, rather than add technical terminology around a vague promise.
Explain what happens after an enquiry
Before: “Contact us to transform your business.”
After: “Tell us which bookkeeping tasks you need help with and the software you use. We will confirm whether the work fits our service before arranging an initial conversation.”
This gives the customer a useful next step. Only include response times, free consultations or other commitments if the business can fulfil them. Review the quality of enquiries after the change, rather than assuming more form submissions always mean better outcomes.
Replace unsupported claims with assessable evidence
Before: “The UK’s leading specialists.”
After: “Our assessment explains what was checked, what the evidence shows and which changes should come first. Recommendations include an owner, an effort estimate and a review method.”
The second statement describes a process a customer can inspect. If you have permission to publish a real sample, show a relevant extract. A fictional sample can also explain the format, provided it is clearly labelled and carries no invented performance result.
Put important information where people need it
Suppose the service page promises support for multiple locations, while limitations appear only in a downloadable brochure. Bring the decision-critical details onto the relevant page and link to the brochure for supporting depth.
Give links descriptive labels, such as “See what the monthly service includes”. Check that the destination is current and that the page works on a phone. These changes reduce the amount of investigation a customer must do before making a sensible decision.
Keep public descriptions aligned
A website might describe a pre-launch research project while a directory calls it a full-service agency. Correct that mismatch. Use the same accurate business name, website and core description, with platform-specific detail where it helps the audience.
Consistency does not require identical copy everywhere. It requires the descriptions to agree on the facts. Record which profiles you control so updates do not leave older claims behind.
Evaluate each change on its own terms
Before editing, record the problem and the evidence. Afterwards, confirm the correction is visible, links work and any structured data still reflects the page. Review customer behaviour and search observations separately.
If several pages, profiles and campaigns change together, it will be harder to attribute a result to one intervention. Keep a dated change log and avoid turning a useful improvement into an unsupported success story.
Use the AI search visibility checklist to choose a focused starting point, or browse the other VisibleShift guides.