If your website is unclear, hard to find or producing the wrong enquiries, the first decision is not which package to buy. It is whether the problem sits in the website, the surrounding business information or the route to contact. Arunaksha’s free diagnostic is designed to make that decision clearer before paid work is scoped.
What the diagnostic reviews
The review uses information that is already public, together with the details supplied in the enquiry. Depending on what exists, that can include:
- whether the website states what the business does, who it serves and where it operates
- whether important contact and service details agree across the website and relevant public profiles
- whether a visitor can find useful trust information and a clear way to enquire
- whether the existing website can support a focused improvement or needs a stronger foundation
You do not need a website to request the diagnostic. If there is no website, the review starts with the business information and public presence that already exist. The current request form and scope are described on the AI Visibility Diagnostic page.
What you receive
You receive practical observations about what appears clear, what needs attention and what the most sensible next step may be. That recommendation might be a focused visibility improvement, a new website foundation or a smaller correction the business can make without a project.
The diagnostic is a decision aid, not a promise that paid work will be recommended.
What it deliberately does not do
It does not produce an official Google, OpenAI, ChatGPT or Gemini score. It does not guarantee a ranking, AI citation, recommendation, traffic level or number of leads. Those outcomes depend on third-party systems and customer behaviour that no diagnostic controls.
It also does not turn an initial review into an open-ended implementation commitment. New pages, technical work and ongoing optimisation need their own agreed scope.
How to use the recommendation
If paid work makes sense, the scope and price are agreed before work starts. The current AI Business Launch System and AI Visibility Upgrade pages remain the source of truth for their public scope and pricing.
The decision rule is simple: choose the smallest responsible intervention that fixes the diagnosed problem. Do not commission a rebuild to solve an isolated content or contact issue, and do not keep patching a foundation that cannot support the required changes.
Key takeaway
A useful diagnostic should identify the problem and the proportionate next step before implementation is priced.