Win clients.
Sell implementation.

Choose a finding the client can recognize and support it with evidence from their actual site or public information. Explain the customer or delivery problem, then propose a specific change with defined outputs, responsibilities and acceptance checks. Make clear what the audit establishes and what still needs investigation.

For example, an unclear service boundary can become a paid content and enquiry-routing project. Price and scope the work you will deliver rather than promising a ranking outcome. The proposal should let the client understand the problem, approve the approach and judge completion without needing to interpret an entire technical audit themselves.

It can be a distinct assessment or workstream when the client has a real question about public answers, accuracy or discovery. Define the scope carefully: platforms, questions, sample conditions, evidence review and the resulting recommendations. Make the limits of the observations clear.

Some findings will lead to familiar work such as service-page improvements or correcting business information. Scope that implementation openly rather than presenting ordinary fixes as a guaranteed AI shortcut. A separate service is most defensible when its method and deliverables are clear and the client can see how the findings lead to useful decisions.

Show the work completed, why it was prioritized and the evidence that it functions as intended. Include relevant search and enquiry observations with their limitations. Do not substitute a list of activities for an explanation, but do not invent a positive outcome simply because the client expects one.

If the original hypothesis is not supported, say what the evidence suggests and what you will investigate next. Distinguish implementation completion from external search response. A clear account of the decision, result and next priority gives the client a better basis for discussion than selective screenshots or unsupported claims of progress.