A scope you can understand
Agree the service, audience and public pages under review. Establish whether the work includes a small question sample or a broader research exercise. Confirm the platforms covered and whether private analytics or Search Console access is part of the engagement.
An initial public-website review cannot provide the same evidence as a detailed audit with account access and implementation testing. Both can be useful, provided the boundaries are clear. Ask how the agency will decide whether your business is a suitable fit before promising a long list of deliverables.
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Evidence attached to the findings
A finding should identify the page or question, describe the observation and explain why it may matter. Sampled AI answers should record their platform, date and context. A missing citation should not automatically be described as a technical defect.
Website findings need the same discipline. “Your content needs improvement” is too broad to act on. “The service page does not explain the onboarding steps that prospects ask about” points to a specific content decision. Ask which observations were directly checked and which still require validation.
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Priorities that lead to implementation
Request a short, ordered action list with responsibilities. A good recommendation explains the problem, proposed change and a way to verify completion. Separate essential access fixes from content opportunities and longer-term work.
For a hypothetical construction business, three priorities might be clarifying project suitability, explaining the enquiry-to-quote process and replacing unverified claims with approved project evidence. These examples demonstrate the format; they are not findings about any specific company.
- Observation: what was seen and where.
- Action: what should change and who should approve it.
- Verification: how to confirm the change is correct.
- Review: what evidence to revisit afterwards.
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Honest measurement and limits
Ask whether a visibility score comes from a disclosed question set and repeatable method. A number without a clear denominator or sampling method is difficult to interpret. Ask how enquiries will be recorded and how your team will assess suitability after submission.
Do not buy a promise of mandatory “AI schema” or guaranteed Google inclusion. Google says no special schema is required for its AI features, and meeting its requirements does not guarantee crawling, indexing or display.
Sources: Google Search Central: AI features and your website
A clear distinction between the free review and paid work
Koveira’s free initial AI visibility review focuses on one priority service and a small set of buyer questions, after confirming fit and scope. It covers selected answer observations, key public-website gaps and three recommended priorities. It is a manual review rather than an instant score.
Detailed technical investigation, private account analysis, content production and implementation are scoped separately. You should know what you are receiving before agreeing to paid work. No account access is needed to make the initial enquiry, and there is no obligation to proceed.