How can an agency use an AI readiness audit in client work?
An agency can use an AI readiness audit to identify gaps in crawler access, business information and answers to buyer questions. Turn each relevant finding into a scoped task, identify the page and person responsible, then run a comparable report after publication. This creates an evidence trail for the work without promising future AI citations.
Illustrative brief: a client says ‘improve our AI visibility’. The sampled service page never explains how quotes work. A specific deliverable is to publish the quote process, link it from the service page and check that the next crawl can read it.
01
Scope a useful first engagement
Run an authorised audit before writing a proposal. Separate technical access issues from missing business information so the deliverables are specific enough to review.
- Identify which pages need attention.
- Tie proposed edits to a report category.
- Explain the limits of the crawl alongside the result.
02
Make the handover easier to review
Use the report's evidence and improvement suggestions to brief developers and content owners. For example, a pricing gap might call for a clear quote-process section rather than a new pricing page.
- Assign work according to the actual change required.
- Keep implementation notes alongside the relevant report.
- Ask the client to verify business facts before publishing them.
03
Return with a new baseline
After changes go live, run a report with a comparable scope. Use the new evidence to review the work without presenting a score change as proof of future traffic or revenue.
- Saved reports support the ongoing conversation.
- Monitoring options are listed on the pricing page.
- Model-based visibility results are variable; keep them distinct from website checks.