Learn to review whether AI sends the right expectations about your business.

Save the exact answer and check its displayed sources. Review your service pages, biographies and directory entries for ambiguous lists or old wording that includes payroll. Correct those descriptions to reflect the actual offer, and explain any referral relationship accurately rather than presenting it as your own service. If an outside listing is wrong, request an edit and track whether it is completed. Report the misleading answer where the platform provides a feedback route. Keep the error in your review log and test comparable questions later. Do not count the recommendation as successful simply because your name appeared; the important issue is whether it creates an expectation you can meet.

Compare concrete identity details: business name, website address, location, telephone number, professional biography and software profile. A matching name alone is insufficient, especially when practices have similar trading names or a person has moved firms. Save the incorrect association and open the cited pages. Correct outdated identity information you control and request updates from the relevant directory if necessary. Keep separate notes for your own facts and the other business's public information so the correction is precise. If the source of the mix-up is unclear, record that limitation and report the answer. Avoid changing accurate branding merely to chase one unexplained result.

No client records are needed to assess how your practice is represented publicly. Supply an approved description of services, qualifications, software experience, client types and locations served. The reviewer can test fictional prospect situations and inspect public pages and listings. If a proposed audit asks for transaction files or client identities, ask which marketing question requires them and use a less sensitive alternative. Keep any website analytics or inquiry reporting limited to the information needed and your normal access controls. This review concerns discovery and service accuracy; it is separate from assessing bookkeeping quality, automating financial work or giving advice about an individual client's records.

State what was tested, on which platform and date, and distinguish branded questions from general provider searches. Report mentions separately from accuracy, citations and actual client inquiries. Include the number of scenarios and any repeated runs so the reader understands the sample. Show specific findings and the corrections completed, with unresolved items clearly marked. Avoid claiming a permanent position or market-wide visibility from a few favourable responses. When a later answer changes, describe the observation without automatically attributing it to one edit. A useful report gives the practice a clear record of information quality and next actions while preserving the uncertainty inherent in the sample.