Ask what is being counted
A name mention, a linked citation and a positive recommendation are different observations. Ask the report author to define each measure and show examples of how results were classified.
Does the business name refer to the correct company? Does the link point to your site? An ambiguous name can make an apparently favourable count misleading.
Inspect the question set
A catering company in Seremban should know whether sampled questions resemble its customers’ needs. Questions about unrelated locations or services may produce an impressive-looking report with little practical relevance.
Ask how questions were chosen, how often they are repeated and whether the set changed between periods. Do not describe sampled prompt coverage as a complete share of all customer searches.
Keep the collection conditions visible
Record the platform, date and available context. Google’s AI guidance explains that different experiences can produce different responses and links.
A comparison becomes harder to interpret when both the question set and collection method change. Keep those changes in the report rather than presenting every movement as a website improvement or decline.
Check a sample manually
- Open representative recorded answers.
- Confirm the business identity.
- Inspect the cited pages.
- Check whether the sources support the statements.
- Record classification errors or uncertainty.
The citation review guide provides a practical checklist. A screenshot is evidence of an observation, not a guarantee of persistent visibility.
Connect observations with useful work
If the report reveals a wrong service description, investigate the source information. If it suggests a missing customer answer, verify that need before publishing another page.
Review actual visits and enquiries separately where measurement allows. An increase in sampled mentions does not establish more sales.
Use the measurement guide and the content review guide to choose an action with a clear purpose.