Learn to turn AI answers into useful marketing observations.

Define what the assessment is supposed to reveal

An assessment should answer a business question, such as whether a provider is described accurately for its most valuable service. It should not begin with a score whose meaning nobody can explain. Choose the services, markets and customer decisions to examine before selecting prompts.

Create distinct groups of questions. Branded questions test what a system says about a named business. Unbranded comparison questions test which providers appear for a need. Informational questions test whether useful advice or a source page is surfaced. Keep the groups separate: success on a question that names your business does not prove discovery by someone who has never heard of it.

Use questions drawn from enquiries and sales conversations. Include constraints that matter, such as property type, service scope or location. Avoid leading prompts that describe your business as the preferred answer. Save the wording so later checks can be compared fairly.

Record what happened, including uncertainty

Capture the platform, date, question, location context, answer and visible links. Record a business mention separately from a citation to its website. Read the cited page to check whether it supports the claim; a source link beside an answer is not proof that every statement is correct.

Repeat a manageable sample under documented conditions. An answer may change between runs. Report the sample as a sample, with its limits, rather than converting a handful of observations into a claim about total market share. If the platform does not show a source, mark the origin of the claim as unknown.

For example, an illustrative inspection firm may be mentioned for a service it does not offer. That is an accuracy issue even if the mention looks like increased visibility. Record the erroneous statement, compare the firm's public pages and inspect any cited directory before deciding which information to correct.

Turn observations into tasks with evidence

Classify each finding: incorrect business information, missing explanation, weak supporting evidence, technical access problem or an unexplained variation. Identify the source you can change and the action needed. An owned page can be corrected directly; a third-party listing may require an update request. Neither guarantees a future answer will change.

Prioritize errors that can mislead customers before chasing additional mentions. Give each task an owner, a defined output and a verification step. Recheck the public source after publication, then repeat the relevant assessment questions later. Keep source corrections, observed answer changes and business enquiries as separate outcomes so the report remains honest about what was demonstrated.