Learn to spot the difference between an accurate mention and a misleading one.

Define what the business can actually promise

Create an approved fact sheet with your trading name, contact details, service territory, equipment scope and availability model. Separate office hours, telephone intake and technician dispatch. If same-day work depends on location, parts or capacity, record the conditions rather than letting the phrase become an unconditional statement. Include the person who can approve each type of change.

Review service definitions with the office and technicians. Does the company perform residential repairs, new installations, commercial overhead-door work or gate service? Which brands are serviced, and which formal dealer relationships exist? Keep unsupported adjacent services out of generic descriptions. Record when each fact was last checked so the next marketing update starts from current operations rather than an old brochure. This reference is the standard against which an AI description can be assessed.

Work through a misleading emergency-service claim

Consider this illustrative claim record, rather than a report about a real company. Observed claim: an AI answer describes the company as providing 24-hour emergency repairs. Approved operating fact: messages are accepted overnight, while technician dispatch is confirmed during operating hours. Those statements describe different services. The review should identify the unsupported dispatch promise rather than marking the whole answer correct because it names the right business.

Source checked: the current repair page says appointments are confirmed by the office, but an older directory description still says 24-hour repairs. Correction owner: the office manager confirms the operating fact; the website editor updates any conflicting banner or confirmation; the directory account owner requests the listing correction. The visible directory is evidence of an inaccurate public claim, not proof that it caused every sentence in the AI answer.

Public verification: inspect the corrected pages and test the enquiry confirmation. Record the date and the wording now visible. Unresolved observation: a later AI check still describes round-the-clock repairs despite the corrected sources. Keep that observation open and use platform feedback where available. Do not record it as fixed simply because the source changes were completed. This separates an approved fact, a reviewable correction and an external answer you do not control.

Correct the whole contact journey and verify the public result

Prioritize wrong phone details, unsupported dispatch promises and service-area mistakes because they can directly misroute a customer. Update the source pages you control and request corrections from relevant third-party publishers. Review navigation labels, form service options, confirmation messages and phone greetings so the corrected description is not contradicted a step later. A website saying standard hours while its confirmation promises immediate emergency help is still inconsistent.

Keep a log with the original wording, approved replacement, location of the edit, owner and public verification date. Mark a source correction complete only after checking that it appears publicly. Revisit the AI question later as a separate check, since answers may continue to vary or use other information. Trigger a fresh review when hours, coverage, brands or operating arrangements change. This turns accuracy into a maintainable business process rather than an occasional reaction to a flattering or alarming screenshot.