According to the documentation and the interface, Google Maps can offer clients additional questions in addition to the overall rating. The presence of these questions may vary. It’s important not to present all the observed fields as a universally available new feature, nor as a ranking tool with known weights.
Check the actual experience being offered.
Review the publicly available information about your restaurant and any visible user feedback. Differentiate between the information you provide as an establishment and the information added by users. The available attributes and their presentation may vary depending on the context.
When evaluating based on aspects like food, service, or atmosphere, use these as points to investigate further. A single rating is not enough to identify a recurring problem. Read the associated comments and consider the number of reviews.
Transforming observations into action.
Group the feedback by topic and by period. If multiple clients report long wait times, investigate the service’s organization. If the practical information provided is inconsistent, review the menu, operating hours, and displayed attributes.
Example: Visitors have mentioned a parking difficulty. Please check the actual possibilities and then specify the access on your website. Do not state that you have a private parking area if you only have public spaces nearby.
Keep an accurate record.
Update the information you control when an offer or equipment changes. Do not simply check an attribute because it appears appealing. Reliable information helps the client make a decision and reduces the gap between the promise and the actual experience.
Do not dictate the answers.
The supplementary fields belong to the client’s contribution journey. Allow them to choose what they want to fill in. Do not ask for specific answers or particular keywords in an attempt to influence Google. The invitation to share an experience should remain open and without any expectation of a return.
Focus on tracking improvements to the service and customer feedback, rather than promising increased rankings based on a specific attribute or review format. The details of the algorithm are not public. Providing more comprehensive information could be helpful to the reader without automatically increasing bookings.
Sources and documentation
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