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Brand response audit

See how your hotel has responded publicly so far

AI assesses response time, response coverage, factual accuracy, tone, consistency and how effectively difficult issues are brought to a close. Every finding links to a specific example.

Example in action

Assessment leads to specific responses, not a general score

The audit highlights effective and problematic responses so the team can improve its guidelines based on its own history.

Response history

Reviews, comments and hotel responses

The collection includes guest comments, hotel responses, response times, sources and the subsequent handling of more complex cases.

response timeresponse contentoriginal comment
AI audit

Examples and rules to improve

AI identifies a lack of reference to specific points, inconsistent promises, repetitive formulas and examples of responses that bring the matter to a proper close.

  • coverage and response time
  • good and problematic examples
  • rules requiring clarification
Module scope

A shared standard for assessing all public responses

The audit covers responses prepared by employees and previous tools. It assesses each response against the original comment, the hotel’s knowledge and the agreed standard.

Measures handling

It checks which comments received a response and how long they waited for one.

Assesses quality

It analyses factual accuracy, tone, specificity and how challenging cases are handled.

Shows examples

Each finding is linked to a specific comment and hotel response.

Process

How does the response audit work?

1

Pairing responses

The system links reviews and comments to the relevant brand responses.

2

Assessing criteria

AI checks timing, coverage, facts, tone, repetition and the next step.

3

Selecting examples

The report highlights exemplary, unclear and problematic responses, with reasons.

4

Change list

Findings are fed into the calibration and review of subsequent responses.

Data and outcome

The response is assessed together with the original comment

Additional hotel knowledge can help confirm whether the information used was correct. Without a source, the audit marks a fact as impossible to verify.

Input

What does AI use?

  • reviews and public comments
  • hotel responses with dates
  • statuses and history of complex cases
  • optional sources of property knowledge
Output

What does the team receive?

  • coverage and response time
  • examples of good and problematic responses
  • rules requiring clarification
Control

The audit assesses the response, not the employee

The aim is to improve the brand’s shared rules and processes. The report should take into account the context available at the time.

The decision remains with the team

The team selects the sample and audit criteria, reviews the examples and decides which findings will change the response standard.

Where does this module end?

The module does not publish or automatically amend historical responses, and does not draw conclusions about an individual’s work without context.

Outcome

A clear basis for improving responses

Visible coverage

The hotel knows which types of comments most often received no response.

Verifiable examples

Every assessment leads back to the material it was based on.

Better rules

Recurring issues can be turned into calibration and review requirements.

Data and integrations

The reputation panel provides a history of public conversations

Additional documents and hotel knowledge can help verify the facts used in responses.

Central Reputation PanelAI platformResponse historyOptional knowledge sources
Content hub

Related process elements

FAQ

Frequently asked questions

Does the audit cover employee and AI responses?

Yes. The same standard can be applied to all public brand responses.

Does it show specific errors?

Yes. It identifies the passage, criterion, original comment and suggested direction for improvement.

Does it measure response time?

Yes, if the panel has the publication dates of the comment and response.

Does it change communication rules itself?

No. Findings are passed to the team and the Response Calibration module.

Check the quality of the hotel’s existing responses

We will analyse the brand’s public conversations and prepare examples and rules requiring improvement.

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