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Review Response Management
All About Review Response Management
Customer reviews do not end when the review is published. How your business responds is also visible to the customer who left the review — and to future customers reading it later.
Review Response Management helps your business manage, prepare and publish review responses in a more consistent and organised way across supported review platforms.
Depending on how your service is configured, responses can be AI-suggested for you to review and approve, or automatically generated and published using predefined rules such as review rating, timing and response style.
You can also control elements such as tone, personality, language behaviour and response timing, helping responses feel more aligned with your business rather than relying on repetitive copy-and-paste replies.
The result is a more structured way to stay engaged with customer feedback while reducing the time involved in manually drafting every response.
Explore the sections below to see how Review Response Management works, the level of control available, and how it can fit into your business.
1.1 What Is Review Response Management?
Review Response Management helps your business manage customer review responses from one organised system, with the option to use AI to assist with or automate the response process.
When supported review platforms are connected, incoming reviews can be managed within your reputation area rather than requiring your team to work separately across different platforms.
The service can then help with the next step — responding.
You can choose between AI-suggested responses, where a response is prepared for your team to review before publishing, or Auto-Pilot responses, where responses can be generated and published automatically according to your configured settings.
The aim is to give your business a more structured way to manage review responses while still allowing you to choose how much control or automation you want.
1.2 Why Responding to Reviews Matters
Once a customer review appears, it becomes part of the review activity your business manages through the reputation system.
Review Response Management gives you a defined process for handling that feedback instead of leaving reviews unanswered simply because nobody noticed them or had time to prepare a response.
The system is specifically designed to streamline review-response management by providing AI-generated suggestions or automated responses. It also allows response behaviour to be customised so that replies can better reflect your business rather than relying on the same manually copied response each time.
This means responding to reviews can become an organised business process rather than another task someone has to remember to complete.
1.3 The Challenge of Managing Responses Manually
Without a structured system, responding to reviews can require someone in your business to monitor incoming feedback, read each review, decide what to say, write the response and then publish it.
As review activity increases, that process can become repetitive and time-consuming.
There is also the challenge of consistency. Different team members may respond differently, responses may be delayed, and some reviews may receive attention while others are overlooked.
Review Response Management addresses this by giving your business a central review environment together with AI-supported response tools that can either prepare responses for approval or manage eligible responses automatically.
You can therefore reduce the amount of manual drafting involved without having to give up control over how responses are handled.
1.4 How Review Response Management Helps
Review Response Management allows you to decide how your business should handle incoming customer reviews.
In Suggestive Mode, AI prepares review-response suggestions for your team. You can review the proposed response, make changes if required and decide what should be published.
In Auto-Pilot Mode, responses can be generated and published automatically based on the configuration established for your business.
The response behaviour can also be customised around your preferred tone, personality and style, while Reviews AI Agents provide further controls for creating different response personalities and assigning them according to your requirements.
This gives you flexibility to create a response process that may be highly supervised, highly automated, or somewhere between the two.
1.5 Key Benefits for Your Business
Review Response Management brings the review-response process into one structured environment and reduces the need to manually compose every reply from the beginning.
AI-generated suggestions can significantly reduce drafting work while still allowing a person to review the response before it is published. Auto-Pilot can take the process further by responding automatically where you are comfortable using automation.
The ability to configure tone, personality and response behaviour also helps your business maintain a more consistent approach across different reviews. Reviews AI Agents are specifically designed to generate responses according to configured tone, sentiment and style preferences.
For your business, that can mean less repetitive response administration, greater consistency, clearer oversight and the flexibility to decide where human approval is still required.
1.6 Who Review Response Management Is Best For?
Review Response Management is particularly useful for businesses that receive customer reviews regularly but do not want the response process to depend entirely on someone manually monitoring and drafting replies.
It can also suit businesses that want AI assistance but are not ready to automate every response, because Suggestive Mode allows your team to remain involved before anything is published.
Businesses wanting greater automation can instead configure Auto-Pilot behaviour, while businesses that need more control over how responses sound can use configurable tone, personality, style and Reviews AI Agents.
In short, if your business wants a more organised, configurable and scalable way to manage customer review responses, Review Response Management provides the tools to build that process around the level of control your business is comfortable with.
2.1 Choose the Level of Automation
Review Response Management gives your business flexibility over how review responses are handled.
You can choose between a more supervised approach, where AI prepares a response for someone in your business to review, or a more automated approach, where eligible responses can be generated and published automatically according to your configuration.
This means you do not have to choose between completely manual review management and complete automation. You can decide how much human involvement is appropriate for your business and adjust that approach over time.
2.2 AI-Suggested Responses
In Suggestive Mode, AI prepares a proposed response based on the customer review.
Your team can then review that suggestion before anything is published. The response can be edited, personalised or rewritten if required.
This approach is useful when you want the time-saving benefit of AI-generated drafts while keeping a human approval step in the process.
Instead of writing every response from the beginning, your team starts with a prepared suggestion and remains in control of the final wording.
2.3 Automatic Review Responses
For businesses that want greater automation, Auto-Pilot Mode can generate and publish review responses automatically.
Once configured, the system can handle eligible incoming reviews without requiring someone to manually draft and publish each response.
This can reduce repetitive review-response work, particularly where a business receives reviews regularly.
Automation remains configurable rather than being a simple all-or-nothing switch. Your business can determine the conditions under which automated responses should be used.
2.4 Choose Which Reviews Receive Automated Responses
Review Response Management can be configured so that automated responses are handled differently depending on the review rating.
This allows your business to apply different response rules to different types of customer feedback rather than treating every review in exactly the same way.
For example, you may be comfortable automatically responding to selected higher-rated reviews while keeping lower-rated or more sensitive reviews within a more supervised process.
The important point is that response automation can be controlled according to predefined review-rating settings.
2.5 Control When Responses Are Published
Automated review responses do not have to appear immediately after a customer leaves a review.
A configurable wait time can be applied before the response is published.
This gives your business greater control over response timing and allows the automated process to operate according to settings that better suit how you want customer reviews to be handled.
2.6 Human Control vs Automation
The two response modes allow businesses to use different levels of automation depending on the situation.
Suggestive Mode keeps a person involved before the response is published, while Auto-Pilot Mode can remove that manual step for reviews covered by your automation settings.
A business can therefore use a more cautious approach where greater oversight is preferred and a more automated approach where the response process is routine and predictable.
This flexibility is one of the key strengths of Review Response Management: you decide where AI assists your team and where it is allowed to act automatically.
3.1 Create Your Review Response Style
Review Response Management allows the AI response behaviour to be configured around the way you want your business to communicate.
Rather than relying on one generic response style, you can define preferences such as tone, personality and writing style so generated responses are more aligned with your business.
This means your review responses can be configured to feel more professional, friendly, concise or conversational depending on the approach you want to maintain.
3.2 Use Review AI Agents
Review AI Agents allow multiple response personalities to be created and managed.
Each agent can have its own response behaviour, making it possible to use different personalities where your business has different requirements, locations or response styles.
The purpose is to give your business greater control over how automated or AI-assisted responses are generated rather than applying exactly the same response behaviour everywhere.
3.3 Respond According to Review Sentiment
Review AI Agents can be configured to consider the sentiment of the customer review when generating a response.
This allows the response style to adapt to the nature of the feedback instead of treating a positive review and a negative review identically.
For example, a positive review may receive a warmer acknowledgement, while more critical feedback can be handled with a response style better suited to that type of review.
The exact response remains generated according to the settings established for the Review AI Agent.
3.4 Keep Responses Consistent With Your Brand
Once the desired response personality and behaviour have been configured, Review Response Management can use those preferences repeatedly across customer reviews.
This helps reduce the variation that can occur when different team members independently write responses and makes it easier to maintain a more consistent public-facing communication style.
You still retain control over the configuration, and the response approach can be adjusted as your business requirements change.
3.5 Support Different Review Languages
Review AI Agents include language-related configuration and can work with the language of customer reviews, helping businesses manage feedback from customers who may not all communicate in the same language.
This gives your business more flexibility when responding to reviews across a multilingual customer base, rather than forcing every AI-generated response into one fixed language behaviour.
Language settings can form part of how the Review AI Agent is configured for your business.
3.6 Preview and Test Before Using the Response Agent
Review AI Agents can be previewed and tested during configuration so you can see how the agent is likely to respond before relying on it for live customer reviews.
This gives you an opportunity to refine the agent’s personality, tone and response behaviour before it becomes part of your ongoing review-response process.
It also means the setup does not have to be treated as permanent. Response behaviour can be reviewed and adjusted as you learn what style works best for your business.
4.1 Bring Supported Reviews Into One Central Area
Review Response Management gives your business a central place to view and manage reviews from supported connected platforms.
Instead of treating each review source as a completely separate task, incoming review activity can be brought into the Reputation area where your team can monitor reviews and manage responses more efficiently.
This is particularly useful as review volume grows, because your business has one organised working area for handling customer feedback rather than relying on separate platform-by-platform processes.
4.2 Manage Google Review Responses
When your Google Business Profile is connected, Google reviews can be managed through the review-management environment.
Your business can use AI-assisted or automated response functionality for supported Google reviews, depending on how Review Response Management has been configured.
This allows your Google review-response process to become part of the same structured system used for monitoring and managing customer feedback, rather than requiring every response to be drafted independently from the Google profile itself.
4.3 Manage Facebook Review Responses
Review Response Management also supports review-response functionality for connected Facebook reviews.
The Reviews AI system supports both Google and Facebook review management, allowing AI-generated responses to assist with or automate responses across these supported sources.
For businesses receiving reviews through both platforms, this helps keep the response process more consistent and reduces the need to manage each source independently.
4.4 Find and Organise the Reviews That Need Attention
As the number of customer reviews increases, being able to identify the right reviews becomes increasingly important.
The Reviews area provides tools for working through customer feedback, while review-related workflows can also distinguish reviews using criteria such as review source, star rating and spam status.
This gives your business greater control over how different types of reviews are handled and allows review-management processes to be built around the characteristics of the feedback received.
4.5 Prevent Automated Responses to Spam Reviews
Review Response Management can use the platform’s spam detection functionality to help prevent AI from responding to reviews identified as spam.
Reviews can be automatically detected as spam, and users can also manually mark or unmark reviews when required.
This is particularly important when automation is enabled because it helps prevent the response system from treating every incoming review as genuine customer feedback.
Your business therefore retains the ability to review and correct spam classification where necessary.
4.6 Handle Google Reviews That May Need to Be Disputed
Not every problematic Google review should necessarily receive a normal customer response.
For eligible Google reviews, the system provides access to a review dispute process, allowing a review to be reported and the dispute status to be checked.
This does not guarantee that Google will remove a review. Google ultimately determines whether a review violates its policies and whether removal is appropriate.
It does, however, give your business a defined process for handling reviews that may require escalation rather than simply responding to them as normal customer feedback.
5.1 Respond Differently Based on Star Rating
Review Response Management can apply different automated response behaviour according to the star rating of the review.
This means your business does not need to treat every review in exactly the same way. Auto-Pilot settings can be configured so that responses vary depending on whether the customer leaves a higher or lower rating.
This gives you more control over which reviews are suitable for automated handling and where a more cautious approach may be preferred.
5.2 Set a Response Delay
Automated responses do not have to be published immediately.
Review Response Management allows a wait time to be configured before an automated response is sent, giving your business control over the timing of the response.
This is useful where you want automated review responses to follow a more deliberate timing pattern rather than appearing instantly after every review.
5.3 Add a Consistent Response Footer
Auto-Pilot responses can include a configured review response footer.
This can be used to add a consistent closing element to automated responses, such as a thank-you message or your business name.
It provides another way to make the response format more consistent across reviews without requiring your team to manually add the same closing each time.
5.4 Control Which Review Sources Use Automation
Automated review responses can be configured for specific supported review sources rather than automatically applying the same behaviour everywhere.
The Reviews AI settings support source-specific automation for platforms such as Google and Facebook.
This allows your business to decide where Auto-Pilot should be active and where a different response approach may be more appropriate.
5.5 Combine Response Rules With Your AI Agent
The automation settings work alongside the Review AI Agent configuration discussed earlier.
Your business can therefore combine the operational rules — such as star rating, response timing and review source — with the personality, tone and response behaviour configured for your Review AI Agent.
This creates a more controlled response process than simply switching automation on for every review.
For example, the system can determine which reviews are eligible for automatic handling, while the configured AI Agent determines how the response itself should be written.
5.6 Keep Control Over How Much Is Automated
Review Response Management is designed to give your business a choice between AI assistance and automated publishing.
You can use Suggestive Mode where you want someone to review the generated response before it goes live, while Auto-Pilot can be used for review categories where you are comfortable allowing the configured system to respond automatically.
The result is a flexible model where your business can automate selected parts of review-response management without having to automate every review in the same way.
6.1 A Real-World Review Response Example
Imagine a customer leaves a new review on one of your supported connected review platforms.
The review enters your central review-management area and can then follow the response process you have configured for your business.
If Suggestive Mode is being used, AI prepares a response based on the customer’s review. Your team can review that response, edit it if necessary and decide when it should be published.
If Auto-Pilot Mode applies to that review, the system can generate and publish the response automatically according to your configured settings, including factors such as review source, star rating, response behaviour and timing.
The overall journey can therefore be:
Customer leaves a review → Review enters your review-management area → Configured response rules apply → AI prepares the response → Human approval or automatic publishing → Response appears on the supported review platform.
6.2 Responding to Positive Reviews
Positive reviews can be handled using the same AI-assisted or automated response process.
Rather than repeatedly using one standard thank-you response, your configured Review AI Agent can generate a response according to its defined tone, personality, sentiment and style preferences.
If your business is comfortable automating selected positive reviews, Auto-Pilot can be configured around the relevant star-rating rules. Alternatively, Suggestive Mode can keep a person involved before the response is published.
This lets your business decide whether positive feedback should be handled automatically, reviewed first, or managed using a combination of both approaches.
6.3 Responding to Negative or Sensitive Reviews
Lower-rated or sensitive reviews do not have to be handled in exactly the same way as positive reviews.
Because automated response behaviour can be configured according to star rating, your business can choose a more controlled process for particular ratings.
For example, you may choose to automate responses to selected higher-rated reviews while keeping lower-rated reviews in Suggestive Mode so someone can review the proposed response before it is published.
The Review AI Agent can also take review sentiment into account when generating its response, helping the response style adapt to the nature of the customer feedback.
Where a Google review appears to violate Google’s policies rather than simply representing negative feedback, the separate review-dispute process can be used where applicable instead of treating it as an ordinary review-response situation.
6.4 Suggested Response or Auto-Pilot — Which Should You Use?
There is no requirement to manage every review using the same level of automation.
Suggestive Mode is suited to situations where you want AI to reduce the drafting work but still want someone in your business to review the response before publication.
Auto-Pilot Mode is designed for situations where you are comfortable allowing configured review responses to be generated and published automatically.
A combination of both can also be used.
For example, your business may be comfortable automating selected reviews while retaining greater oversight for reviews requiring additional attention.
Review Response Management can therefore be configured around your preferred balance between automation and human control.
6.5 What Review Response Management Does
Review Response Management can bring together a range of supported review-response capabilities.
Depending on your configuration, it can:
- bring supported review activity into one management area;
- support review responses for connected Google and Facebook reviews;
- generate AI-suggested review responses;
- automatically generate and publish eligible responses through Auto-Pilot;
- apply response behaviour according to review star ratings;
- apply a configurable delay before automated responses are published;
- use configurable AI personalities, tone, sentiment and style;
- support language-related response behaviour;
- use different Review AI Agents where required;
- include configured response footers;
- detect reviews identified as spam so automated responses can be avoided; and
- provide a process for disputing eligible Google reviews.
These capabilities allow the response process to be configured around the level of automation and control your business wants.
6.6 What Review Response Management Does Not Do
Review Response Management helps your business manage responses to customer reviews. It does not change the review that the customer originally submitted.
It also does not guarantee that a negative Google review can be removed. Where a review is disputed, the review platform ultimately determines whether that review breaches its policies and whether removal is appropriate.
AI-generated responses should also not be understood as removing your control over the process. Suggestive Mode exists specifically to allow a person to review the proposed response before publication, while Auto-Pilot is available where your business deliberately chooses greater automation.
Most importantly, Review Response Management is not the service used to request new customer reviews. That is handled separately through Review Booster.
1. Can I approve an AI-generated response before it is published?
Yes. Suggestive Mode generates a response for review before publication, allowing your team to edit or approve it.
2. Can responses be completely automated?
Yes. Auto-Pilot Mode can automatically generate and publish eligible responses according to the settings configured for your business.
3. Can different star ratings be handled differently?
Yes. Auto-Pilot behaviour can be configured according to review rating, allowing different levels of automation for different reviews.
4. Can we choose how the responses sound?
Yes. Review AI Agents support configurable personality, tone, sentiment and style preferences.
5. Can we test the response style before using it?
Yes. Review AI Agents can be previewed and tested during configuration so their behaviour can be refined before being relied upon.
6. Can responses be delayed instead of publishing immediately?
Yes. A configurable wait period can be applied to automated responses.
7. Can it manage Google reviews?
Yes. Review-response functionality supports connected Google reviews.
8. Can it manage Facebook reviews?
Yes. Facebook review responses are also supported within the Reviews AI functionality.
9. Can different languages be handled?
Review AI Agents include language-related configuration and can use language behaviour appropriate to the review and configured agent settings.
10. Can spam reviews be excluded from automated responses?
The review-management system includes spam detection so reviews identified as spam can be prevented from being treated like ordinary customer feedback.
11. Does it remove negative reviews automatically?
No. Review responses and review removal are different processes. Eligible Google reviews can be disputed, but Google determines whether a disputed review is removed.
12.Do I need Review Booster as well?
No. They are separate services. Review Booster handles review collection and related reputation functions, while Review Response Management handles responses to reviews already received. You can use either individually or combine them.
Review Booster vs Review Response Management
The two services work at different stages of the review journey.
Review Booster focuses primarily on helping your business request, collect, monitor and showcase customer reviews.
Review Response Management focuses on what happens after a supported customer review has been received — helping your business prepare, manage and, where configured, automate the response.
They can therefore work together:
Review Booster helps generate the opportunity for customer feedback → Customer leaves a review → Review Response Management helps manage the response.
You can use either service independently or use them together as part of a broader review-management process.
