The generic settings in the review responses are set to say "we". For example:

Thank you for your wonderful review, Carol! We're thrilled to hear that you and your husband had a great experience working with Mr. Stokes. Your recommendation means a lot to us, and we look forward to assisting you or anyone you refer in the future!

Can we get an option to change "We" and do "I".

As of now the responses are overenthusiastic and a word salad of different ways to say thank you. It'd help a lot if we could prompt this ourselves as with conversation AI, since the feature is almost unusable with the length of replies it is publishing.

Note: I've seen a few posts with the same topic, if all could be consolidated that would help in the process of getting the idea through

The ability to customize ai review response so we can make it sounds more like a human

When leaving reviews as an entity that maintains HIPAA compliance, you have to be very generic in the way you respond. We would like the ability to adjust the prompt for reviews AI to me these requirements.

This thread is going to detail several improvements that could really help take reputation management a long way especially with the new AI features, saving businesses a lot of time and money.

1) Reviews AI trainer (New Feature)

Currently the AI reviews work okay. They get the job done but often sound very repetitive and leaves replies that are far longer than necessary. When clients read 5-6 reviews, they can tell they all sound very very similar.

This doesn't mean we should get rid of what we have, but perhaps add this training window to help customize how the AI answers the reviews. This will reduce the burden for having to add a multitude of new features in the future since clients would be able to train AI.

1a) character limiter (enhancement)

as described in 1. the AI often replies with very long responses. the training window described in 1. would solve this, but a character limiter would temporarily allow clients to control the length.

2) Bad Reviews Management (New Feature)

Just like there is a way for AI to filter which reviews it answers above a threshold, we should also be able to decide what happens to reviews below that threshold.

Currently we use zapier and webhooks to answer review and notify managers via workflow when a review below 3 stars comes in. At some point, it would be nice to be able to have that fully integrated within GHL also allowing us to profit from rebilling.

These are 2 great additions that I think would already take us a long way. Let me know below what you think of these and what else you would recommend.