Google Review Reply Manager for Agencies — SoloCMO
Local SEO 05 · reputation

Nobody can tell the owner didn't write it.

Paste in ten replies the owner actually wrote and every draft after that sounds like them. The good ones post on their own; anything below your threshold waits for a person, every time.

The problem

Replying to reviews is obligatory, endless, and the first thing to slip.

Google counts replies. Customers read them — often more carefully than they read the reviews. And the work never finishes, because every happy customer creates another one to answer.

So agencies reach for AI, and immediately hit the second problem: a generic reply is worse than silence. "Thank you for your feedback, we value all our customers" under a detailed complaint tells everyone reading that nobody actually read it. On a one-star review, that's a screenshot waiting to happen.

The voice

Ten real replies, and it stops sounding like software.

Not a tone dropdown. Actual replies this owner wrote in their own words — the trainer says so explicitly, because pasting AI-written examples teaches it to imitate an imitation.

It reads how long their sentences run, how formal they are, whether they name the stylist or the technician, how they sign off. Every draft after that mirrors it.

1

"Thank you so much for the kind words! We're thrilled the team exceeded your expectations…"

2

"Hi, we're sorry to hear things didn't go as expected. Please reach out so we can make it right…"

3

Paste another reply the owner actually wrote…

Up to ten examples. More examples, closer match — three is usually enough to stop it sounding generic.

Analyze style
The safety design

The reviews that could hurt you never post themselves.

You set the line. Anything at or above it drafts and posts on a schedule without you. Anything below drafts and stops — flagged, queued, waiting for someone to read it before a word goes public.

Which is the correct way round. A five-star review saying "great haircut" does not need your judgment. A two-star review absolutely does.

★★★★★ Drafted in the owner's voice and posted on schedule Auto-posts
★★★★ Drafted and posted — still editable before it goes Auto-posts
Your threshold
★★★ Drafted, then held in the approval queue Needs approval
★★ Drafted, then held in the approval queue Needs approval
Drafted, then held in the approval queue Needs approval

Four stars and up is the default. Move the line wherever you like — but reviews below it are never auto-posted, whatever you set.

What the drafts read like

It answers what the review said.

The test for a review reply is whether a stranger reading it can tell somebody engaged with the complaint. Naming the specific thing that went wrong is what does that, and it's what generic AI replies never manage.

The review

★★☆☆☆

"I've been a loyal customer for quite some time, which is why this experience was especially disappointing. It's true what they say: one bad experience can overshadow many great ones…"

Held for approval

The draft

"Thank you for your loyalty and for taking the time to share this — you deserve better than what happened that day. You're right that letting you sit for thirty minutes without any…"

Editable · redraftable

A real drafted reply, trimmed. It opens by acknowledging the specific failure, not by thanking them for the feedback.

At roster scale

A thousand reviews is a number, not a problem.

The sync pulls the client's whole history, not just what arrived this week. On a listing with hundreds of unanswered reviews, working that backlog is usually the fastest reply-rate improvement available — and reply rate is a number you can put in a report.

1,000Reviews synced
4.8Average rating
97%Reply rate
29Awaiting a reply

One real client listing. The 29 is the whole to-do list, and most of it can clear itself.

Filters

Straight to what needs you

Needs reply, needs approval, replied, or any star rating. The two-star queue is one click, which is where a human should start.

Redraft

A different take, instantly

If a draft misses, regenerate it rather than rewriting it. Edit any reply before it posts, including the ones cleared to go automatically.

Signature

Signed the way they sign

An optional sign-off applied to every reply, so the whole profile reads consistently rather than like four different people answered.

Every module is on every plan. Plans differ only in how many clients you run.

Shared context

Reviews are more than a ranking signal.

They're the only place a client's customers describe the business in their own words — which makes the review corpus the best copy source you have, and one of the six inputs the rank diagnosis reads.

Questions

Reviews, answered straight.

How does it learn the owner's voice?
You paste in up to ten replies the owner actually wrote — not AI-generated ones — and it analyzes how they write. Sentence length, how formal they are, whether they name staff, how they sign off. Every draft after that mirrors it.
Will it auto-post a reply to a one-star review?
No. You set a rating threshold and anything at or above it can post on its own. Anything below never does — it's drafted and held for approval, every time. The default is four stars and up, and the low ratings are exactly where a person needs to read it first.
Are the replies generic?
They reference what the review actually said. A complaint about waiting thirty minutes gets a reply about waiting thirty minutes, not a paragraph about how much feedback means to us. That specificity is the difference between a reply that helps and one that makes things worse.
Can I edit before anything goes out?
Always. Every draft can be edited or redrafted from scratch before posting, including the ones cleared to auto-post — automation is a setting you choose, not a state you're stuck in.
Does it handle old reviews too?
The sync pulls the client's full review history, not just recent ones. On a listing with hundreds of unanswered reviews, that backlog is usually the fastest reply-rate improvement available.
Get started

Every plan includes every module.

There are no feature gates. Plans differ only in how many clients you run and how much you generate for them.