Google Review Automation Software that runs the whole loop

Everything you need for Google reviews. And nothing you don't.

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They love how easy we've made it

Replies handled for you, with nothing to do after setup

The default agent reads the replies you have already published and continues that voice. There is no prompt to write before it is useful, and no template library to maintain.

Give each agent its own prompt, context and memory: tone of voice, signature, contact details, opening hours. Run a different one per brand, location, language or rating. Learn more.

Rules decide what publishes on its own and what waits for a person. Rating, platform, keyword, review length. Most teams put 5-star reviews on automatic and hold anything under 3 stars for approval.

5-star agent read 1,240 of your replies
Replies you wrote

Thanks so much, we're thrilled it helped!”Mar

“Really appreciate it. Come say hi next time you're in.”Feb

Priya D. new · 2 min ago

“Booked online, in and out in ten minutes. Whole thing just worked.”

Draft, in your words

Thanks so much, ten minutes is what we aim for. Come say hi next time you're in.”

The Northwind Team

Published to Google on its own, 41 seconds later

Unlimited agents: recovery, French, VIP, one per location.

Your CRM already knows when to ask. Let it do the asking.

Over 600 integrations, from CRMs and booking systems to field service tools, POS and helpdesks. The request fires on the event that means the job is done: invoice paid, stay checked out, ticket closed. See the integrations.

Nobody has to remember to ask, and nobody has to be trained to. The request goes out minutes after the work is done, which is when people still care enough to write one.

Nothing to build if your stack is unusual. Magic Links are URLs you paste into whatever already emails your customers, with tracking, conditional redirects and QR codes attached. Learn more.

Your CRM trigger fired

Booking marked complete

Harbour Tours · guide Maya · customer Sarah M.

HubSpot, Jobber, Cliniko, Shopify, Salesforce and 600 more.

Reviewflowz 4 min later

“Thanks for coming out with us today, Sarah. Mind sharing how it went?”

rvz.link/harbour-tours
Google 2 days later
Sarah M.

“Maya made the whole trip. Booked in the morning, out on the water by two.”

attributed to Maya from the booking, not the words

Alerts across the whole review lifecycle, not just new reviews

Six events, not one: a review arrives, its rating changes, its text is edited, Google removes it, a reply publishes, a tag matches. Most tools tell you about the first and nothing else.

Conditions go past rating. Fire on tags, keywords, location, language or review length, so “refund” at one branch reaches a different channel from a 5-star review at another.

Route to Slack, Microsoft Teams, email, Zendesk, Zapier or a webhook, live or as a digest, and reply from inside the helpdesk your team already lives in. Learn more.

When Google silently removes a review, you are told, and you keep its text, rating and dates. That record is what you need when a rating drops overnight and nobody can say why.

Alert rule Watching
When any of these happen
New reviewRating changedReview editedRemoved by GoogleReply publishedTag matched
And it matches
rating ≤ 2 tag billing keyword “refund” location Shoreditch
Send it here
Slack Teams Email Zendesk Zapier Webhook
#urgent Rating changed 5★ → 2★ 3s

“Went back after the refit. Not the same place.”

Ops Removed by Google rev_8290 2h

Gone from your profile with no notice. Text, rating and dates kept.

#wins New review ★★★★★ 5h

Tagged “onboarding”. Reply already published by the 5-star agent.

Know who earned the review without asking anyone to name them

Attribution works two ways, and you get both. The job, the appointment and the rep who closed it are already in your CRM, so a review can attach to the right person without the customer naming anyone at all.

And when a reviewer does name someone, the AI is very good at finding it: nicknames, first names only, misspellings, the shortenings that would never match a staff list. You confirm the handful it is unsure about. Learn more.

The leaderboard ranks people, teams, locations or products, and it is a real scoreboard rather than a CSV. Teams that put it on a screen collect more reviews, which is the entire trick.

Who is getting reviews All time
Individual Team
MC Maya Collins Harbour tours +576 reviews
JW Jonas Weber City centre +383 reviews
PN Priya Nair Airport branch +311 reviews
TA Tom Aldridge Harbour tours +308 reviews
Show 12 more

Not just what happened. Where you are heading.

Forecast the rating instead of reporting it. Pick the score you want and the date you want it by, and see the review volume that actually gets you there.

Google rounds to one decimal, so the number on your listing hides a band roughly a tenth of a star wide. Projections work off your true average rather than the rounded one, which is why they disagree with the free calculators. Try it on your own listing.

Build the reports underneath it with your own filters and metrics, save them, and email them to whoever needs them on a schedule. Learn more.

Review score projection
4.583 Your real score
4.7 Target score
142 Reviews / mo
90 Days ahead
Google review projection

Ask your Google reviews anything

Language-agnostic models pull the most mentioned topics out of your reviews with no tagging to maintain.

Every topic opens onto the review extracts behind it, with sentiment scores, so a theme is always one click from its evidence.

Connect Claude, ChatGPT or Gemini through our MCP integration and ask your whole review history questions in plain language. Learn more.

Most mentioned topics All languages
Guides 1,032 mentions · 91% positive
Booking experience 341 mentions · 78% positive
Wait times 214 mentions · 38% positive
Pricing 188 mentions · 55% positive
Wait times · extract

"…40 minutes in line at the counter is too long when you have kids…"

Put the good ones back in front of people

Widgets update themselves as new reviews land, so the social proof on your site is never last quarter.

Style them with real CSS instead of fighting a WYSIWYG, and embed on any site in minutes. Learn more.

JM
Jordan Mills
Product Lead
EN

“Fast, friendly, and the whole thing just worked. Exactly what we needed.”

CR
Camille Rousseau
Fondatrice
FR

“Un service impeccable du début à la fin. Je recommande vivement.”

DM
Diego Marín
CTO
ES

“El mejor soporte que hemos tenido. Todo fue muy fácil.”

LK
Lena Koch
Head of CX
DE

“Schnell, unkompliziert und einfach super.”

What your Google Business Profile will not do for you

Google gives you a box to type a reply into. Everything else is either on you, or on Reviewflowz.

Reviewflowz Business Profile
Read and reply to your Google reviews
Every location in one list Per profile
Replies drafted from the replies you have already written
Publish replies automatically by rule
Review requests fired from your CRM
Attribution to a person, team or location
Alerts on tags and keywords, not just new reviews
The full lifecycle of a review, not just the day it arrived
Record kept when Google removes a review
Rating forecasting, not just history
Export to CSV or Excel

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Google review automation, answered

What can you actually automate with Google reviews?

Four things, and they chain together. Asking: requests fire from your CRM or booking system on the event that means the job is finished. Answering: agents publish replies in your own voice for the cases you choose. Watching: alerts fire on the whole review lifecycle, including edits and removals. Attributing: each review attaches to the person, team or location that earned it.

What is not automated on purpose is judgement. Anything you flag as sensitive waits for a person.

How do I automate Google review replies?

Connect your Google Business Profile, and the default agent reads the replies you have already published so it starts in your voice rather than a generic one.

Then set the rule for what goes out unattended. Rating is the usual first cut, and you can add platform, keyword, review length or location. Everything outside the rule lands in an approval queue as a draft. Most teams begin with 5-star reviews publishing on their own and anything under 3 stars held back, then widen it once they trust the drafts. See how the reply agents work.

Will an automated reply sound like a robot?

Not if it has your history. Every agent is written against the replies you have already published, so the first draft continues the voice you have been using instead of inventing a new one.

On top of that you set the prompt, the signature and the contact details, and run separate agents per brand, location, language or rating so a one-star recovery message never reads like a thank-you note.

Is it against Google policy to automate review replies?

Google publishes policies for the reviews people leave, not for how a business writes its replies. What matters is that the reply is truthful and comes from the business.

Keep a person on anything sensitive. That is what the approval queue is for: the awkward cases wait for a human while the routine ones go out on their own.

How do review requests get sent automatically?

Through the tool that already knows the job is done. Over 600 integrations cover CRMs, booking systems, field service tools, POS and helpdesks, and the request fires on the event you pick: invoice paid, stay checked out, ticket closed. Nobody has to remember to ask. See the integrations.

If your stack is unusual, Magic Links need no integration at all. They are URLs you paste into whatever already emails your customers, and they still carry tracking, conditional redirects and QR codes.

How do you know which employee or location earned a review?

From the integration, not from the review text. The job, the appointment and the rep who closed it are already in your CRM, so the review attaches to the right person without anyone asking the customer to mention a name.

When a reviewer does name someone, the AI matches it anyway, including nicknames and misspellings that would never match a staff list. You confirm the few it is unsure about, and the leaderboard ranks people, teams, locations or products from there.

What happens when a Google review is edited or removed?

You hear about it. A rating changing from 5 to 2 is its own alert, separate from a new review, and you keep both versions of the text.

Removals are the ones nobody else reports. Google takes reviews down silently, sometimes in bulk, and nothing on your Business Profile says which ones went. Reviewflowz snapshots every review it has seen, so a removal arrives as an event with the full text, rating and dates of the one you lost.

Can alerts go to Slack or Microsoft Teams?

Yes, along with email, Zendesk, Zapier and plain webhooks, either live or as a daily or weekly digest.

The routing is per rule, so a 1-star review mentioning “refund” at one branch can reach a different channel from a 5-star review at another. You can also reply from inside Zendesk or Intercom without opening Reviewflowz. See review monitoring.

How long does it take to set up?

Under five minutes, and there is no demo call in the way. Search for your business, connect the profile, and your review history imports while you watch.

The trial runs 14 days and does not ask for a card.

Does it work with review sites other than Google?

Yes. Trustpilot, Facebook, the App Store and Play Store, G2, Capterra, Tripadvisor, the booking and delivery platforms, the job boards.

If the one you need is missing, tell us and we add it. We do not charge extra for the ones we already support.