TL;DR. JustinHarris.AI, the Las Vegas AI Consultant, runs Review Lite: an automated review request system. You trigger the first send; the system follows up on a fixed three and seven day cadence, collects and publishes the testimonial, and syncs your Google reviews in daily, on rails, with a hard two-nudge cap and an instant kill switch.
What automated review requests actually do for you
Automated review requests turn the review ask from a thing you mean to do into a system that does it. You pick the customer, choose email or text, and click send. From there the system carries it: it sends a personalized link to record a quick testimonial, and if the customer does not record, it sends a gentle reminder at three days and again at seven days, then stops. When the customer records, the testimonial is collected, polished, and published. And every day it pulls your Google reviews into the same place so your collected testimonials and your on-platform reviews live side by side. You are not running a dashboard or learning a tool. You are triggering one action and letting the engine finish the job.
- Send the request on email and/or text from one click.
- Two follow-up reminders, at three days and seven days, then it stops.
- Collect, polish, and publish the testimonial when it comes in.
- Sync Google reviews in daily so everything sits in one place.
Why a review ask should run on rails, not as a blast
A review is a favor, so the way you ask matters as much as the asking. The naive version is to bulk-message a list and hope. That backfires: it nudges people who already replied, it fires at odd hours, and it cannot be stopped once it is running. Review Lite is built the opposite way. The first send is always a human action, never a blast. The follow-up is capped at two, anchored to the day you first asked so the timing stays predictable, and gated to weekday business hours. Most important, the system re-checks at the moment of sending whether the customer has already recorded, and if they have, it suppresses the request and goes quiet. The reminder never reaches someone who has already done the thing you were reminding them about.
How the automated review request follow-up stays safe
Underneath the simple experience are the guardrails that make an unattended send trustworthy. Each reminder stage is claimed by a single atomic database update, so even if two scheduled runs overlap, only one can send and a customer never gets the same nudge twice. Before any reminder goes out, the system re-queries for a submission, checks whether the request was already used, and checks a suppression flag, so stale state cannot cause a wrong send. If a send fails outright, the claim is released and the stage retries on the next eligible run; if it succeeds, it stays stamped and is done. The reminders go out on the same channel the original ask used, from the operator's own address, so replies reach a real person. You get a Slack receipt every time one goes out.
- Idempotent: an atomic stage claim means no double-sends, ever.
- Stop-on-submission: it re-checks at send time and goes quiet if the customer already recorded.
- Same channel, same sender, so replies route to a person.
The kill switch and the cadence dials you control
A safe automation is one you can stop instantly and tune without a developer. Review Lite keeps its kill switch and its timing in a single configuration row in the database, not buried in code or in a deploy. Flip one flag and every follow-up send stops at once, with no redeploy and no waiting. The same row holds the cadence: how many follow-ups (capped at two), the delay to the first, and the delay to the second. If a client wants a softer touch, the numbers change in place and the next run respects them. This is the difference between an automation you have to trust blindly and one that answers to a switch you can reach.
- One flag stops every follow-up send instantly, no redeploy.
- Cadence and follow-up count are tunable in place.
- The test-force flag cannot override the kill switch.
Google review sync, so your reputation lives in one place
Collected testimonials are only half the picture; your Google reviews are the half customers see first. Review Lite syncs each configured client's Google reviews into the same ledger every day, so the video testimonial a customer just recorded and the five-star Google review they left last month sit together. You do not toggle between tabs to understand your reputation. You get one surface that shows requests sent, testimonials in the queue, testimonials published, and Google reviews pulled in, and the daily sync keeps it current without anyone clicking refresh.
How this compares to a reputation platform
Reputation software like Birdeye or Podium hands you a platform and a monthly seat fee per location, then expects you to log in and run it. Review Lite is the opposite arrangement. We run it for you. There is no new inbox to staff and no dashboard to learn. The behavior is the same on every client because the rails are the same: operator-triggered first send, a two-reminder cap, business-hours sends, stop-on-submission, and an instant kill switch. That sameness is what lets one operator run automated review requests for a hundred clients without the system drifting or surprising anyone.
Related work
- The Valhalla operating system that runs this
- The full AI marketing system we run our business on
- AI Managed Services
- See all of our work
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