Review Reply Engine

For

Owners and office managers at local service businesses

Solves

New reviews pile up unanswered or get rushed, defensive replies.

Delivers

Auto-posted personalised replies, held drafts for approval, and a weekly complaint theme summary

Built in

10 days of creation time, MVP in 2 days

Investment

$5,000 for the MVP, $15,500 for the full product

Run it

Inside your business, or as part of your offer to clients

For owners and office managers at local service businesses, turn incoming reviews and past reply examples into personalised, on-brand responses plus a weekly complaint pattern summary.

1. Connect review platforms and import new reviews.
2. Score sentiment and flag keywords.
3. Draft replies in the owner's voice.
4. Hold replies below a sentiment threshold.
5. Notify via Slack or email for approvals.
6. Generate a weekly complaint theme summary.

What goes in, what comes out

The workflow

1. In
   Start with

   Google Business Profile access, up to two other review platform APIs, and ten example replies the owner is proud of

2. 1

   Connect review platforms

3. 2

   Upload sample replies

4. 3

   Set escalation keywords

5. 4

   Review held replies for a week

6. 5

   Switch to auto-post for approved categories

7. 6

   Receive weekly summaries

8. Out
   Finish with

   Auto-posted personalised replies, held drafts for approval, and a weekly complaint theme summary

AI does the heavy lifting, people stay in charge

Use language models to learn tone from sample replies and draft responses. Score sentiment and detect billing or legal keywords deterministically. A person reviews all held replies and approves or edits before posting; auto-post only applies to high-sentiment, non-escalated reviews.

What your team sees

Key screens: Review inbox, reply composer, escalation queue, weekly summary. Use a central inbox listing new reviews with sentiment and suggested action. Show a composer with the AI draft, tone indicator and edit field. Display an escalation queue for held replies with review, draft and approve or discard buttons. Provide a weekly summary view grouping complaint themes. In this product, the first view is review inbox, followed by reply composer and escalation queue.

Accounts and administration

Account ownership, review platform connections, escalation keyword lists, approval logs, auto-post rules, notification preferences and an audit trail of all posted and held replies.

Integrations and data access

Google Business Profile, Yelp, Facebook, Slack, email and a simple web dashboard.

We build with our own AI software development factory, so most implementations take days to a few weeks of creation time, not months. You see working software at every step, and exact timing depends on availability.

1. 1

   Scoping call

   Day 1

   Thirty minutes on your process, your data and how you want to run it: for your own team, or for your clients. You get a fixed scope and price for the MVP.

2. 2

   MVP

   2 days

   One buyer segment, one recurring use case. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   3 days

   Accounts, roles, review states, audit trail and the first integration, hardened for two to three paying pilot customers.

4. 4

   Full product

   5 days

   Self-serve onboarding, billing, monitoring and the wider integration set.

5. 5

   Run and improve

   Monthly

   We host, monitor and improve it for a fixed monthly fee, or hand it over to your team. How the retainer works.

Why we start with an MVP

An MVP, or minimum viable product, is the smallest version that your users can actually work with. It is not a cheap version of the full solution. It is a test, built to answer the questions that decide whether the rest is worth building.

1. Pick the riskiest assumption. Here: will owners and office managers at local service businesses use it to solve "new reviews pile up unanswered or get rushed, defensive replies"?
2. Build only what tests it. One team, one use case, a few core modules. People do the rest by hand for now.
3. Run a paid pilot. A paid pilot with one home services business proves the value by measuring reply time before and after, and the owner's approval rate on drafts.
4. Measure, then decide. Track average time from review to reply and and percentage of sensitive complaints flagged before posting. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. One buyer, Google reviews only, reply drafting and escalation queue modules, manual approval for all replies in the first week.

After the MVP. After the paid pilot, automate posting for high-sentiment reviews, add more review platforms, and generate monthly operational trend reports from complaint themes.

What the build depends on. Stable APIs from review platforms, a language model with fine-tuning or few-shot capabilities, and a notification service for Slack or email.

A planning range to start the conversation, not a quote. You pay per phase, so you can stop after the MVP.

Running costs per month

A rough indication of monthly hosting and AI model costs once it is live, not tested. Real costs depend on usage, file sizes and the models chosen.

Your brand, or this one

Run it under your own brand, or start from this concept style.

Selling it to your own clients: the go-to-market playbook

Pricing to test

Test pricing at USD 99 per month per location, with a setup fee of USD 250 for voice training and integration.

Message to test

Never miss a review again: replies in your voice within the hour, and the sensitive ones wait for you.

Where to find buyers

Local business forums, Google Business Profile help communities, home services trade groups and small business owner social media groups.

Lead magnet

A free sample reply written in their voice for their three most recent reviews.

The first 30 days

1. Week 1: Set up integrations and collect sample replies.
2. Week 2: Train the voice model and agree escalation keywords.
3. Week 3: Run manual review of all drafts with the owner.
4. Week 4: Switch to auto-post for approved categories and deliver the first weekly summary.

Paid pilot

A paid pilot with one home services business proves the value by measuring reply time before and after, and the owner's approval rate on drafts. Baseline is current reply time and missed reviews; decision to continue is a reply time under one hour and 80% approval rate on auto-posted replies.

Success metrics

Average time from review to reply, and percentage of sensitive complaints flagged before posting.

Retention and expansion

Monthly subscription continues as the system learns from approved edits and the weekly summary becomes a habit; add-on modules for more platforms or deeper analytics increase value.

Why clients would pick it

The voice model improves with every approved edit and the escalation keyword list becomes tailored to the business, making the system harder to replicate with generic tools.

Alternatives and positioning

Owners manually typing replies or using generic chatbot templates; this differs by learning from their own writing and flagging operational issues proactively.

Main delivery costs

API costs for language model calls, review platform integration maintenance, and initial voice training setup time.

Auto-post only for high-sentiment reviews, a mandatory human approval gate for low-sentiment or keyword-flagged replies, and a blocklist for legal or billing terms. It must not post replies without approval for any negative review or mention specific staff without confirmation.