Online review response and request coordination portal

For

Local service businesses and multi-location operators managing public review profiles

Solves

Incoming reviews go unanswered, review requests are sent inconsistently, and no one owns the reply or the follow-up.

Delivers

Owner-approved review replies and tracked review requests

Built in

about 4 weeks of creation time, MVP in 4 days

Investment

$13,500 for the MVP, $46,000 for the full product

Run it

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

Reduce unanswered reviews and manual reply work while keeping the owner's voice and brand.

1. Monitor incoming reviews across connected profiles in real time.
2. Generate personalized reply drafts in the brand voice.
3. Allow manual writing and posting of replies.
4. Provide editable templates for requests and replies.
5. Generate and manage replies in multiple languages.
6. Send review request invitations by email or SMS.
7. Send requests through WhatsApp, Instagram, email or QR codes.
8. Share selected positive reviews to social channels.
9. Track review activity, ratings and response metrics.
10. Generate optimized business descriptions and posts.
11. Connect profiles and contact sources through guided setup.
12. Run a bounded trial on a limited review volume.
13. Draft requests naming the staff member and service.
14. Send SMS feedback requests through a verified link provider.
15. Collect video testimonials alongside text.
16. Attribute 5-star ratings to individual staff.
17. Expose API access for request automation.
18. Meter usage through a credit-based request balance.

Everything these tools do, in one app

• Review Tracking Monitor incoming customer reviews in real time to stay informed about feedback.Found in LOCALBOSS
• AI Response Generation Automatically create personalized, human-like replies to customer reviews using AI.Found in LOCALBOSS, FullReviews, MARA and 1 more
• Manual Reply Option Allow users to write and post their own responses to reviews for a personal touch.Found in FullReviews
• Customizable Templates Provide editable templates for review requests and responses to match brand voice.Found in LOCALBOSS
• Multi-Language Support Generate and manage review responses in multiple languages to serve diverse customers.Found in MARA, ProfilePro
• Review Request Module Send automated invitations to customers asking them to leave reviews via email or SMS.Found in FullReviews
• Multi-Channel Review Requests Request reviews through various channels like WhatsApp, Instagram, Email, or QR codes.Found in LOCALBOSS
• Social Media Sharing Share positive reviews on social media platforms to amplify customer satisfaction.Found in LOCALBOSS
• Analytics Dashboard Track review activity, performance metrics, and star rating improvements.Found in FullReviews, MARA
• Profile Optimization Automatically generate optimized business descriptions and posts to improve Google Maps rankings.Found in ProfilePro
• Easy Integration Quickly set up and integrate the tool with existing systems.Found in MARA
• Free Trial Test the tool's capabilities at no cost for a limited number of reviews.Found in MARA
• Personalized Review Drafts Create AI-generated review drafts that include staff member names and services provided.Found in Spokk
• SMS Feedback Requests Send feedback requests via SMS using unique, verified links through Twilio integration.Found in Spokk
• Video Testimonials Collect customer testimonials in video format in addition to text.Found in Spokk
• Staff Performance Measurement Measure individual staff performance through 5-star customer ratings.Found in Spokk
• API Access Provide API access for automating feedback requests and integrating with other systems.Found in Spokk
• Credit-Based Payment Use a pay-as-you-go credit system to pay only for the feedback requests sent.Found in Spokk

What goes in, what comes out

The workflow

1. In
   Start with

   Connected review profiles, customer contact lists, brand voice rules and staff records

2. 1

   Confirm the buyer's problem and scope

3. 2

   Connect review profiles

4. 3

   Customer contact lists

5. 4

   Brand voice rules and staff records

6. 5

   Then follow this sequence: 1

7. Out
   Finish with

   Owner-approved review replies and tracked review requests

AI does the heavy lifting, people stay in charge

Use AI to interpret permitted inputs, suggest structured mappings and generate candidate outputs for the three stated task modules. Use deterministic code for arithmetic, schema validation, hard constraints and reproducible tests. Review source-linked explanations and uncertainty before accepting results. One connected profile set and one approved brand voice; final reply tone, factual claims and posting remain human. A model suggestion is never a verified fact, professional decision or authorization to act.

What your team sees

Primary screens: Review inbox and reply queue, Request campaign builder, Performance dashboard. Use a list view for locations, a central review card with reply draft and history, and a right-hand panel for brand voice, templates and staff tags. Let users compare AI draft against manual edit side by side. Display new, replied, escalated and approved states. Provide a client-facing request link with status and opt-out. Make the task-specific outcome owner-approved review replies and tracked review requests visible beside its evidence, review state and value baseline.

Accounts and administration

Location ownership, contact list versions, template versions, approval states, request allowances, reply history and a consent record for contacted customers. Add organization access boundaries, named reviewers, usage caps, data retention controls, export logs and explicit approval for external posting.

Integrations and data access

Review platform profiles, customer contact sources and messaging providers. Cloud contact storage, social posting destinations and SMS link providers. Start with file exchange and validate destination specifications before promising direct posting. Start with authorized file exchange. Validate current provider access, usage rights and schema behavior before promising a connector.

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

   4 days

   One buyer segment, one recurring use case; first modules: monitor incoming reviews across connected profiles in real time; generate personalized reply drafts in the brand voice. Manual review in the loop. Built by our AI software factory.

3. 3

   Paid pilot

   5 days

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

4. 4

   Full product

   9 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 local service businesses and multi-location operators managing public review profiles use it to solve "incoming reviews go unanswered, review requests are sent inconsistently, and no one owns the reply or the follow-up"?
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. Agree quality and outcome thresholds before the pilot using this measure: Reply rate within target window and new reviews per requested customer.
4. Measure, then decide. Track reply rate within target window and new reviews per requested customer; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase. Then expand, change course or stop, with evidence instead of opinions.

MVP scope for this solution. Pilot scope: One connected profile set and one approved brand voice; final reply tone, factual claims and posting remain human. Implement one approved input format, a bounded representative case set and the first two task modules: monitor incoming reviews across connected profiles in real time; generate personalized reply drafts in the brand voice. Support the third module with operator review: allow manual writing and posting of replies. Include source references, corrections, basic organization access, approval states, export and value measurement. Use managed operator assistance for unresolved exceptions. The cost estimate covers this narrow prototype, not unrestricted multi-tenant scale, complex production integrations, specialist certification or physical operations.

After the MVP. Once paid pilots prove usefulness, automate repeatable reviewed steps and add one verified source integration. Expand supported inputs and case volume only after new evaluation cases pass. Build reusable customer configurations and recurring value reports around owner-approved review replies and tracked review requests. Retain the explicit scope boundary: One connected profile set and one approved brand voice; final reply tone, factual claims and posting remain human.

What the build depends on. Profile connection and preview, asynchronous generation jobs, editable version history, reviewer access and tested export formats. High-fidelity posting requires platform access and human approval. Obtain representative authorized cases, baseline measurements, qualified reviewers and a buyer-side decision owner. Specific limitation: One connected profile set and one approved brand voice; final reply tone, factual claims and posting remain human.

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 a USD 300-1,500 fixed pilot for one defined location set. Offer a monthly production allowance after repeat demand. Quote complex multi-location or video work separately. These are test prices, not market benchmarks. Package the initial sale as one bounded owner-approved review replies and tracked review requests. Recurring fees must specify volume, review depth and integration support. For exchanges, test a disclosed coordination or successful-service fee rather than holding customer funds. Reprice only after measuring real delivery labor; platform-build cost is separate from a commercial pilot fee.

Message to test

Reduce unanswered reviews and manual reply work while keeping the owner's voice and brand. Demonstrate a concrete owner-approved review replies and tracked review requests using the buyer's approved example and show the baseline, corrections and actual delivery effort.

Where to find buyers

Local service businesses and multi-location operators managing public review profiles professional communities; specialist consultants serving this buyer; permissioned partner introductions; practical demonstrations at relevant trade or practitioner events.

Lead magnet

A reviewed sample owner-approved review replies and tracked review requests from a small authorized input set, with a transparent calculation of reply rate within target window and new reviews per requested customer and no promised savings.

The first 30 days

1. Week 1: interview five local service businesses and multi-location operators managing public review profiles and inspect a recent example of incoming reviews go unanswered, review requests are sent inconsistently, and no one owns the reply or the follow-up.
2. Week 2: prepare a consented or synthetic demonstration of the three task modules.
3. Week 3: seek one bounded paid pilot with agreed baseline and acceptance criteria.
4. Week 4: measure reply rate within target window and new reviews per requested customer, reviewer effort and repeat-purchase interest. This is a demand-validation plan, not a thirty-day full-product delivery promise.

Paid pilot

Agree quality and outcome thresholds before the pilot using this measure: Reply rate within target window and new reviews per requested customer. Continue only if the buyer accepts the actual output, the intended job outcome improves without unacceptable errors, and measured delivery cost fits willingness to pay. Revise or stop if access is unavailable, qualified review cannot be provided, or apparent savings disappear after corrections and support. Use held-out cases when comparing model quality; use a properly reviewed comparison design before making causal claims. Record missing cases and negative results alongside successful outputs.

Success metrics

Reply rate within target window and new reviews per requested customer; accepted-output rate; material error rate; reviewer correction time; actual repeat purchase.

Retention and expansion

Repeat the workflow when the buyer again needs owner-approved review replies and tracked review requests. Retain permissioned settings and reviewed examples, report realized value honestly, and sell increased volume or adjacent approved workflows only after contribution margin and quality remain acceptable.

Why clients would pick it

A reusable library of approved reply styles, request templates and review examples, together with reliable delivery for a narrow local-business niche. Build a permissioned library of representative task cases, reviewer corrections and verified operating constraints for local service businesses and multi-location operators managing public review profiles. Repeatable delivery and useful integrations matter more than access to a base model.

Alternatives and positioning

LOCALBOSS, FullReviews, MARA, ProfilePro and Spokk, plus manual replies and spreadsheets. Compare this product with the buyer's present method on reply rate within target window and new reviews per requested customer. Offer a bounded paid workflow instead of claiming broad autonomous expertise. Market uniqueness and competitor coverage are not verified.

Main delivery costs

Generation attempts, SMS and messaging fees, storage, reviewer hours, client revision rounds and connected profile access. Additional initial validation requires representative authorized sample preparation, buyer interviews, buyer-side evaluation and bounded validation of owner-approved review replies and tracked review requests. Track cost per accepted output, including correction work, unsuccessful cases and support.

Preserve customer consent, contact permissions, factual accuracy and platform terms. Owners approve substantive replies and posting scope. One connected profile set and one approved brand voice; final reply tone, factual claims and posting remain human. Keep all consequential actions under authorized human control and do not fabricate missing inputs, permissions, professional judgments or market evidence.