ReviewPulse — AI Google Review Auto-Responder for Local Businesses

Introduction

ReviewPulse is a Micro SaaS project aimed at providing local businesses with an AI-powered solution to automatically respond to Google Reviews. This document outlines the system requirements for building a production-ready platform that includes a beautiful landing page, user authentication, a dashboard, and various other features to ensure a seamless user experience.

System Overview

ReviewPulse will serve as an automated response tool for local businesses to manage their Google Reviews efficiently. The system will leverage AI to generate appropriate responses to reviews, enhancing customer engagement and satisfaction. The platform will include a user-friendly interface, robust backend, and secure authentication mechanisms.

Functional Requirements as Story Points

• As a Business Owner, I should be able to sign up and log in using Google or email to access the platform.
• As a Business Owner, I should be able to subscribe to a pricing plan using Stripe for payment processing.
• As a Business Owner, I should be able to view and manage my Google Reviews from a centralized dashboard.
• As a Business Owner, I should be able to customize auto-response settings for different types of reviews.
• As a Business Owner, I should be able to view analytics on review responses and engagement.
• As an Admin, I should be able to manage user accounts and subscriptions.
• As a User, I should be able to switch between light and dark modes for the interface.
• As a User, I should be able to update my account settings and billing information.
• As a User, I should be able to view a pricing page with detailed subscription options.
• As a User, I should experience smooth transitions and loading states throughout the application.

User Personas

• Business Owner: A local business owner looking to automate responses to Google Reviews to improve customer interaction and save time.
• Admin: A platform administrator responsible for managing user accounts and overseeing subscription plans.

Core User Flows

• Business Owner signs up/logs in via Google or email -> selects a subscription plan -> accesses the dashboard -> configures auto-response settings -> reviews analytics.
• Admin logs in -> manages user accounts -> oversees subscription plans and billing.

Visuals Colors and Theme

• primary: #0070f3 (a vibrant blue for brand identity)
• primary_light: #3291ff (a lighter blue for hover states)
• secondary: #1c1c1e (a dark gray for neutral elements)
• accent: #ff4081 (a pink for call-to-action buttons and highlights)
• highlight: #ffcc00 (a yellow for notifications and active indicators)
• bg: #ffffff (a white background for clarity)
• surface: #f5f5f5 (a light gray for cards and panels)
• text: #000000 (black for primary text)
• text_muted: #6e6e6e (a muted gray for secondary text)
• border: #e0e0e0 (a subtle gray for borders)

Signature Design Concept

The landing page will feature an interactive "Review Response Journey" animation. As users scroll, they will see a visual representation of a review being processed by the AI, transforming into a polished response. This will be achieved using motion/react for smooth animations. The journey will start with a raw review text, which then travels through a series of animated gears and cogs representing the AI processing, finally emerging as a refined response. Users can hover over elements to see tooltips explaining each step of the process.

Landing Hero Motion Brief

The hero section will depict a seamless transformation of a raw review into a polished response. The animation will loop every 10 seconds, showing the review text entering a machine-like structure, undergoing transformation, and emerging as a response. The animation will be built using motion/react for fluid transitions, ensuring it remains engaging and informative. The first frame will show the raw review text, with the final frame displaying the polished response, both clearly visible and unobstructed.

Interaction Model & Motion Direction

The landing page will utilize an "animated" interaction model, featuring moderate scroll-triggered reveals and hover transitions. This will provide a polished and engaging experience, suitable for a feature-rich product page. Internal pages will maintain a "static" interaction model for clarity and ease of use.

Non-Functional Requirements

• The system must ensure secure access control and data protection.
• The platform should be responsive and accessible across devices.
• The application must handle errors gracefully and provide informative loading states.
• SEO optimization is required for better search engine visibility.

Tech Stack

• Frontend: React for Web
• Backend: Python with FastAPI
• Database: MySQL or MariaDB, using Alembic for migrations
• AI Models: GPT 5.4 for user-friendly responses
• AI Tools: Litellm for LLM Routing, Langchain
• Local Orchestration: Docker, docker-compose
• Server-side Orchestration: Kubernetes

Assumptions and Constraints

• The platform will primarily target local businesses in India, considering locale-specific defaults such as currency (INR) and timezone (IST).
• The system must be scalable to accommodate a growing user base.
• The design should align with modern aesthetics similar to Linear, Notion, or Vercel.

Glossary

• AI: Artificial Intelligence
• LLM: Large Language Model
• SaaS: Software as a Service
• SEO: Search Engine Optimization
• UI/UX: User Interface/User Experience

This document provides a comprehensive overview of the requirements and design for ReviewPulse, ensuring a clear path forward for development and deployment.