Review & Reputation Management

Part of the worlds-biggest-software-project initiative.

An AI-native, open-source platform for aggregating reviews, drafting brand-consistent responses, and tracking sentiment across every channel where a brand's reputation is shaped — including AI answer engines.

Review & Reputation Management is a candidate project to build an open alternative to closed reputation suites such as Birdeye, Podium, and Reputation.com. It is aimed at multi-location operators, e-commerce brands, and communications teams who need centralised review aggregation, AI response drafting, and sentiment trending without per-location pricing escalation.

Why Review & Reputation Management?

Per-location pricing penalises scale. Birdeye and Podium charge $299–$449 per location per month, making centralised reputation tooling prohibitively expensive for large multi-location chains.
Enterprise suites are heavyweight. Reputation.com runs $500–$2,000+ per month with complex implementation, locking out mid-market operators that still need 250-platform coverage.
AI answer engines are an unmonitored channel. ChatGPT, Gemini, Perplexity, and Claude increasingly mediate brand discovery, but only Birdeye Search AI and Brand24 currently track how LLMs describe brands.
Compliance is fragmented. FTC endorsement rules, Google Business Profile policies, GDPR right-to-erasure, HIPAA, and ISO 20488:2018 each impose obligations that incumbent tools address inconsistently.
AI response drafting is still gated by humans. Most platforms require human review of every AI-generated reply, leaving consistent multi-location response at scale unsolved.

Key Features

Review Aggregation & Monitoring

Aggregation across 100+ review platforms (Google, Trustpilot, Yelp, Amazon, Facebook, industry-specific)
Real-time monitoring with alerts for new reviews, mention spikes, and negative-sentiment drift
Multi-location dashboard for oversight across hundreds of locations
Listings management with duplicate detection and unauthorised-change alerts
Unified messaging inbox consolidating SMS, social, chat, and email

AI Response & Generation

LLM-powered review response drafting that maintains consistent brand voice
Human-in-the-loop approval workflows, with optional agentic mode for autonomous response
Multi-channel response consistency via a central response repository with cross-platform sync
Dynamic review-solicitation timing optimised by purchase history and engagement signals
Review request automation via email and SMS post-purchase or post-service

Sentiment & Intelligence

Sentiment classification (positive, negative, neutral) on aggregated reviews and feedback
Six-emotion detection (joy, anger, sadness, fear, surprise, trust)
Topic extraction and clustering across review corpora
AI-powered root-cause analysis surfacing recurring themes from review text
Proprietary reputation score synthesising public reviews and private survey feedback

LLM & AI-Search Monitoring

Tracking how ChatGPT, Gemini, Perplexity, and Claude describe the brand
Cross-platform narrative tracking to identify emerging reputational themes
Crisis prediction via sentiment-trend acceleration detection
Automated competitor benchmarking on rating, volume, and topic-level sentiment

Compliance & Governance

FTC endorsement and disclosure verification on solicitation and response workflows
Google Business Profile policy guardrails for review solicitation
GDPR right-to-erasure automation that preserves aggregate sentiment trends
HIPAA-aware workflows for healthcare operators
Alignment with ISO 20488:2018 for review collection, moderation, and publication

AI-Native Advantage

LLM-powered response generation drafts brand-appropriate replies at scale across thousands of locations without requiring human review for every message. AI monitoring of ChatGPT, Gemini, and Claude exposes a reputation channel that traditional aggregators miss entirely. Cross-platform narrative tracking surfaces emerging complaint themes days before they reach critical mass, and automated sentiment benchmarking against competitors gives brands a real-time relative reputation score without commissioning primary research.

Tech Stack & Deployment

The project targets a self-hostable, open-source deployment with optional managed cloud, intended to integrate with the major CRMs (Salesforce, HubSpot), SMS and messaging APIs, social platforms, and analytics/BI tooling that incumbents already plug into. Platform connectors must respect Instagram, Facebook, Google, and TikTok terms of service, including rate limits and authentication. Compliance with ISO 20488:2018, GDPR, FTC endorsement guidelines, Google Business Profile policies, and HIPAA is part of the core architecture rather than an add-on.

Market Context

The online reputation management market was valued at approximately USD 6.88–7.75 billion in 2025–2026 and is projected to reach USD 14 billion by 2031 at a CAGR of around 12.6% (Mordor Intelligence). Incumbent pricing spans $79/month for SMB social listening (Brand24), $299–$449 per location for mid-market suites (Birdeye, Podium), and $500–$2,000+ for enterprise platforms (Reputation.com, Brandwatch). Primary buyers are multi-location franchise operators, hospitality and healthcare chains, e-commerce brands managing product reviews, and communications teams at publicly traded companies.

Project Status

This project is in the research and specification phase.
Contributions, feedback, and domain expertise are welcome.

Contributing

We welcome contributions from developers, domain experts, and potential users. See CONTRIBUTING.md for guidelines.

Important: All contributions must be your own original work or clearly attributed open-source material with a compatible licence. Copyright infringement and licence violations will not be tolerated and will result in immediate removal of the offending contribution. If you are unsure whether a piece of code, text, or other material is safe to contribute, open an issue and ask before submitting.

Licence

Licence to be determined. See discussion for context.