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France
5
150k
SaaS
React.js/Python
Reeact had built an e-reputation product aimed at businesses and professionals who needed continuous protection of their online image. The platform crawled review sites, social networks and listings, applied AI sentiment and rules to classify content, and exposed a triage console where operators reviewed alerts, attempted automated removals (where platform policies allowed), or escalated cases to legal partners for stronger action. The service combined automated tooling (monitoring, NLP, alerting) with human workflows and legal channels to improve removal success rates and to manage reputational incidents end-to-end.
Scale of web coverage & crawling costs
Continuously monitoring many sources at scale required robust crawling, proxy/IP management and cost control to avoid blind spots.
Platform policy limits (Google & review sites)
Removing content required proving policy violations or legal grounds because platforms only removed posts that breached their rules, which made automated takedowns unreliable without strong evidentiary cases.
Cross-jurisdiction legal complexity
Pursuing removals or legal remedies often required country-specific procedures, notarial steps or lawyer involvement, which increased time and cost.
We built a robust hybrid monitoring pipeline that combined transformer-based sentiment models with human moderation so the platform avoided false positives while still surfacing issues quickly. We automated evidence capture and packaged removal requests to platform APIs and to partnered lawyers, which sped case approval and reduced manual prep work. We hardened crawling and ingestion with headless fallbacks and proxy orchestration so coverage increased without runaway costs. Finally, we added GDPR-compliant audit trails, role controls and SLA dashboards so customers could both act and prove they acted appropriately.
1. Real-time Monitoring
Reeact continuously scanned reviews, social posts, forums and listings and delivered instant alerts when a new mention appeared.
2. AI Sentiment Analysis
The platform used AI to score sentiment and surface trends so teams quickly identified negative spikes and recurring issues.
3. Review & Listing Interventions
Reeact supported workflows to flag inappropriate content and initiate takedown/remediation actions (including Google review interventions and legal escalation via partners).
4. Legal Partner Network
The product routed complex defamation or unlawful-content cases to partnered legal teams to pursue removal or legal remedies.
5. Results Dashboard & Metrics
Dashboards summarized analyses per brand (alerts/day, interventions, scanned results) so customers measured program impact.
6. SaaS Portal & User Accounts
Customers accessed the service via a web portal (app.reeact.io) for configuration, review triage and reporting.
The solution improved user engagement, and a pilot adoption rate exceeding expectations.
Reeact customers detected negative mentions faster and reduced time-to-intervention because automated alerts and evidence packages shortened triage. The hybrid AI + legal workflow raised successful takedown and remediation rates for policy-violating or defamatory content compared with manual-only approaches. Operational automation cut the volume of manual case preparation for legal partners and reduced average handling time per incident. Overall, these changes improved brand sentiment metrics, lowered incident-response costs, and increased client confidence in managing online reputation.
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