Hotel Review Management Software That Shapes the Experience Before the Review

How Conduit works upstream of traditional review platforms

ReviewPro, TrustYou, and Revinate aggregate reviews from TripAdvisor, Booking.com, and Google. They apply sentiment analysis, track reputation scores, and generate response drafts. These tools handle the review after it's written.

Conduit works before. Maintenance complaints get resolved in under 60 seconds through automated workflows. Mid-stay issues are addressed before checkout through proactive agent outreach. The review reflects the experience Conduit's agent helped deliver — a guest who received a personalized check-in message, an upgrade offer they accepted, and a post-stay note acknowledging their anniversary writes a different review than one who got a generic confirmation email.

Three ways Conduit improves review scores

Resolve issues before they become bad reviews. Maintenance requests, room issues, and service complaints get routed to the right team member in under 60 seconds. Conduit's AI agents handle the triage, escalation, and follow-up confirmation so nothing falls through the cracks. A guest who had their problem solved before checkout writes a different review than one who checked out frustrated.

Draft review responses with full stay context. When a review comes in, Conduit pulls the full conversation thread from that guest's stay. The agent drafts a response that references the specific issue raised, the resolution that was confirmed, and any service recovery that occurred. GMs approve responses that feel personal and credible because they're grounded in what actually happened. Potential guests reading the response see a property that pays attention and follows through.

Send review requests at the right moment, in the right channel. Post-stay review requests fire automatically within two hours of checkout through the channel the guest was already communicating on. The request includes enough stay context to feel personal: "We're glad we could arrange that early check-in for your anniversary trip." Response rates improve because the ask feels like it comes from someone who was paying attention.

Reputation outcomes

Haven (270 properties) achieved 55–59% Airbnb Guest Favorite status while running at 95% automation. Response times dropped, resolution quality improved, and reputation metrics followed.

The Lauderdale Hotel unlocked over $500K in added asset value, with $3,400 in additional net operating income per month. Faster response times and better issue resolution translated directly to higher NOI.

Cascadia Getaways built an AI-first operation where guests think they're talking to locals. Their team is happier, reviews improved, and the property scaled without the hiring cycles that slow competitors down.

From guest arrival to post-stay review request

The guest journey with Conduit runs from pre-arrival through post-stay, with the agent present and context-carrying at every stage.

Pre-arrival: Personalized messages with check-in instructions and local recommendations set the right expectation before the guest walks through the door. If they're celebrating an anniversary, the message acknowledges it.

During stay: Maintenance requests are routed in under 60 seconds. Mid-stay check-ins ask if everything is meeting expectations. Upgrade offers go out when availability opens up. Issues get resolved before they become complaints.

Post-checkout: Within two hours of checkout, the post-stay sequence fires through the guest's preferred channel with personalized stay context. The timing and channel alignment produces materially higher response rates than generic post-stay email blasts.

Review response: When a review comes in, the agent drafts a response with the full conversation thread from that guest's stay — not a template, but a response grounded in what actually happened.

Enterprise security

Conduit is SOC 2 Type II certified, HIPAA certified, GDPR compliant, and ISO 27001 certified. End-to-end encryption, role-based access, and audit logs protect guest data across all AI-powered operations. Single sign-on, multi-factor authentication, and custom data retention policies give enterprise security teams the controls they require.