AI-Powered
Review & Reputation Management

Why Most Businesses Lose the Reputation Game

Online reviews have become the primary trust signal for purchase decisions. 93% of consumers say online reviews influence their buying choices. 84% trust online reviews as much as personal recommendations. And the platforms keep multiplying: Google Business, Yelp, TripAdvisor, Trustpilot, G2, Capterra, Facebook, the Better Business Bureau, industry-specific directories, and dozens more.

Most businesses manage reviews reactively, if they manage them at all. Someone checks Google reviews once a week, spots a negative review, drafts a response, gets it approved, and posts it four days after the review was written. By then, hundreds of potential customers have seen the negative review without a response, forming their impression of a business that either doesn't care or doesn't pay attention.

The problem compounds because review management touches multiple departments. A complaint about a product is the product team's issue. A service complaint belongs to operations. A billing dispute is finance. Without a system that routes, tracks, and responds across these boundaries, reviews fall through organizational cracks.

Sentie's reputation agents monitor every review platform in real time, respond within minutes based on your brand voice and response policies, route operational feedback to the right teams, and build a systematic program for growing positive reviews. The result is a reputation that's actively managed rather than passively suffered.

Real-Time Monitoring Across Every Platform

You can't manage what you can't see. Many businesses don't even know they have reviews on certain platforms until a customer mentions it. A scathing review on an industry directory might sit for months before anyone from your team discovers it.

Sentie's monitoring agents track reviews, ratings, and mentions across all major review platforms, social media channels, and industry-specific directories relevant to your business. New reviews trigger alerts within minutes, classified by platform, sentiment, urgency, and topic. Your team sees every review in a single dashboard rather than checking a dozen platforms individually.

The monitoring goes beyond your own reviews. The agents track competitor reviews and ratings to provide context and competitive intelligence. If a competitor's ratings are declining due to a specific issue, you know about it. If a competitor is being praised for something you don't offer, you know about that too. This intelligence informs both your reputation strategy and your broader business decisions.

Mention monitoring extends to social media, forums, and news sites where customers discuss your brand without leaving a formal review. A complaint tweet, a Reddit thread, or a blog post mentioning your business gets captured and classified alongside your formal reviews, giving you a complete picture of your online reputation.

AI-Powered Response That Protects Your Brand

Responding to reviews is a skill that combines customer service, brand communication, and conflict resolution. Most businesses either don't respond at all, respond with generic templates that feel impersonal, or occasionally fire off defensive responses that make things worse.

Sentie's response agents craft personalized replies based on the specific content of each review, your brand voice, and your response policies. For positive reviews, the agent acknowledges the specific things the customer praised, reinforcing the positive experience and encouraging loyalty. For neutral reviews, the agent thanks the customer, addresses any concerns mentioned, and invites them to return. For negative reviews, the agent acknowledges the issue, apologizes appropriately, offers a specific resolution path, and takes the conversation offline when needed.

The responses are never defensive, argumentative, or dismissive. They're calibrated to demonstrate that your business reads every review, takes feedback seriously, and acts on it. This matters not just for the reviewer, but for every potential customer who reads the exchange afterward.

Sensitivity calibration is built in. Reviews involving legal issues, discrimination claims, employee complaints, or health and safety concerns get routed to your team for human response rather than receiving an AI-generated reply. Your Success Manager defines these escalation triggers during setup and adjusts them based on your risk tolerance and industry requirements.

Response timing matters too. The agents respond within minutes of a review posting, which signals attentiveness. For businesses that prefer human review before posting, the agent drafts the response and queues it for approval, with the goal of getting responses published within hours rather than days.

Sentiment Analysis and Operational Intelligence

Reviews are more than a reputation metric. They're the most honest, unfiltered feedback your business receives. Customers describe exactly what went right, what went wrong, and what they expected. But extracting actionable insights from hundreds of free-text reviews is impossible to do manually at scale.

Sentie's analysis agents process every review for topic-level sentiment. Rather than just classifying a review as positive or negative, they identify the specific aspects being praised or criticized: food quality, wait times, staff friendliness, product durability, pricing transparency, checkout experience, delivery speed, or any other dimension relevant to your business.

This granular analysis reveals operational patterns that aggregate ratings obscure. A restaurant's overall rating might be 4.2, but sentiment analysis might show that food quality scores a 4.7 while service speed scores a 3.1. That specificity tells you exactly where to invest improvement efforts for the greatest reputation impact.

Trend analysis adds a time dimension. The agents detect shifts in sentiment before they show up in your aggregate rating. If mentions of slow service have increased 40% over the past month, the agent flags it as an emerging issue while your overall rating might not have budged yet. This early warning gives you time to intervene before the problem becomes a visible ratings decline.

Your Success Manager translates these insights into actionable recommendations during monthly reviews. The analysis doesn't just tell you what customers are saying. It tells you what to do about it, prioritized by impact on your reputation and revenue.

Systematic Review Generation and Rating Growth

Most satisfied customers don't leave reviews unless prompted. The customers most likely to write reviews unprompted are the very happy and the very unhappy, which skews your public reputation away from the typical experience. A systematic review generation program corrects this skew by making it easy for satisfied customers to share their experience.

Sentie's generation agents implement post-interaction review request sequences that are timed, channeled, and messaged for maximum conversion. The request goes out at the optimal moment after a purchase, service, or interaction, through the channel the customer is most responsive to, with a message that makes leaving a review as frictionless as possible. Dental practices and HVAC contractors see especially strong results because their businesses depend heavily on local search rankings driven by review volume and quality.

The timing is critical. Request a review too soon and the customer hasn't fully experienced your product or service. Request too late and the experience has faded from memory. The agents optimize timing based on your specific business: immediately after a restaurant meal, 3-5 days after a product delivery, or 1-2 weeks after a service engagement, calibrated to when satisfaction peaks for your customer type.

Platform routing ensures reviews go where they matter most. If your business needs Google reviews for local search visibility, the request links to Google. If you need G2 reviews for software credibility, it links there. The agent can also implement sentiment pre-screening, where customers are asked about their experience before being directed to a public platform. Customers who indicate dissatisfaction get routed to a private feedback channel where you can resolve their issue before it becomes a public review.

This isn't fake review generation or incentivized reviewing. It's a systematic program for making it easy for genuinely satisfied customers to share their experience publicly. Most clients see a 40-80% increase in review volume and a 0.2-0.5 star average rating improvement within the first 90 days.

How It Works

Industries This Solution Serves