AI reputation management determines how your brand is summarized, surfaced, and trusted in AI-driven search results. A recent survey shows that 87% of customers avoid brands they don’t trust, making online perception a direct revenue driver.
In 2026, AI search engines summarize your business before customers ever visit your website. Synthetic reviews, slow responses, unmanaged sentiment, and inconsistent engagement can quietly erode trust and revenue within minutes.
AI reputation management uses machine learning, automation, and predictive intelligence to monitor, analyze, and improve brand perception in real time. AI in reputation management is evolving from basic automation into proactive AI workforce agents that actively protect and grow brand equity.
Respond to every review faster, smarter, and on brand with AI
TL;DR
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AI reputation management automates monitoring, sentiment analysis, and review responses in real time.
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AI in reputation management now influences AI-generated search summaries and buyer trust.
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Platforms like Vendasta combine Reputation AI and AI workforce agents to proactively protect and grow SMB brands.
What Is AI Reputation Management?
AI reputation management is the use of artificial intelligence to monitor, analyze, and improve a business’s online reputation across review platforms, search engines, and social channels.
It includes:
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AI sentiment analysis
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Automated review monitoring
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Smart response generation
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Predictive risk alerts
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AI-powered reputation dashboards
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Automated review request campaigns
Unlike traditional manual monitoring, AI reputation management tools process thousands of signals instantly and identify trends before they escalate. This is the foundation of modern AI for online reputation management.
When combined with a platform like Vendasta’s AI Employees, built to work across acquisition, engagement, and customer experience, reputation management becomes part of a larger growth engine.
What Is AI in Reputation Management?
While AI reputation management refers to the operational systems, AI in reputation management refers to the broader strategic application of artificial intelligence across brand perception, engagement workflows, predictive analytics, and AI search optimization.
In short:
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AI reputation management = execution layer
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AI in reputation management = strategic intelligence layer
This distinction strengthens topical authority and helps capture both informational and commercial search intent.
How AI Is Changing Reputation Management
AI is transforming reputation management in five major ways:
1. Real-Time Sentiment Analysis
AI processes reviews instantly and categorizes sentiment automatically.
2. Predictive Risk Detection
Instead of reacting to bad reviews, AI detects negative sentiment trends early.
3. AI-Generated Review Responses
Context-aware responses that match brand tone and improve engagement.
4. Automated Review Generation
AI intelligently triggers review requests at optimal customer moments.
5. AI Search Visibility Impact
Generative search engines now incorporate review sentiment into summaries.
In 2026, AI in reputation management isn’t optional. It’s infrastructure.
Why Is Reputation Management Important for SMBs?
Small and medium-sized businesses (SMBs) depend on their online reputation to attract and retain customers.
90% of consumers read online reviews before making a purchase, making reputation management for small businesses a critical factor for long-term success and local search visibility.
Without a proactive approach, negative reviews can damage credibility and push potential customers toward competitors.
- Boosts Local SEO Rankings: Search engines prioritize businesses with strong reviews, helping SMBs rank higher and attract more leads.
- Drives Customer Acquisition: A well-managed online reputation builds trust and encourages conversions.
- Mitigates the Impact of Negative Reviews: AI-powered reputation management software enables agencies to track, analyze, and respond to reviews in real-time, ensuring a fast and effective resolution.
Interestingly, 35% of users filter specifically for four-star reviews when researching businesses. This highlights how potential customers trust balanced feedback more than perfect ratings, making it essential for SMBs to monitor and manage every review.
Agencies that offer AI reputation management services gain a competitive advantage by providing SMBs with automated tools that enhance brand perception, increase trust, and drive revenue. AI-powered reputation management tools help businesses maintain a strong online reputation without the manual workload.
Traditional Reputation Management vs AI Reputation Management
Reputation management used to be slow, reactive, and easy to overwhelm. Businesses checked reviews manually. Agencies juggled countless tabs just to keep up. And issues often surfaced after damage was already done.
AI changes that rhythm entirely.
Below is a simple breakdown of how the two approaches differ:
| Function | Traditional Reputation Management | AI Reputation Management |
| Review Monitoring | Manual, inconsistent, easy to miss | Always-on, multi-platform monitoring |
| Response Speed | Hours or days | Real-time, automated, personalized replies |
| Sentiment Insights | Surface-level | Deep sentiment analysis + trend prediction |
| Crisis Detection | Often too late | Early warnings from AI-driven pattern recognition |
| Scalability | Difficult, labor-intensive | Effortless, even with multi-location clients |
| Reporting | Basic metrics | Comprehensive analytics + AI-generated summaries |
What this really means is simple:
AI shifts reputation management from maintenance to momentum. When systems learn from first-party data and act automatically, businesses gain a tool that protects their credibility while fueling customer acquisition.
The Benefits of AI Reputation Management
Implementing reputation management allows agencies to streamline operations while delivering high-value services to SMB clients. AI-powered reputation management software enhances efficiency, improves engagement, and drives measurable results.
AI reputation management shifts teams from reactive monitoring to proactive growth optimization.
Scale Reputation Management Without Increasing Workload
Managing an SMB’s online reputation manually is time-consuming and inefficient. AI-driven reputation management tools help you handle multiple clients effortlessly.
- AI-powered automation tracks, analyzes, and manages reviews across all platforms.
- AI reputation management software reduces manual workload while ensuring a proactive approach.
- Scale reputation services without adding overhead, creating a recurring revenue stream.
Automate Review Monitoring and Responses for Faster Engagement
Timely responses to customer reviews are essential for building trust and improving brand perception. AI-powered online reputation management software ensures every review is addressed without delays.
- AI-generated replies maintain a consistent brand voice across social media and review platforms.
- AI uses predictive analytics to assess the sentiment and context of each review, tailoring responses accordingly.
- AI-driven social listening tools track and respond to mentions in real time, strengthening customer relationships.
Deliver Data-Driven Insights That Prove ROI
SMBs want measurable proof that their reputation management efforts drive business growth. AI-powered reputation management tools help you provide clear, actionable insights that show real impact.
- Track Sentiment and Feedback: Monitor sentiment trends, star ratings, and customer feedback with AI and machine learning.
- Generate White-Labeled Reports: Share professional reports that highlight review trends, response times, and key improvement areas.
- Show the Business Impact: Use AI algorithms to connect improved reputation with higher trust, better SEO rankings, and increased customer acquisition—making the ROI clear.
Why Speed Matters in AI Reputation Management
Online reputation moves faster than most teams can keep up with. A single negative review can shift search visibility. A social comment can spread beyond the original platform. And in competitive local markets, delayed responses often look like indifference.
AI eliminates that lag.
Here’s why speed is such a critical advantage:
- Real-time review alerts: AI flags new reviews across Google, Yelp, Facebook, and niche platforms the moment they appear.
- Instant, brand-safe responses: AI Employees craft on-brand replies that maintain tone, empathy, and accuracy.
- Early warning signals: Predictive models spot sentiment drops and recurring issues before they impact revenue.
- Local crisis prevention: Problems at a single location can escalate fast. AI catches them early, reducing risk for multi-location businesses and franchises.
Fast action builds trust. And when trust rises, everything else follows—better search rankings, stronger customer loyalty, and higher conversion rates.
For partners, speed also becomes a differentiator. It’s proof that your service delivers immediate impact without adding operational strain.
How Agencies Can Future-Proof Their Reputation Management Strategy with AI
To stay ahead, agencies must adopt AI reputation management strategies that automate tasks, enhance customer engagement, and deliver data-driven insights. AI-powered reputation management software helps you provide scalable and high-value services while ensuring SMBs maintain a strong online reputation.
1. Adopt AI-Powered Reputation Management Tools
Manual reputation management is no longer enough to keep up with customer expectations and online activity. AI-driven solutions streamline operations and improve efficiency at scale. Manual methods fall short, making reputation management tools essential for tracking and managing reviews at scale.
- Automate Review Monitoring and Responses: AI handles review monitoring, sentiment analysis, and response generation, saving time and reducing manual effort.
- Track Reviews Across Platforms: Businesses need AI-powered tools that monitor reviews on Google, Yelp, Facebook, and other major platforms in one place.v
- Support Multi-Location Growth: Agencies should choose AI reputation management software built to support multi-location businesses and scale as their client base grows.
2. Implement AI-Driven Review Response Strategies
AI can optimize customer engagement by ensuring businesses respond to reviews in a timely and consistent manner.
- Maintain Brand Voice: AI-generated responses match each SMB’s tone, creating personalized customer interactions.
- Balance Consistency and Customization: AI standardizes replies while allowing flexibility based on customer sentiment.
- Leverage Social Listening: AI-powered tools monitor social media mentions in real-time, helping businesses stay proactive.
3. Proactively Monitor Brand Sentiment with AI Analytics
AI enables you to detect and address reputation risks before they escalate.
- Use Predictive Analytics: Identify shifts in sentiment and address negative trends early.
- Receive Alerts: AI flags negative sentiment spikes and patterns in low-star reviews.
- Analyze Unstructured Data: AI-driven insights help SMBs improve offerings by extracting valuable feedback from reviews.
4. Automate Review Requests to Build a Stronger Reputation
AI increases online reputation by optimizing review collection strategies.
- Optimize Review Collection: AI finds the right moments to request reviews, such as after positive customer interactions.
- Diversify Review Sources: Encourage reviews across platforms like Google, Yelp, and Facebook to strengthen reputation.
- Personalize Outreach: AI customizes review request emails and SMS campaigns based on customer history and behavior.
34% of customers leave reviews after a positive experience, while 33% share both good and bad experiences. This shows why timing review requests and using AI to trigger them at the right moment is essential.
5. Integrate AI Reputation Management with Other Marketing and Customer Engagement Tools
AI-powered reputation management tools work best when integrated with existing marketing and customer engagement strategies.
- SEO and local search optimization: Positive reviews improve SEO rankings, and AI can track their impact.
- CRM and marketing automation: AI-powered reputation insights inform email marketing and retention campaigns.
- Extend Engagement with AI Chatbots: Integrate AI-powered chatbots and sentiment analysis to engage customers beyond reviews and improve the overall experience.
94% of business leaders say leveraging social media insights strengthens brand reputation and loyalty. AI-driven social listening helps agencies tap into this valuable data to boost engagement and trust.
6. Educate Clients on AI Reputation Management Best Practices
Agencies must help SMB clients understand the value of AI-powered reputation management software.
- Position AI as a Support Tool: Help SMB clients see AI-powered reputation management as a way to enhance human decision-making, not replace it.
- Showcase Measurable Impact: Share AI-driven reputation reports highlighting improvements in trust, SEO rankings, and customer acquisition.
- Provide Training and Insights: Guide clients on using AI tools effectively to build a stronger, more credible online reputation and maintain consistent engagement.
By adopting AI-driven reputation management tools, you can future-proof your services, automate key tasks, and deliver better results for your SMB clients.
AI Reputation Management Best Practices
To maximize the benefits of AI reputation management, agencies need to ensure AI-driven tools maintain authenticity, provide real-time insights, and enhance customer engagement. These best practices help agencies scale services while delivering online reputation improvements for SMB clients.
Automate Review Responses While Maintaining Authenticity
AI can streamline review monitoring and responses, but agencies must ensure messaging aligns with each client’s brand.
- AI-generated responses should match the SMB’s brand voice rather than sounding robotic or overly automated.
- AI-driven reputation management software can personalize replies while keeping them professional and engaging.
- AI tools should balance automation with human oversight to ensure online reputation management remains authentic.
Set Up Real-Time Alerts to Ensure Clients Never Miss an Important Review
Agencies must help SMBs respond to critical reviews quickly by leveraging AI reputation management tools.
- AI-powered social listening can detect negative sentiment early and notify businesses.
- AI triggers can send alerts based on specific keywords, low ratings, or sentiment trends.
- AI aggregates reviews from Google, Yelp, Facebook, and industry-specific sites, offering a comprehensive reputation snapshot.
Provide Clients with AI-Generated Reputation Reports to Showcase Progress
AI-powered reputation management tools provide data-driven insights that demonstrate the impact of reputation management efforts. Use AI reporting to generate clear, data-driven insights that help clients see their progress and ROI.
- AI-generated reports track review trends, response rates, and customer sentiment shifts.
- Reports should include before-and-after analysis, showing how AI-powered management improves SEO rankings and engagement.
- AI predictive analytics can assess unstructured data, identifying reputation risks before they escalate.
Reputation can make or break a local business—and knowing how to manage it is half the battle.
Educate SMB Clients on How AI-Driven Insights Improve Customer Experience
Agencies should position AI reputation management software as a tool that enhances decision-making rather than replacing human input.
- AI insights help SMBs refine customer service, product offerings, and engagement strategies.
- AI-driven reports show businesses when and how to request reviews for maximum impact.
- AI-powered predictive analytics can identify common customer concerns, allowing SMBs to take proactive action.
Combine AI Insights with Human Strategy for a Balanced, High-Value Service
AI should support, not replace, human expertise in online reputation management.
- You should review AI machine learning insights regularly to improve reputation strategies.
- AI models should be trained with brand-specific guidelines to ensure responses align with the SMB’s brand identity and industry standards.
- AI-powered insights must be paired with human judgment to optimize reputation management effectiveness.
By following these best practices, you can use AI reputation management to deliver measurable results while maintaining authenticity and trust for your SMB clients.
How to Choose the Best AI Reputation Management Software
Not all AI reputation management tools are built for partners, multi-location brands, or AI workforce integration in mind. The right platform should strengthen your entire customer acquisition and engagement workflow—not just automate review responses.
Here’s what to look for:
1. Real-time Monitoring Across Every Channel
Your tool should track reviews, social mentions, and Q&A activity across all major platforms in seconds—not hours.
2. AI-Powered Responses That Match Brand Voice
Look for AI that adapts tone, handles context, and personalizes replies without sounding robotic.
3. Predictive Analytics and Sentiment Intelligence
A modern platform should surface patterns, root causes, and emerging risks—not just list reviews.
4. Multi-Location and Franchise Readiness
Centralized oversight plus location-level reporting is essential for partners supporting larger client portfolios.
5. White-Labeling and Partner-First Controls
Agencies, franchisors, and SaaS vendors need a tool that fits their brand—not the other way around.
6. Integration with Your CRM and Customer Engagement Tools
A great AI reputation system should feed insights into email marketing, sales workflows, web chat, and more.
7. AI Workforce Compatibility
The future belongs to AI Employees that can automate tasks end-to-end—from capturing leads to managing reviews. Choose a tool that plays well with a full AI workforce ecosystem.
When you weigh solutions against these criteria, the gap becomes clear:
Most AI ORM tools work in isolation. Vendasta integrates every stage of the customer journey.
Introducing Vendasta Reputation AI
Vendasta’s Reputation AI is designed specifically for SMBs and the partners who support them.
Unlike standalone AI reputation management tools, Reputation AI integrates monitoring, engagement, and automation into one unified platform.
What Makes Reputation AI Different?
- Real-time multi-channel monitoring
- AI-powered sentiment dashboards
- Smart response suggestions
- Automated review generation campaigns
- Negative review alerts
- Partner-SMB shared dashboards
- Multi-location scalability
Reputation AI is built to support AI reputation management services delivered by agencies, franchisors, and ISVs.
The Rise of the AI Reputation Management Agent
The future of AI in reputation management isn’t just tools; it’s AI workforce agents.
Introducing the AI Reputation Specialist:
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Continuously monitors brand sentiment
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Flags emerging risks
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Suggests optimization strategies
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Supports partners managing multiple SMB accounts
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Learns from proprietary business data
An AI reputation management agent doesn’t just suggest actions. It acts
What’s the Best Online Reputation Management Software for Agencies?
Agencies need a scalable, automated reputation management solution that delivers measurable results without increasing workload. Vendasta’s AI reputation management software is the best choice for agencies looking to provide high-value, recurring revenue services while maintaining full control over branding and client relationships.
White-Label AI Reputation Management for Seamless Client Branding
Agencies can fully customize Vendasta’s AI-powered reputation management platform as their own—offering a powerful service without building proprietary technology. You can fully customize Vendasta’s reputation management software for agencies to offer white-labeled solutions without building proprietary tools.
- Operate Under Your Brand: Provide AI-driven online reputation management software branded to your agency while Vendasta powers the backend.
- Customize Features and Reports: Tailor features, notifications, NPS tracking, and review automation to meet each client’s specific needs.
- Build Client Trust: Deliver a seamless, white-labeled reputation management solution that strengthens your agency’s credibility and keeps clients connected to your brand.
AI-Powered Review Responses That Save Time and Ensure Consistency
Managing online reputation takes consistent, timely engagement—but handling reviews at scale is challenging. Vendasta’s AI algorithms automate review responses while maintaining your client’s brand voice. By leveraging an AI employee, you can automate responses while ensuring consistent, brand-safe communication.
- Automated Responses Across Platforms: Instantly reply to reviews on Google, Facebook, Yelp, and industry-specific sites.
- Sentiment-Aware Messaging: AI adapts responses based on whether reviews are positive, neutral, or negative, ensuring appropriate engagement.
- Save Time and Focus on Strategy: Automate daily review management, freeing up time to focus on strategic growth while SMBs stay focused on running their business.
AI-Driven Review Requests to Strengthen Online Reputation
Encouraging customers to leave positive reviews is key to building a strong online presence. Vendasta’s AI-powered tools automate and optimize review requests to boost response rates. Smart review requests are part of effective AI marketing automation strategies that drive engagement and visibility.
- Automated Multi-Channel Requests: AI sends review requests through email, SMS, and in-platform prompts, reaching customers where they’re most active.
- Optimized Timing: AI identifies the best moments to request feedback, improving the chances of receiving positive reviews.
- Boost Positive Reviews: Helps SMBs gather more positive reviews while minimizing the impact of occasional negative feedback.
- New Integration: Seamlessly connects with QuickBooks, PetExec, Jobber, and other business tools to automate review collection effortlessly.
Advanced Sentiment Analysis & Competitive Benchmarking
Understanding customer sentiment trends helps agencies and SMBs improve their brand perception. Vendasta’s AI-powered reputation management tool provides deep insights for strategic decision-making.
- Proactively Detect Sentiment Shifts: AI monitors sentiment trends across all client accounts, allowing agencies to address potential issues before they escalate.
- Analyze Customer Feedback: AI uses machine learning to categorize reviews, identify patterns, and surface recurring pain points that need attention.
- New Feature – Competitive Benchmarking: Compare your client’s online reputation with industry leaders to refine strategies and stay competitive.
- Actionable Insights: AI-driven reports empower agencies to guide SMBs on improving customer satisfaction, retention, and revenue growth.
Multi-Platform Monitoring & Google Q&A Management
Staying on top of online reviews across multiple platforms is challenging. Vendasta’s reputation management tool simplifies the process by consolidating everything into one dashboard for easy monitoring.
- Centralized Review Aggregation: Pulls reviews from Google, Yelp, Facebook, TripAdvisor, and other major platforms into a single view.
- Real-Time Alerts: Notifies agencies immediately of critical reviews so they can respond quickly and protect their clients’ reputation.
- New Addition – Google Q&A Management: Agencies can now monitor and respond to customer inquiries posted in Google Q&A, helping businesses engage potential customers directly from the platform.
Scalable for Multi-Location Businesses and Franchises
Agencies managing multi-location businesses need a solution that keeps everything organized and consistent. Vendasta’s AI reputation management software provides exactly that.
- Centralized Management: Monitor and manage all locations from a single platform while maintaining brand consistency.
- Location-Specific Reporting: Access detailed reports that track performance at both local and corporate levels, giving clear visibility into each location’s reputation.
- Enterprise-Ready Tools: Supports enterprise-level reputation management with scalable features designed to grow with your clients.
Seamless Integration with Other Vendasta Tools & API Customization
Agencies can strengthen their service offerings by combining AI-powered reputation management software with Vendasta’s marketing, CRM, and automation tools. Integrating AI software into your platform helps automate tasks and improve efficiency
- CRM Integration: Sync customer interactions and reputation insights directly into CRM systems for better lead management and follow-ups.
- Data-Driven Marketing: Leverage AI-driven reputation data to enhance email marketing, customer engagement, and SEO strategies.
- New API Customization: Use Vendasta’s API to embed reputation management tools directly into your platform, delivering a seamless experience for your clients.
AI Is the Future of Reputation Management: Are You Ready?
The way agencies manage online reputation is changing. AI is no longer an option—it’s a necessity. Businesses that fail to adopt AI reputation management risk falling behind, while those that embrace it gain a competitive advantage.
With AI-powered reputation management software, agencies can:
- Scale their services effortlessly while reducing manual workload.
- Automate review monitoring and responses to improve customer engagement.
- Deliver data-driven insights that prove ROI and strengthen client relationships.
Vendasta’s AI reputation management solution enables you to provide a high-value, recurring revenue service while helping SMBs build trust, improve their SEO rankings, and drive customer acquisition.
The Next Step for Your Agency
Reputation management is evolving, AI is the future. Now is the time to integrate AI-driven reputation management tools into your agency’s offerings.
Ready to scale your reputation services with AI?
Schedule a demo with Vendasta and see how our white-label AI reputation management software can help you win more clients, automate tasks, and deliver measurable results.
AI Reputation Management FAQs
1. What is AI reputation management?
AI reputation management uses artificial intelligence to monitor, analyze, and improve a business’s online reviews and brand perception in real time. It automates sentiment analysis, review responses, and risk detection to help businesses maintain trust and increase visibility.
2. What is AI in reputation management?
AI in reputation management refers to the broader strategic use of machine learning, automation, and predictive analytics to improve brand perception. It extends beyond monitoring to include AI-driven insights, engagement optimization, and AI search visibility enhancement.
3. How is AI changing reputation management?
AI is making reputation management proactive instead of reactive. It enables real-time monitoring, automated responses, predictive sentiment forecasting, and AI-driven search optimization, dramatically reducing manual effort while improving brand trust.
4. What’s the best online reputation management software?
The best online reputation management software includes AI sentiment analysis, automated review generation, smart response drafting, and multi-location scalability. Platforms like Vendasta Reputation AI combine automation with AI workforce agents for proactive brand optimization.
5. What is an AI reputation management agent?
An AI reputation management agent is an intelligent system that not only monitors reviews but also suggests actions, detects risks, and optimizes engagement strategies. Vendasta’s AI Reputation Specialist is an example of an AI workforce agent built for SMB growth.
6. Can AI detect fake or synthetic reviews?
Yes. Advanced AI reputation management systems use pattern recognition and anomaly detection to flag suspicious review behavior, helping businesses mitigate synthetic or malicious content before it impacts trust.
7. Do small businesses need AI reputation management services?
Yes. Small businesses benefit from AI reputation management services because they often lack the time and resources for manual monitoring. AI automation ensures consistent responses, higher review volume, and improved search visibility.
8. How does AI reputation management impact AI search engines?
Generative AI search engines analyze review sentiment and brand signals when generating summaries. Strong AI-driven reputation management improves how your brand is represented in AI-generated responses and search previews.
9. How does Vendasta’s Reputation AI differ from other AI reputation management tools?
Vendasta Reputation AI integrates monitoring, automation, predictive alerts, and AI workforce agents in one unified platform. It’s built for partners managing multiple SMB accounts and uses proprietary data to drive smarter engagement.
10. Is AI reputation management better than manual review management?
Yes. AI reputation management processes data instantly, identifies trends early, automates responses, and reduces human error. Manual systems cannot scale or provide predictive insights at the same speed or accuracy.
