Meet the 2 Birdeye AI Review Agents built to gain more reviews and respond without delay

The way customers choose businesses has changed, and the proof is in the data. According to Birdeye’s State of Online Reviews 2025, online reviews grew by 13% in 2024, meaning more people are sharing their experiences than ever before and using public opinion to guide their purchasing decisions. 

For businesses, this growth presents a major challenge: every review demands a quick, personal, and on-brand response. This is especially true for multi-location brands, where a slow or robotic reply can quickly erode trust and cost you potential business across all locations.

But what if you could put this vital, time-consuming task on autopilot? Birdeye’s AI Review AIgents are the answer. With these powerful, purpose-built tools, the Review Generation Agent and the Review Response Agent, you can automatically request more reviews and respond to them quickly, personally, and consistently. 

In this blog, we’ll explore how these AI agents work together to make generating and responding to reviews an effortless part of your daily operations.

Reputation management in the time of AI search

As AI-driven tools like ChatGPT, Google’s AI Overviews, and Perplexity reshape how people search, the traditional rules of reputation management are fundamentally changing. Users are increasingly receiving answers directly, without needing to click through to websites. This shift in search behavior directly alters how customer reviews influence brand visibility and perception. 

To stay top-of-mind—and front-of-feed—businesses must rethink how their reputation shows up everywhere, from Google search results to AI‑generated summaries and chatbot responses. If your reviews are outdated, unbalanced across platforms, or left unanswered, those inconsistencies can be reflected in the answers customers see first, directly shaping their perception before they even visit your website.

Reputation isn’t just what you say, it’s what AI shows

Three reputational signals carry the most weight:

• Freshness: Businesses with a steady flow of new reviews appear more relevant and trustworthy. Stale feedback, even if positive, can suggest inactivity.
  
• Consistency: When reviews are distributed across multiple platforms, they provide the kind of corroboration AI systems rely on to build accurate, confident answers.
  
• Responsiveness: A review without a reply is unfinished. Quick, empathetic responses not only reassure the customer but also signal to AI engines that your business is engaged and reliable.

The challenge is keeping up with this new standard. 

In fact, Birdeye’s State of Online Reviews 2025 revealed that review volume grew 13% in 2024, and customer expectations climbed alongside it, with 73% of reviews received a review response last year, up from 63% in 2023. Together, these trends have raised the bar: it's no longer enough just to collect reviews. 

What’s needed is a smarter approach; one that ensures reviews stay fresh, balanced across platforms, and answered with speed and empathy. 

Birdeye’s AI review agents are designed for this exact moment: one is built to bring in more reviews where they matter most, and the other to respond without delay. Together, they ensure your reputation stays strong in the era of AI search. Let’s dive deeper into how they work.

Meet Birdeye’s two AI review agents for a complete reputation strategy

Birdeye’s AI review agents are built to take the complexity out of review management and turn it into a streamlined, results-driven process. Each agent has a distinct role, but they are designed to work together, creating a complete loop from requesting reviews to responding to them.

The Review Generation Agent focuses on getting more reviews where they matter most. It chooses the best channel, whether email or SMS, determines the optimal time to send, and personalizes the message to reflect your brand’s voice. 

It even recommends and sends follow-up reminders to customers who need a nudge without becoming spammy.

The Review Response Agent ensures that every review gets an on-brand, timely reply. It analyzes the sentiment, context, and any images attached to the review before generating a response. 

For sensitive feedback, it flags the review for human review, so your team can step in when a personal touch is needed.

Together, these AI-powered review agents create a powerful review management system. The Review Generation Agent drives volume and visibility, while the Review Response Agent protects and strengthens your enterprise’s reputation with consistent, thoughtful engagement.

What makes these agents different from automation

Most businesses already use some form of automation, but these often feel rigid and reactive. They might send a pre-scheduled reminder or post a generic reply without truly adapting to the real-time context. 

Birdeye’s agents work differently. They’re built on an intelligent framework that mirrors how an actual teammate would think and act, moving from objective to action:

• Goals: Each agent is designed with clear outcomes in mind, like increasing review volume, keeping responses timely, or balancing activity across platforms.
  
• Triggers: Agents activate automatically when certain conditions occur, eliminating the need for manual scheduling. A service wraps up, a new review is posted, or a platform has gone quiet for too long; that’s when the agent steps in.
  
• Tasks: Once triggered, the agent gets to work. It might send a personalized review request, draft a thoughtful reply, or flag sensitive feedback before it’s published.
  
• Outcomes: The result isn’t just action for the sake of it. The agents are measured by the business impact they create: higher star ratings, fresher reviews, better visibility in search, and stronger customer trust.

This framework means the agents don’t just automate a step. Powered by BirdAI, it continuously monitors, decides, and acts, keeping your review strategy moving without constant oversight.

With the big picture in place, it’s time to look at each agent individually. We’ll start with the Review Generation Agent, your built-in engine for getting more customers to share their experiences on the platforms that matter most, without adding extra work for your team.

Review Generation Agent: Getting more reviews the right way

The Review Generation Agent is designed to solve one of the biggest challenges in reputation management: getting more customers to actually leave a review. Even satisfied customers often need the right nudge at the right time, and this agent automates that process so it happens consistently and effectively.

Here’s how it plays out:

• The goal – Make sure your business is consistently collecting fresh, authentic reviews across the platforms that matter most, not just Google.
  
• The trigger – The moment a service is completed, or a new customer record is added, the agent activates. If it notices that a platform hasn’t had a new review in a while, that’s another signal to act.
  
• The task – Instead of blasting generic requests, it decides the best channel (SMS, email), crafts the message in your brand’s tone, and sends it at the right time. If the customer doesn’t respond, it sends a polite reminder — never spammy.
  
• The outcome – Over time, you see a steady rise in review volume, not just on Google but on secondary platforms like Facebook or industry-relevant review sites. This balance helps improve your visibility in local review search performance and strengthens credibility with new customers.

But you might wonder, how does the agent know the right moment to step in without overwhelming customers or sounding repetitive?

How the Review Generation Agent knows when to act

The smartest part of the Review Generation Agent isn’t just the messages it sends, but it’s knowing exactly when to send them. Instead of relying on manual scheduling, it operates based on real-world triggers that ensure requests feel timely and natural.

After a customer interaction finishes

When a service is marked complete or a purchase is closed, the agent automatically sends a review request. It uses context, like service type or location, to tailor the message so it feels personal.

When a new customer record is created

The agent can be configured to watch your CRM or POS system. As soon as a new contact is added, it sets the clock for a review request at the right moment, whether that’s immediately or after a set delay.

If a review platform has gone quiet

Visibility dips when one platform hasn’t seen fresh reviews in a while. The agent tracks recency across Google, Facebook, Yelp, and others. If it detects inactivity, it redirects requests to that platform until the balance is restored.

When review volume falls below the target

Businesses can set thresholds, like “we want at least 20 new reviews per month.” If volume drops under that line, the agent automatically increases the number of requests it sends until the target is met.

These triggers mean the Review Generation Agent doesn’t just wait for instructions; it actively monitors your review footprint and steps in when needed. That’s what makes it feel less like a tool and more like a teammate who’s always paying attention.

What the Review Generation Agent does once it’s triggered

Once the Review Generation Agent is activated, it doesn’t just fire off a generic template. Each task is designed to maximize response rates while keeping the experience effortless for both your team and your customers.

Audits your review footprint

Before sending anything, the agent checks which platforms are lacking fresh reviews, which ones are performing well, and where gaps in visibility exist.

Chooses the right channel for each customer

Based on past engagement patterns, it decides whether to send requests via SMS, email, or both. This ensures that customers actually see and act on the request.

Craft the message in your brand’s tone

Using AI-powered templates, it generates personalized requests that sound authentic, not robotic. You can adjust the style to match your brand voice.

Optimizes timing automatically

It studies customer behavior patterns, like when they’re most likely to open texts or emails, and schedules requests for those moments.

Follows up without spamming

If the first message goes unanswered, the agent sends a friendly reminder at the right interval, balancing persistence with respect for the customer’s attention.

Review Response Agent: Addressing feedback the moment it arrives

Every review is an open conversation with your customers, and how you respond can shape public perception just as much as the review itself.

Whether it’s a glowing compliment or a difficult critique, the Review Response Agent makes sure every piece of feedback is acknowledged quickly, personally, and in a way that reinforces your brand.

Here’s how it plays out:

• The goal: Make sure every review receives a timely, authentic response that reinforces trust, strengthens customer relationships, and boosts local SEO.
  
• The trigger: The moment a new review is posted on Google, Facebook, Yelp, or any connected platform, the agent steps in instantly. It also applies filters like sentiment or location rules, so specific branches can follow tailored workflows.
  
• The task: The agent reads the review in full, analyzes the review’s tone (positive, neutral, or negative), and crafts a thoughtful, brand-aligned response. For simple cases, it can post right away; for sensitive reviews, it flags them for human approval before publishing.
  
• The outcome: Every customer feels heard, every location stays consistent, and response times drop dramatically, often from days to minutes. By showing genuine empathy, the agent helps you build rapport with customers and turn feedback into stronger relationships.

Review Response Agent knows what to do

The smartest part of this agent isn’t just replying quickly; it’s replying well. Instead of pushing out generic templates, it understands what’s happening in real-time, so every response feels timely and relevant.

When a new review comes in

The agent monitors all connected platforms in real time. The moment a new review is posted, it writes a reply right away, ensuring no delay in acknowledging the customer.

When sentiment signals a risk

Low-star reviews or negative keywords trigger a different workflow: the agent drafts with extra empathy and can flag the review for human review, so your team can step in with a personal touch.

When multiple locations are involved

Each location can have its own tailored settings. For example, high-revenue stores may require a different tone or approval process, while underperforming regions may prioritize faster, proactive replies.

These smart triggers make sure responses are not just fast, but always context-aware. That’s what makes the agent feel less like a bot and more like a reliable teammate watching your reputation around the clock.

What the Review Response Agent does once it’s triggered

Once activated, the agent performs a series of tasks designed to maximize impact while keeping effort low for your team:

• Analyzes the review content: Reads the full text, star rating, and any attached images to understand context.
  
• Applies your brand voice: Inserts preferred tone, phrases, and style so every response feels authentically “you.”
  
• Drafts an empathetic reply: Tailors language to match the sentiment; celebratory for praise, apologetic for complaints, professional for neutral feedback.
  
• Surfaces for approval: Sensitive or escalated cases are routed to your team for final sign-off.
  
• Posts consistently across platforms: Ensures every review gets the same level of attention, whether it’s on Google, Facebook, or niche business listing sites.

This workflow ensures that responses are handled with speed and care, eliminating the need for endless manual effort from your team.

How AI review agents give multi-location businesses an edge

Managing reviews across multiple locations can feel impossible without the right tools. Birdeye’s Review Generation Agent and Review Response Agent are built with multi-location operations in mind, ensuring consistency, compliance, and quality.

For these brands, these agents aren’t just convenient, they’re transformative. They provide consistency without rigidity, flexibility without chaos, and visibility without an extra workload.

Here’s what makes them especially valuable for multi-location brands:

• Consistent brand voice across all locations.
• Configure agents differently for each location to reflect local audience preferences.
• Monitor performance, volume, and response quality from a single dashboard.
• Better local SEO management that boosts visibility in searches. 
• Automating review requests and responses frees teams to focus on in-person customer experience.

The result is a reputation strategy that runs on autopilot by generating the proof customers look for and responding in the moments that matter most. It’s not just review management anymore; it’s reputation management built for the era of AI search.

FAQs about Review Response & Generation Agent 

The AI review agents are ready to boost reviews and win customers, are you?

Reviews are where customers share their real stories about your business, and how you handle those moments can shape what happens next. 

Birdeye’s Review Generation and Review Response Agent work together to make sure those stories are seen, appreciated, and acted on. 

One brings in a steady flow of fresh, high-quality reviews, while the other ensures every piece of feedback gets the quick, on-brand reply it deserves.

The tools are ready. The results speak for themselves. The only question is: are you ready to put them to work for your business?