The Genezio Blog
Expert insights on AI search optimization, conversational marketing, and brand visibility in the age of AI.
Featured Articles
ChatGPT Searches Like an Analyst. Perplexity Searches Like a Shopper.
We compared ChatGPT vs. Perplexity to reveal how they prioritize sources. Optimize your AI strategy by understanding how their search behaviors diverge.
76% of Gen Z and Younger Millennials Now Trust AI Over Google
A fundamental change in how information is discovered is being driven by Gen Z and younger millennials. Our recent survey of over 100 respondents under 29 shows that 76.3% now trust answers from an AI more than from a traditional Google search.
All Articles
What are Evals in AI? Test Agents with Genezio
When a chatbot fails to understand a query, spits out outdated or biased information, or simply loops endlessly, it frustrates users, it costs companies, either because that chatbot is costing money, or because it’s earning them reputational damage. That is why evals in AI make certain that your AI agents actually work as intended and comply with your customer’s expectations.
Scenario-Based Testing: AI Agent Evals for Companies
How do you stop your agent from legal trouble like insider trading? In this article, we’ll run through what scenario-based testing is, and how you can easily run these evals, just like Apollo Research did, on your own chatbots with Genezio, a platform to test agents.
Prompt Injection Attacks: How to Avoid Them with Evals and Testing
In this article, we break down prompt injection attacks, the nr 1 security threat for AI agents. We'll show you how to leverage systematic evaluations (evals) and testing to protect your business and ensure your chatbot is secure.
How to Set Up a Chatbot: A CXO's Guide to Launching AI Agents Safely
For any CXO planning to launch a customer-facing chatbot, understanding the setup process is critical. This guide walks through the essential steps, from choosing a platform to the importance of rigorous evaluation, ensuring your AI agent is an asset, not a liability.
Continuous Testing for AI Chatbots
Instead of testing once during development and hoping for the best, you set up a system that keeps checking how the chatbot performs as users interact with it and as updates roll in.
Evals for AI Agents: Differences with QA Testing
This article will walk you through chatbot testing without developers with Genezio. Designed by cloud computing experts but built specifically for non-technical users.
Multilingual Customer Service: Cost of Multilingual Misfires in AI Customer Service
This article will explain why customer support across languages is a necessity and how you can solve this problem through an AI testing tool made by multilingual engineers like Genezio.
Agent Evaluation: A Framework for Businesses
In this article, we break down the main takeaways from the whitepaper and discuss how Genezio puts together the tools and support needed to carry out agent evaluations in real-world business scenarios.
AI Chatbot Testing: Testing WhatsApp, Voice, & Chatbots in One Place
In this article, we’ll explain why you should do simultaneous AI chatbot testing with tools such as Genezio before entrusting customer service to a gen AI.
Chatbot Testing Without Developers
This article will walk you through chatbot testing without developers with Genezio. Designed by cloud computing experts but built specifically for non-technical users.
5 Best AI Agents in 2025 (and How to Keep Them Reliable)
In this article, we'll take a look at the 5 best AI agents for 2025 and discuss why testing them is necessary to protect customer trust and satisfaction.
What are the Benefits of Using AI in Customer Service?
In this article, we’ll look at what those benefits are, what can go wrong, and how testing and monitoring with tools like Genezio can help Customer Care Experts trust their AI.
The Best AI Agent Ideas for your Business
In this article, we'll look at some of the best AI agent ideas for your business and explain how the right AI testing solution can prevent failures and keep your AI agents reliable.
Quality Monitoring Software: How To Make Sure AI Agents Benefit Support and Customers
In this article, we’ll look at how quality monitoring software, like Genezio, helps businesses keep their AI agents on the right track, and make sure they benefit both customers and support teams.
Top 3 AI Monitoring Tools in 2025 for Customer Care & Compliance
In this article, we’ll look at three of the best AI monitoring tools in 2025 - what they do, who they’re built for, and how they help teams keep their AI agents on track.
AI Agent Security: Best Ways to Secure your AI Agent
AI agents can help support teams move faster, but small mistakes can carry big risks. Genezio lets businesses and Customer Care Executives test AI agents for accuracy, compliance, and behavior in real-world scenarios.
How Genezio Solves AI Hallucination in Customer Service
As a Customer Care Expert, you know how important it is to keep a high standard of customer service. AI hallucination in customer service can seriously hurt the experience you’ve worked hard to build. That’s why it helps to have the right tools in place before things go off track.
How Can I Test the Effectiveness of My AI Agent?
Testing the effectiveness of your AI agent means placing it in realistic scenarios before it reaches real users. Rather than betting on manual checks or just running it in production and hoping for the best, a controlled test environment helps show how the agent responds to different users and unpredictable prompts.
How To Test AI Agent Performance (Behavior and Accuracy)
AI agents can help support teams move faster, but small mistakes can carry big risks. Genezio lets businesses and Customer Care Executives test AI agents for accuracy, compliance, and behavior in real-world scenarios.
Why Manual User Acceptance Testing, or UAT, Slows Down Chatbot Launches
Manual user acceptance testing (UAT) is a step in software development in which actual users test software in real-life situations to make sure it works for what they need to do.
LLM Anomaly Detection: How to Keep AI Responses on Track
Large language models (LLMs) don’t always behave the way you expect. They can go off-topic, return inaccurate data, or overlook important instructions. Genezio’s focus on LLM anomaly detection helps businesses test and monitor AI agents and catch (and address!) those harmful behaviors before they happen with clients.
LLM Hallucination Detection for AI Agents in Customer Service
AI agents are great at automating tasks, but they’re not always accurate. LLM hallucination detection helps Customer Care Executives test and monitor AI-generated responses to catch errors before they cause real problems.
The AI Agent Evolution in Customer Experience: From Simple Chatbots to Intelligent Autonomous Systems
This article explores the evolution of AI agents in customer experience, from their humble beginnings to the current state of the art, and provides insights into how businesses can effectively test, implement, and optimize these systems to gain a competitive edge.
AI Third-Party Testing: Why Independent Testing Matters for AI Agents
According to Anthropic, one of the biggest challenges in AI today is the need for independent testing. As the Anthropic team explained in a 2024 write-up, AI agents are being deployed in high-stakes environments.
Retrieval-Augmented Generation (RAG) Is Fixing LLMs—But Is It Enough?
This comprehensive guide explores how RAG is transforming the capabilities of language models, its implementation, limitations, and whether it truly solves the fundamental problems faced by modern AI systems.
The Best AI Agent Tools for Building and Deploying Autonomous AI Systems
AI agent tools make possible the creation of autonomous AI agents—software entities that can and act on their own and undertake some step-by-step tasks, like researching for a paper. The AI agent market, which is estimated at $5.4 billion in 2024, is being pushed by use cases such as self-service customer experiences, or even crypto trading agents
AI Agent Examples: What Are They, and How Do They Work?
What was once a futuristic concept—AIs making real decisions and automating complex tasks independently—is now our reality. “AI agents” is the latest buzzword you may have seen floating around 𝕏 and such, and while many people swear they have the most advanced AI agents, a lot of them either are a downright sham. But the AI agents market is, in fact, developing rapidly, with a projection to grow from USD 5.1 billion in 2024 to USD 47.1 billion by 2030.
Common AI Agent Mistakes: How Intelligent Agents Fail and What You Can Do
The adoption of large language models (LLMs) for customer support has revolutionized the way users interact with companies. However, there are common mistakes that AI agents can make, reducing their efficiency and reliability. Here are some frequently encountered errors
AI Agents 101: Understanding Their Role and Functionality
In today's rapidly evolving technological landscape, artificial intelligence and intelligent agents have moved from science fiction to practical business tools. Whether you're a developer looking to integrate AI capabilities into your applications or a business owner seeking to leverage automation for competitive advantage, understanding AI agents is becoming increasingly critical.