Overview
Ask Ad Manager by Google Ads and AgentX serve fundamentally different purposes despite both leveraging AI. Ask Ad Manager is an AI agent built with Gemini that helps publishers using Google Ad Manager gain deeper insights, troubleshoot issues, generate custom reports, and navigate the platform more efficiently. It is a conversational assistant tailored specifically for ad operations.
AgentX, on the other hand, is an AI agent evaluation and observability platform designed for developers. It provides a comprehensive framework to create test suites, run evaluations, and pinpoint issues in AI agents before they reach production. AgentX offers full traceability, multi-run testing, and CI/CD integration, acting like a reliability guardrail for AI agents.
Feature Comparison
| Feature | Ask Ad Manager | AgentX |
|---|---|---|
| Primary Purpose | AI agent for ad publishers to troubleshoot, generate reports, and navigate Google Ad Manager | AI agent evaluation and observability platform for developers to test and monitor AI agents before and after deployment |
| Target Audience | Publishers and ad operations teams using Google Ad Manager | Developers, AI engineers, and teams building and deploying AI agents |
| Core Technology | Built with Gemini, multi-turn conversational AI, personalized to publisher's own data | Multi-run, multi-step evaluation framework with AI analysis for root cause and suggested fixes |
| Key Capabilities | Real-time troubleshooting, custom report generation, platform navigation with context-aware links | Test suite creation, evaluation layers (correctness, tool reliability, reasoning, business impact), CI/CD integration, drift detection |
| Data Handling | Uses publisher's own data for personalized insights, keeps data safe and under user control | Creates test sets from unstructured data, synthesizes ground truth, continuous enrichment |
| Integration | Built into Google Ad Manager, future REST APIs and MCP server for custom agents | Integrates with development pipelines, supports multiple LLM providers, CI/CD workflows |
| Evaluation Approach | Not an evaluation tool; focuses on assisting with ad operations | Four-layer evaluation framework: task correctness, tool reliability, reasoning consistency, business impact |
| Deployment Stage | Beta launched June 2026, features rolling out throughout the year | Production-ready, designed for pre-deployment and continuous post-deployment monitoring |
Pricing
Ask Ad Manager: Ask Ad Manager is included with Google Ad Manager at no additional cost during its beta phase. Standard Google Ad Manager pricing applies based on the publisher's ad inventory and usage. There are no separate charges for the AI agent itself during beta, though future pricing may be announced as features mature.
AgentX: AgentX offers a tiered pricing model. A free tier is available for small teams or individual developers with limited evaluation runs. Paid plans start at $99 per month for advanced features such as higher evaluation limits, multi-LLM comparisons, and CI/CD integration. Enterprise plans with custom pricing are available for organizations needing dedicated support, on-premise deployment, or extensive usage.
Pros and Cons
Ask Ad Manager
Pros:
- Deep integration with Google Ad Manager ecosystem
- Conversational interface reduces manual reporting effort
- Personalized insights using publisher's own data
- Real-time troubleshooting without interrupting workflows
- No additional cost during beta
Cons:
- Limited to Google Ad Manager platform only
- Still in beta with evolving capabilities
- No evaluation or testing framework for AI agents
- Dependent on Google's AI infrastructure
AgentX
Pros:
- Comprehensive evaluation framework for AI agents
- Supports multiple LLM providers and agent types
- CI/CD integration for automated deployment gates
- Root cause analysis with suggested fixes
- Continuous monitoring and drift detection
- Multi-run and multi-step testing for non-deterministic agents
Cons:
- Steeper learning curve for non-developers
- Requires setup and configuration of test datasets
- May be overkill for simple ad management tasks
- Pricing can scale with usage for large teams
Verdict
Choose Ask Ad Manager if you are a publisher using Google Ad Manager and need an AI assistant to streamline ad operations, reporting, and troubleshooting. It is purpose-built for the ad ecosystem and offers immediate value with no additional cost during beta. Choose AgentX if you are a developer or team building and deploying AI agents and need a robust evaluation, observability, and CI/CD framework to ensure reliability and performance before and after deployment. AgentX is essential for production-grade AI agent development, while Ask Ad Manager excels in its specific domain of ad management.

