Amplitude
Amplitude AI is a comprehensive suite of AI-powered features designed to enhance every aspect of building products. With Amplitude AI, user...
Last verified:
What is Amplitude?
Amplitude AI is an AI-native analytics platform that helps teams analyze product and customer behavior faster with AI Agents, an MCP server, AI Feedback, AI Visibility, and AI Governance. It is designed to turn raw usage and customer input into answers, recommendations, and actions across the product lifecycle.
The AI Agents experience lets users ask questions in natural language and automate complex analytics work such as investigating root causes, building dashboards, flagging problems, recommending actions, and keeping teams informed through Slack. Amplitude says these agents can also design and run web experiments, optimize conversion, reduce cart abandonment, and boost feature adoption.
The MCP Server extends Amplitude context into external AI tools such as Claude, Cursor, and GitHub, so teams can query behavioral data wherever they work. AI Feedback turns reviews, surveys, and comments into prioritized product insights, while AI Visibility tracks how a brand appears across LLM search tools.
The platform is aimed at product, growth, engineering, marketing, and customer-facing teams that already rely on behavior data and want faster analysis, safer automation, and broader access to insights. Amplitude also emphasizes governance and control, including permissions, throttles, and the ability to review recommendations before customer-facing actions happen.
Amplitude pricing
Pricing model: Freemium
The page does not publish specific pricing, free tier details, or plan-by-plan pricing for Amplitude AI. It says AI Agents will be part of the core Amplitude platform, with additional capabilities available through other products, and that packaging details will be shared later at GA. The page also indicates that AI Feedback and other AI capabilities exist within the broader Amplitude platform, but it does not list public pricing, included seats, usage limits, or free-trial terms.
Amplitude pros
- Natural-language product analytics
- Automates complex analyses
- Finds root causes quickly
- Builds dashboards automatically
- Flags metric problems
- Recommends actions from data
- Can run web experiments
- Supports conversion optimization
- Helps reduce cart abandonment
- Improves feature adoption
- Sends insights through Slack
- Works as an extension of the team
- MCP server connects to external AI tools
- Brings behavioral context into Claude
- Supports AI Feedback from multiple channels
- Tracks brand visibility in LLM search
- Includes AI governance controls
- Lets teams review before acting
- Can define autonomy limits
- Built on Amplitude product data
Amplitude cons
- Pricing is not shown on the page
- Some capability details are still high-level
- Agent instructions require setup and tuning
- Best value depends on existing Amplitude usage
- Customer-facing actions need approval by default
- Not all integrations are available yet
- Packaging is still tied to GA rollout
- Some features may be beta-limited
- External protocol support is not fully open yet
- Effectiveness depends on data completeness
- Requires using Amplitude’s ecosystem
- Advanced governance may add configuration overhead
- MCP breadth is still evolving
- Multi-language support is only planned
- AI outputs still need human review
Frequently asked questions about Amplitude
What does Amplitude AI Agents do?
Amplitude AI Agents are designed to automate analytics work across the product lifecycle. According to the site, they can execute complex analyses, investigate root causes, build dashboards, flag problems, recommend actions, and keep teams informed through Slack. They also support tasks like optimizing website conversion, reducing cart abandonment, improving product conversion, and boosting feature adoption.
How do Amplitude Agents make decisions?
Amplitude says Agents synthesize data from different parts of an Amplitude account and use that context to identify patterns and opportunities. The site says you define a goal for the Agent, such as improving conversion or boosting adoption, and the Agent then recommends actions based on the data. Before taking customer-facing action like running experiments or surveys, the Agent shares its recommendation and asks for permission.
Can I control what an Agent is allowed to do?
Yes. The site says you can define conditions for an Agent to ship updates on its own, including allowing certain types of changes, specifying user groups, and setting throttles. This makes the Agent more flexible while still keeping control with the team. Amplitude also describes the platform as AI built on trust and security.
What is the MCP Server used for?
The MCP Server brings Amplitude behavioral context into external AI tools. The page says it works with tools like Claude, Cursor, GitHub, and more, so teams can query and use product data outside the Amplitude interface. This is positioned as a way to analyze anywhere you work while keeping the context of your customer behavior data.
What is AI Feedback in Amplitude?
AI Feedback is Amplitude’s feature for understanding customer comments at scale. The site says it analyzes feedback across channels to help teams find and fix bugs, generate product ideas, and turn noise into next steps. It is presented as a way to convert raw customer input into actionable insights.
What does AI Visibility track?
AI Visibility helps teams understand how their brand is showing up across LLM search tools. Amplitude frames it as a way to track brand performance in AI-driven discovery environments and win with a new generation of AI-savvy customers. The page is focused on visibility and measurement rather than a broader marketing suite.
Who is Amplitude AI for?
Amplitude AI is aimed at teams that want faster access to product and customer insights, especially product, growth, engineering, and other cross-functional teams. The site emphasizes that it is designed for everyone and uses a natural-language interface so team members across skill levels can interact with it. It is especially relevant for organizations already using Amplitude to analyze user behavior.
Does Amplitude train models on customer data?
No. The site explicitly says Amplitude does not train AI models on customer data for Amplitude AI Agents. It also says each Agent builds memory from a customer’s own database, and that this knowledge stays separate and secure for each customer.
What models and systems power Amplitude AI Agents?
Amplitude says it uses a combination of models from OpenAI and AWS Bedrock. The company also says it has built specialized tools and sub-agents for different parts of the work, including analysis, experiments, and guides. Most orchestration, memory, and session management is handled by Amplitude’s backend.
Is Amplitude AI fully launched and priced publicly?
The page does not provide public pricing details or a complete packaging breakdown. It says AI Agents will be part of the core Amplitude platform, with additional capabilities unlocked through other products, and that more specifics will be shared later at GA. The page also suggests the product is still evolving, with some features and integrations not yet fully available.