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Rover is an AI agent that lives inside your website and takes real actions for users. It automates complex workflows like checkout processes, form filling, and user onboarding through natural language conversation.
Rover is an embedded web agent that runs directly on your live website, enabling both human users and AI agents to ask it to complete tasks such as checkout, onboarding, and support directly within the site's interface. It acts in the page, stays scoped to your site, and closes the loop by executing actions rather than just providing answers.
When users face complicated processes like onboarding, billing, or account settings, they often churn or file support tickets because traditional support links and chatbots cannot finish tasks. Rover solves this by giving users an agent that can navigate the UI and complete actions with them, reducing friction and increasing conversion rates.
Rover reads the DOM to see the page exactly as the browser does, ensuring precision and up-to-date interaction with the live interface. This DOM-native approach allows it to understand and act on the actual structure of the website, avoiding the stale knowledge and scope leaks common with RAG chatbots.
It plans minimal actions by determining the shortest safe path to accomplish a task, involving clicks, inputs, and navigation. This efficiency ensures tasks are completed quickly without unnecessary steps, enhancing user experience and task completion rates.
Execution is sub-second because Rover operates natively in the browser without relying on slow screenshot loops or remote virtual machines. This results in fast, responsive interactions that feel seamless to users, outperforming vision-based agents that guess pixels and have high latency.
Rover works by leveraging the DOM to create a semantic tree of the page, then acting upon it with native browser speed. This unique methodology sits between talk-only chatbots and slow screenshot agents, providing a robust solution that works anywhere there is HTML, including websites, Chrome extensions, Electron apps, and internal tools.
Benefits include faster user activation, reduced drop-offs before users realize value, and higher completion rates for workflows. Users can accomplish tasks 60% faster during onboarding, and the agent adapts over time with memory and feedback, continuously improving performance and reducing friction.
Use cases include guided setup in the real UI for onboarding, handling account changes, filling forms, conducting booking demos, providing support, and completing checkout processes. Each scenario runs in the live DOM, ensuring accuracy and relevance without outdated demos or agent drift.
Publisher
A
admin
Launch Date2026-02-26
Platformweb
Pricingfreemium
Tech Stack
#Firebase#Gemini
Domain Authority
Ahrefs DR29/100