Deep search and site scraping
Uses deep search and professional website scraping to gather higher-quality information for research tasks.
AutoGLM is a research and reporting assistant for gathering information, creating structured reports, and generating PPT or webpage outputs.
AutoGLM is a research and reporting assistant built to help users gather information, organize it into a structured report, and turn that work into presentation-ready or web-ready outputs. The site describes it as a “super report assistant” and highlights deep search, professional website scraping, and automated report generation as its core workflow.
The homepage also shows adjacent tools and modes such as AI PPT, AI Webpage, Video Summary, Image Editing, AI Podcast, and agent web operation. Together, those labels suggest a product aimed at people who need to move from research collection to formatted deliverables with less manual assembly.
Uses deep search and professional website scraping to gather higher-quality information for research tasks.
Automatically turns gathered material into structured research reports instead of leaving the user with raw notes.
Can output work as PPT and web pages, which helps move from research to presentation or publishable formats.
Includes agent-style web operation capabilities for tasks that require interacting with pages rather than only reading them.
Supports video summary and code execution workflows, extending beyond text-only research.
Shows options for a local OpenClaw application and cloud machine usage on the homepage interface.
Use AutoGLM when you need to collect sources, synthesize the findings, and produce a report that is already organized into a presentable structure.
Use the PPT output path when a research task needs to become a slide deck without manually rebuilding the content in presentation software.
Use the webpage output path when the final deliverable is meant to be published or shared as a web page rather than a document.
Use the agent web operation mode for tasks that require interacting with websites as part of the workflow, not just extracting information from them.
Use the video summary and code execution capabilities when the research process extends beyond articles and documents into media review or lightweight analysis.
AutoGLM is positioned as a super report assistant that can turn research inputs into structured research reports, and also generate PPT and web page outputs from that work.
The source shows outputs and capabilities such as AI PPT, AI Webpage, Video Summary, Image Editing, and AI Podcast, but it does not provide a full public product specification for every workflow.
The homepage mentions an OpenClaw local application that can be installed locally, and a cloud machine state area, but the source does not clearly document the full deployment model or supported environments.
The public page text does not list pricing details, and the pricing URL currently returns a 404 page in the collected source.
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