research-to-notion

Automating topic research and publishing to Notion is done by classifying the subject, loading a template, collecting inline images, and generating a page through a dual MCP integration workflow.

Structuring competitive analysis or trend discovery in Notion is handled by automatic topic-type classification that maps the subject to a predefined template, designing the required sections for the report.

Extracting images and diagrams from URLs to insert inline within a Notion page is supported during the research phase, collecting relevant visual assets and mapping them directly into the generated content sections.

Setting up the Notion publishing workflow for automated research pipelines requires configuring a dual MCP integration, which manages the page creation and validation phases from topic input to final output.

Automated research for product analysis and AI technology discovery is supported by the system's ability to classify various topic types and apply corresponding templates to structure the gathered information into Notion pages.