Deep Tab Research with rtrvr.ai
Deep Tab Research is a groundbreaking feature in rtrvr.ai that allows you to conduct in-depth research using your own local tabs as starting points. Unlike traditional AI research tools such as Google Deep Research or Perplexity AI, rtrvr.ai can leverage login walled sites, private network sites, and local files, providing unparalleled flexibility and depth in your research process.
Core Concepts
Here are the key concepts for using Deep Tab Research:
- →Local Tab Integration: Use your own open tabs, including those behind login walls or containing private information, as the basis for your research.
- →Natural Language Queries: Provide research queries in natural language, such as "Analyze these companies by strategy, features, pricing, key differentiators".
- →Active Research: rtrvr.ai not only extracts information from your selected tabs but also actively takes actions on them to further research and answer your query.
- →Structured Output: Receive your research findings in a well-organized Google Sheet, with a table comparing your research topics against your desired fields.
How to Use Deep Tab Research
To use Deep Tab Research, follow these steps:
- Select Relevant Tabs: Open and select the tabs [on Across Tabs Panel] you want to use as your research starting points in your browser.
- Provide a Research Query: In the rtrvr.ai interface, input your research query in natural language, specifying the topics and fields you want to analyze. Then, click "Research".
- Select Tabs: Choose the tabs you want rtrvr.ai to use for the research.
- Initiate Research: rtrvr.ai will extract information from the selected tabs, perform further actions as needed, and compile the findings.
- Review Output Sheet: Access the generated Google Sheet containing the structured research results.
Example Use Cases
- →Competitive Analysis:
Open tabs for various competitor websites, including those requiring login. Use a query like "Analyze these companies by strategy, features, pricing, key differentiators" to generate a comprehensive comparison in a Google Sheet.
- →Cloud Provider Comparison:
Open tabs for different cloud providers' service pages. Use a query like "Analyze these cloud companies by their offerings, unique features, available locations" to get a detailed comparison sheet.
- →Market Research:
Gather information from various sources, including subscription-based reports or internal company documents open in your tabs. Use a relevant query to synthesize the data into a structured research report.
Example Output Table
Here is an example Google Sheet output comparing web automation companies generated using Deep Tab Research:
Tips for Using Deep Tab Research
- →Be Specific in Your Queries: The more specific your research query, the more accurate and relevant the results will be.
- →Select Tabs Carefully: Choose tabs that are most relevant to your research topic to ensure high-quality results.
- →Review and Refine: Review the generated sheet and refine your query or tab selection if needed to improve the results.