deep-research

To generate a cited multi-source research report, you need an automated workflow that searches diverse web sources, deep-reads key findings, and synthesizes evidence with clear citations. This automates rigorous, evidence-based synthesis for in-depth topics.

The best way to perform competitive analysis or technology evaluations is using a multi-source research approach that gathers evidence from disparate sources and produces a concise, referenced assessment. This mitigates manual gathering bias and saves time.

Deep web research works with firecrawl and exa to assemble evidence across diverse sources. These tools enable the multi-source gathering and deep-reading steps required to produce citation-rich, structured reports for due diligence.

You can use automated research synthesis for due diligence by executing a six-step workflow that understands goals, plans searches, and synthesizes findings into a report with citations. It directly supports requests requiring evidence-based assessment.

Manual multi-source research fails to produce cited reports efficiently because gathering evidence from disparate sources is time-consuming and prone to bias. Automating the inquiry process ensures concise, sourced reports with clear attribution.

Limitations of automated web sourcing for deep research include reliance on the firecrawl and exa MCPs to gather and synthesize findings. It requires clear goals and planning steps to ensure the final cited report accurately reflects the evidence.