Deep research

Documentation Index

Fetch the complete documentation index at: https://sourcetable.com/docs/llms.txt

Use this file to discover all available pages before exploring further.

Deep research goes beyond a simple web search. When you need comprehensive information synthesized from multiple sources, the AI browses the web, reads multiple pages, cross-references findings, and delivers a structured summary — all directly in your spreadsheet.

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How it works

The AI uses the deep_research tool to:

1. Break your research question into sub-queries
2. Search multiple sources across the web
3. Read and extract relevant information from each source
4. Cross-reference and validate findings
5. Compile results into a structured format in your spreadsheet

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Example prompts

Market research:

• “Research the electric vehicle market — key players, market size, growth projections, and recent trends”
• “Compile a competitive analysis of the top 5 project management tools with features, pricing, pros, and cons”
• “Research the SaaS pricing landscape for AI writing tools”

Company research:

• “Research Stripe’s product offerings, pricing model, and recent acquisitions”
• “Find information about Series A funding rounds in fintech for Q1 2024”
• “Compile a list of the top 20 YC companies from the last 3 batches with descriptions and funding”

Industry analysis:

• “What are the key regulations affecting cryptocurrency exchanges in the EU?”
• “Research supply chain trends in semiconductor manufacturing”
• “Summarize the current state of AI regulation globally”

Technical research:

• “Research best practices for building real-time data pipelines with Kafka”
• “Compare PostgreSQL vs. MySQL vs. Snowflake for analytics workloads”
• “What are the most popular Python libraries for time series forecasting?”

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Output formats

The AI delivers research results in whatever format makes sense:

• Structured tables — comparisons, feature matrices, company lists
• Written summaries — executive briefings, market overviews
• Data-ready formats — columns and rows you can immediately chart, filter, or analyze further
• Cited sources — links to the original sources it referenced

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Deep research vs. web search

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Use cases

• Analysts — competitive intelligence, market sizing, trend analysis
• Sales — prospect research, industry background before calls
• Marketing — content research, competitor messaging analysis
• Finance — company due diligence, industry risk factors
• Operations — vendor evaluation, technology comparison
• Founders — market validation, investor landscape research