Why one query, one answer fails for complex questions
You ask a complex question — about a market, a competitor, a regulation, a technology trend — and you get a single paragraph. No sources. No structure. No nuance. You end up spending hours piecing together fragments from dozens of tabs, never sure if you've missed something critical.
Traditional search gives you ten blue links. AI chatbots give you a confident-sounding paragraph that may or may not be accurate. Neither gives you what you actually need: a structured, sourced, comprehensive analysis that covers the question from every angle.
Zenfox Deep Research does what an analyst would do — but in minutes instead of hours. It decomposes your question into sub-queries, runs parallel research across the web and your connected tools, evaluates and cross-references sources, and delivers a structured report with citations you can actually trust.
Classic Search vs. Deep Research
The difference between getting links and getting answers.
How Deep Research Works
Five phases, fully automated. From question to analyst-grade report in minutes.
Decomposition
Your question is broken into specific sub-queries that cover different angles — market data, competitor moves, technical details, regulatory context.
Parallel Search
Sub-agents run simultaneous web searches, access your connected tools, and pull data from multiple sources in parallel.
Evaluation
Results are cross-referenced for accuracy, contradictions are flagged, and gaps are identified. Zenfox iterates to fill missing information.
Synthesis
Findings are organized into a coherent report structure with executive summary, detailed sections, and source citations.
Delivery
Your finished report is delivered in chat, by email, or to Slack — formatted, sourced, and ready to share with your team.