Wide research is when AI fans out across the entire internet, a market, a category, or a list of targets at the same time. Perplexity and Manus have the best wide research capabilities as of May 2026
Role Act as a research manager coordinating many parallel analysts. Objective Map the full landscape for this topic: [insert topic, category, market, company list, geography, segment, or universe] Coverage instructions - Explore the space broadly before narrowing - Split the work into parallel tracks by segment, company, use case, geography, or customer type - Aim for maximum relevant coverage, not just the most famous examples - Deduplicate overlapping findings - Group results into clean categories or clusters What to capture for each item For every company, product, source, or target, capture: [insert fields such as category, description, pricing, audience, traction, differentiators, risks, links, notes] Ranking logic Score or prioritize results using: [insert ranking criteria] Output format Return: - Landscape map - Ranked table - Key patterns - White space or gaps in the market - Surprising findings - Recommended next deep dives Quality bar Do not stop at obvious names. Find the edges of the market. Pro tips that change output quality immediately Give the system a job, not a topic Add evaluation criteria before it starts Ask for disagreement, not just consensus Force an explicit output structure Use wide research before deep research on unfamiliar territory Tell it what would change your mind Use your own source pack when stakes are high
Read my reddit post on this topic - https://www.reddit.com/r/promptingmagic/comments/1spiw1n/a_complete_guide_for_deep_research_and_wide/
Co-founder of Prompt Magic and ThinkingDeeply.ai Career Chief Marketing Officer
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