analytics
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firecrawl-lead-research
Produce pre-meeting lead intelligence briefs with Firecrawl. Use when the user needs company research, person research, recent news, talking points, pain points, or outreach preparation before a sales call, partnership meeting, investor conversation, or customer interview.
Full skill instructions
Use this to create a concise, actionable pre-meeting brief.
Infer the company, person, meeting context, and desired brief depth from context. If the company is clear, proceed immediately.
Ask at most 1-3 concise questions only if blocked, such as the company/person to research or the meeting context.
Use Firecrawl search and scrape to gather:
If appropriate, use sub-agents or equivalent parallel task runners:
Each researcher should return source URLs and only evidence-backed claims.
# Lead Brief: [Company]
## Company Overview
[What they do, stage/size signals, products, customers]
## Recent Activity
[News, launches, funding, hiring, partnerships]
## Key People
[Relevant people and public background]
## Talking Points
[5-7 specific conversation starters]
## Likely Pain Points
[Evidence-backed hypotheses]
## Outreach Angle
[Suggested positioning or next step]
## Sources
[URLs used]
## Rerun Inputs
workflow: firecrawl-lead-research
company: [name/url]
person: [optional]
context: [meeting context]
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Unified indexing and search across code repositories, documentation, research papers, datasets, local folders, Slack, and Google Drive.
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Web search API for LLMs with real-time data access, content extraction, site crawling, and AI-powered research.
Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, LinkedIn, X/Twitter, Google Maps, Google Search, Google Trends, Reddit, Airbnb, Yelp, and 15+ more platforms. Use for lead generation, brand monitoring, competitor analysis, influencer discovery, trend research, content analytics, audience analysis, review analysis, SEO intelligence, recruitment, or any data extraction task.
Exhaustive research with configurable depth, latency, and cost trade-offs for complex topics.
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