If you need to check connected tools (placeholders) or role/company context, see REFERENCE.md.
Account Research
Get a complete picture of any company or person before outreach. This skill always works with web search, and gets significantly better with data enrichment and CRM data.
How It Works
┌─────────────────────────────────────────────────────────────────┐ │ ACCOUNT RESEARCH │ ├─────────────────────────────────────────────────────────────────┤ │ ALWAYS (works standalone via web search) │ │ ✓ Company overview: what they do, size, industry │ │ ✓ Recent news: funding, leadership changes, announcements │ │ ✓ Hiring signals: open roles, growth indicators │ │ ✓ Key people: leadership team from LinkedIn │ │ ✓ Product/service: what they sell, who they serve │ ├─────────────────────────────────────────────────────────────────┤ │ SUPERCHARGED (when you connect your tools) │ │ + ~~data enrichment~~: verified emails, phone, tech stack, org chart │ │ + ~~CRM~~: prior relationship, past opportunities, contacts │ └─────────────────────────────────────────────────────────────────┘
Getting Started
Just tell me who to research:
- •"Research Stripe"
- •"Look up the CTO at Notion"
- •"Intel on acme.com"
- •"Who is Sarah Chen at TechCorp?"
- •"Tell me about [company] before my call"
I'll run web searches immediately. If you have data enrichment or CRM connected, I'll pull that data too.
Connectors (Optional)
Connect your tools to supercharge this skill:
| Connector | What It Adds |
|---|---|
| Verified emails, phone numbers, tech stack, org chart, funding details | |
| Prior relationship history, past opportunities, existing contacts, notes |
No connectors? No problem. Web search provides solid research for any company or person.
Output Format
# Research: [Company or Person Name] **Generated:** [Date] **Sources:** Web Search [+ ~~data enrichment~~] [+ ~~CRM~~] --- ## Quick Take [2-3 sentences: Who they are, why they might need you, best angle for outreach] --- ## Company Profile | Field | Value | |-------|-------| | **Company** | [Name] | | **Website** | [URL] | | **Industry** | [Industry] | | **Size** | [Employee count] | | **Headquarters** | [Location] | | **Founded** | [Year] | | **Funding** | [Stage + amount if known] | | **Revenue** | [Estimate if available] | ### What They Do [1-2 sentence description of their business, product, and customers] ### Recent News - **[Headline]** — [Date] — [Why it matters for your outreach] - **[Headline]** — [Date] — [Why it matters] ### Hiring Signals - [X] open roles in [Department] - Notable: [Relevant roles like Engineering, Sales, AI/ML] - Growth indicator: [Hiring velocity interpretation] --- ## Key People ### [Name] — [Title] | Field | Detail | |-------|--------| | **LinkedIn** | [URL] | | **Background** | [Prior companies, education] | | **Tenure** | [Time at company] | | **~~email~~** | [If ~~data enrichment~~ connected] | **Talking Points:** - [Personal hook based on background] - [Professional hook based on role] [Repeat for relevant contacts] --- ## Tech Stack [If ~~data enrichment~~ Connected] | Category | Tools | |----------|-------| | **Cloud** | [AWS, GCP, Azure, etc.] | | **Data** | [Snowflake, Databricks, etc.] | | **~~CRM~~** | [e.g. Salesforce, HubSpot] | | **Other** | [Relevant tools] | **Integration Opportunity:** [How your product fits with their stack] --- ## Prior Relationship [If ~~CRM~~ Connected] | Field | Detail | |-------|--------| | **Status** | [New / Prior prospect / Customer / Churned] | | **Last Contact** | [Date and type] | | **Previous Opps** | [Won/Lost and why] | | **Known Contacts** | [Names already in ~~CRM~~] | **History:** [Summary of past relationship] --- ## Qualification Signals ### Positive Signals - ✅ [Signal and evidence] - ✅ [Signal and evidence] ### Potential Concerns - ⚠️ [Concern and what to watch for] ### Unknown (Ask in Discovery) - ❓ [Gap in understanding] --- ## Recommended Approach **Best Entry Point:** [Person and why] **Opening Hook:** [What to lead with based on research] **Discovery Questions:** 1. [Question about their situation] 2. [Question about pain points] 3. [Question about decision process] --- ## Sources - [Source 1](URL) - [Source 2](URL)
Execution Flow
Step 1: Parse Request
Identify what to research: - "Research Stripe" → Company research - "Look up John Smith at Acme" → Person + company - "Who is the CTO at Notion" → Role-based search - "Intel on acme.com" → Domain-based lookup
Step 2: Web Search (Always)
Run these searches: 1. "[Company name]" → Homepage, about page 2. "[Company name] news" → Recent announcements 3. "[Company name] funding" → Investment history 4. "[Company name] careers" → Hiring signals 5. "[Person name] [Company] LinkedIn" → Profile info 6. "[Company name] product" → What they sell 7. "[Company name] customers" → Who they serve
Extract:
- •Company description and positioning
- •Recent news (last 90 days)
- •Leadership team
- •Open job postings
- •Technology mentions
- •Customer base
Step 3: data enrichment (If Connected)
If enrichment tools available: 1. Enrich company → Firmographics, funding, tech stack 2. Search people → Org chart, contact list 3. Enrich person → ~~email~~, phone, background 4. Get signals → Intent data, hiring velocity
data enrichment adds:
- •Verified contact info
- •Complete org chart
- •Precise employee count
- •Detailed tech stack
- •Funding history with investors
Step 4: CRM Check (If Connected)
If ~~CRM~~ available: 1. Search for account by domain 2. Get related contacts 3. Get opportunity history 4. Get activity timeline
CRM adds:
- •Prior relationship context
- •What happened before (won/lost deals)
- •Who we've talked to
- •Notes and history
Step 5: Synthesize
1. Combine all sources 2. Prioritize enrichment data over web (more accurate) 3. Add ~~CRM~~ context if exists 4. Identify qualification signals 5. Generate talking points 6. Recommend approach
Research Variations
Company Research
Focus on: Business overview, news, hiring, leadership
Person Research
Focus on: Background, role, LinkedIn activity, talking points
Competitor Research
Focus on: Product comparison, positioning, win/loss patterns
Pre-Meeting Research
Focus on: Attendee backgrounds, recent news, relationship history
Tips for Better Research
- •Include the domain — "research acme.com" is more precise
- •Specify the person — "look up Jane Smith, VP Sales at Acme"
- •State your goal — "research Stripe before my demo call"
- •Ask for specifics — "what's their tech stack?" after initial research
Related Skills
- •call-prep — Full meeting prep with this research plus context
- •draft-outreach — Write personalized message based on research
- •prospecting — Qualify and prioritize research targets