Account Research
This skill provides a complete overview of any company or person before outreach, leveraging web search and optionally enrichment and CRM data.
Install
npx promptshop add account-research-37c0f6Details
What This Skill Does
This skill provides a complete overview of any company or person before outreach, leveraging web search and optionally enrichment and CRM data. It gathers company information, recent news, hiring signals, key people, and product/service details. Connecting enrichment and CRM tools enhances the research with verified emails, phone numbers, and relationship history.
When to Use
- Researching a company before a sales call.
- Looking up the CTO of a target company.
- Gathering intel on a specific company's website.
- Finding information about a person before meeting them.
- Preparing for a meeting with a potential client.
Key Features
Provides company overview, recent news, and hiring signals. Identifies key people and their roles. Details product/service offerings. Integrates with enrichment tools for verified contact information. Connects to CRM for prior relationship history and opportunities.
Manual Installation
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) │ │ + 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 enrichment or CRM connected, I'll pull that data too.
Connectors (Optional)
Connect your tools to supercharge this skill:
| Connector | What It Adds |
|---|---|
| Enrichment | Verified emails, phone numbers, tech stack, org chart, funding details |
| CRM | 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 [+ 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 |
|---|---|
| [URL] | |
| Background | [Prior companies, education] |
| Tenure | [Time at company] |
| [If enrichment connected] |
Talking Points: [Personal hook based on background] [Professional hook based on role]
[Repeat for relevant contacts]
Tech Stack [If 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]
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: [Question about their situation] [Question about pain points] [Question about decision process]
Sources
Source 1 Source 2
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: "[Company name]" → Homepage, about page "[Company name] news" → Recent announcements "[Company name] funding" → Investment history "[Company name] careers" → Hiring signals "[Person name] [Company] LinkedIn" → Profile info "[Company name] product" → What they sell "[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: Enrichment (If Connected)
- If enrichment tools available:
- Enrich company → Firmographics, funding, tech stack.
- Search people → Org chart, contact list.
- Enrich person → Email, phone, background.
- Get signals → Intent data, hiring velocity.
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: Search for account by domain Get related contacts
- Get opportunity history.
- 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
- Combine all sources
- Prioritize enrichment data over web (more accurate)
- Add CRM context if exists.
- Identify qualification signals.
- Generate talking points.
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.