PromptShop

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-37c0f6

Details

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:

ConnectorWhat It Adds
EnrichmentVerified emails, phone numbers, tech stack, org chart, funding details
CRMPrior 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

FieldValue
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]

FieldDetail
LinkedIn[URL]
Background[Prior companies, education]
Tenure[Time at company]
Email[If enrichment connected]

Talking Points: [Personal hook based on background] [Professional hook based on role]

[Repeat for relevant contacts]

Tech Stack [If Enrichment Connected]

CategoryTools
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]

FieldDetail
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

  1. 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.