Prospect Research

Prospect Research

> Research any company and generate a structured intelligence profile in 60 seconds.

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name: prospect-research version: 1.0.0 description: Research any company and generate a structured intelligence profile author: KOINO Capital tags: [sales, research, prospecting] ---

Description

Prospect Research takes a company name and produces a full intelligence dossier — industry, team size, services, tech stack, funding, recent news, and strategic angles. Everything a seller needs before the first call, generated in under a minute.

Stop spending 20 minutes per prospect on LinkedIn and Crunchbase. This skill does the homework so you can focus on the conversation.

Activation

This skill activates when:

• The user wants to research a company before a sales call
• The user provides a company name and wants an intelligence profile
• The user asks for a prospect dossier, company research, or pre-call prep
• The user mentions "research", "profile", "look up", or "what do we know about"

Trigger phrases: "research this company", "prospect research", "look up", "company profile", "pre-call research", "tell me about [company]", "dossier on"

Instructions

When the user provides a company name (and optionally a URL, contact name, or industry hint):

Step 1: Gather Intelligence

Use web search to find:

• Company website — homepage, about page, team page, careers page, blog
• LinkedIn — company page, employee count, recent posts
• Crunchbase / PitchBook — funding, investors, revenue estimates
• News — press releases, articles, mentions from last 90 days
• Tech stack clues — job postings (what tools they hire for), BuiltWith data, integrations mentioned
• Social presence — Twitter/X, YouTube, podcast appearances
• Reviews — G2, Glassdoor, Google Reviews if B2C

Step 2: Generate the Profile

Output the following structured markdown:

# [Company Name] — Prospect Intelligence Profile

**Generated**: [date]
**Confidence Level**: [High / Medium / Low] (based on data availability)

---

## Company Overview
| Field | Detail |
|-------|--------|
| **Full Name** | [Legal name if found] |
| **Website** | [URL] |
| **Industry** | [Primary industry + sub-segment] |
| **Founded** | [Year] |
| **Headquarters** | [City, State/Country] |
| **Team Size** | [Estimate with source — LinkedIn, careers page, etc.] |
| **Revenue Estimate** | [Range if available] |
| **Funding** | [Total raised, last round, investors] |
| **Business Model** | [B2B / B2C / B2B2C, SaaS / Services / Product, etc.] |

## What They Do
[2-3 sentence plain-English summary. No jargon. What problem do they solve, for whom?]

## Products & Services
- [Product/service 1] — [one-line description]
- [Product/service 2] — [one-line description]
- [etc.]

## Tech Stack (observed or inferred)
| Category | Tools |
|----------|-------|
| **CRM** | [e.g., Salesforce, HubSpot] |
| **Marketing** | [e.g., Marketo, Mailchimp] |
| **Engineering** | [e.g., React, AWS, Python] |
| **Analytics** | [e.g., Mixpanel, GA4] |
| **Other** | [Anything notable] |

*Sources: job postings, integrations page, BuiltWith, etc.*

## Key People
| Name | Title | Notes |
|------|-------|-------|
| [Name] | [Title] | [Relevant detail — LinkedIn post, podcast appearance, quote] |

## Recent News & Activity (last 90 days)
- [Date] — [Headline + 1-sentence summary + source link]
- [Date] — [Headline + 1-sentence summary + source link]
- [Date] — [Headline + 1-sentence summary + source link]

## Strategic Angles (for outreach)

### Pain Points (likely)
1. [Inferred pain point based on industry + company stage + hiring patterns]
2. [Second pain point]
3. [Third pain point]

### Conversation Starters
- "[Reference to recent news or LinkedIn post] — how is that affecting [X]?"
- "[Industry trend] is hitting companies your size hard. How are you handling [specific aspect]?"
- "[Competitor] just [did something]. Does that change anything for your team?"

### Timing Signals
- [Are they hiring? (growth mode)]
- [Did they just raise? (spending mode)]
- [Leadership change? (new priorities)]
- [Negative reviews? (pain is public)]

## Competitive Landscape
| Competitor | How They Differ |
|------------|----------------|
| [Competitor 1] | [Key differentiator] |
| [Competitor 2] | [Key differentiator] |

## Pre-Call Checklist
- [ ] Review their LinkedIn company page
- [ ] Check the contact's recent LinkedIn posts
- [ ] Identify one specific thing to reference in opening
- [ ] Prepare 2-3 questions based on pain points above
- [ ] Have a relevant case study ready

Step 3: Confidence Assessment

Rate the profile:

• High confidence: Multiple corroborating sources, recent data, clear picture
• Medium confidence: Some gaps, older data, reasonable inferences
• Low confidence: Limited public data, heavy inference, flag what's uncertain

Rules

1. Cite sources. Every claim should trace to a URL or observable fact.
2. Flag uncertainty. If something is inferred vs. confirmed, say so.
3. No hallucinated data. If you can't find revenue, say "Not publicly available" — don't guess a number.
4. Recency matters. Deprioritize information older than 12 months unless foundational.
5. Actionable over comprehensive. The "Strategic Angles" section is the most valuable part. Spend the most effort there.
6. Plain English. Write like a smart colleague briefing you before a meeting, not like a database dump.

Example

Input

> Research Gong.io

Output

(Full profile following the template above, with real data from web search)

Batch Mode

Provide a list of companies to get profiles for each:

1. Gong.io
2. Outreach.io
3. Apollo.io

Each profile will be generated individually with company-specific research — not templated guesses.

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Generated by KOINO Capital | Full AI readiness analysis: koino.capital/score Want prospect research running on autopilot? Deploy with KOINO

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

• Author: koinod
• Source: koinod/koino-skills
• License: MIT

Install and usage instructions live in the source repository linked above.