koinod Prospect Research
Research any company and generate a structured intelligence profile in 60 seconds.
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
- Cite sources. Every claim should trace to a URL or observable fact.
- Flag uncertainty. If something is inferred vs. confirmed, say so.
- No hallucinated data. If you can't find revenue, say "Not publicly available" — don't guess a number.
- Recency matters. Deprioritize information older than 12 months unless foundational.
- Actionable over comprehensive. The "Strategic Angles" section is the most valuable part. Spend the most effort there.
- 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.
Generated by KOINO Capital | Full AI readiness analysis: koino.capital/score Want prospect research running on autopilot? Deploy with KOINO