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// Skill profile

GTM Account Research

name: gtm-account-research

by davidslavich · published 2026-03-22

数据处理自动化任务加密货币
Total installs
0
Stars
★ 0
Last updated
2026-03
// Install command
$ claw add gh:davidslavich/davidslavich-gtm-account-research
View on GitHub
// Full documentation

---

name: gtm-account-research

description: >

Deep-dive a target company and produce a structured account intelligence brief

covering tech stack, buying signals, key personas, and a recommended engagement

angle. Use before outreach, a first call, a demo, or setting up an ABM campaign.

Triggered by: "research this account," "brief me on [company]," "what do I know

about [company]," or when preparing for a meeting with a named account.

license: MIT

compatibility: Requires web search access for live signal research.

metadata:

author: iCustomer

version: "1.0.0"

website: https://icustomer.ai

---

# GTM Account Research

Produce an Account Intelligence Brief for a named company. Ground every signal

in a specific, traceable source.

Steps

1. **Snapshot** — company name, HQ, size, business model, recent news (last 90 days)

2. **Tech stack** — identify tools in the categories most relevant to your product

(e.g. data warehouse, CRM, marketing automation, paid channels). Use BuiltWith,

job postings, and engineering blogs as sources.

3. **Buying signals** — job postings, conference attendance, funding events, published

strategy content. Date every signal.

4. **Displacement triggers** — are they actively migrating off a competitor? Hiring

for a role that signals a gap you fill? Flag ⚡ if a strong trigger is present.

5. **Personas** — identify Economic Buyer (budget authority), Technical Champion

(evaluates), and End User (daily use). Name + LinkedIn URL when findable.

6. **Engagement angle** — one specific recommendation: what pain, which product,

what channel, who reaches out first, and the opening hook.

Output

# Account Brief: [Company] | [Date]

Snapshot: [3 sentences — what they do, size, recent context]
ICP Segment: [your segment label]
Stack: [Category: tool — or "Unknown" for each category]
Signals: [Bulleted — signal + source + date]
Displacement: [⚡ Yes — detail / None detected]
Personas: [Name · Title · LinkedIn · Pain point — one row per person]
Gaps: [What's missing that would sharpen the approach]

Engagement Angle:
[Specific: pain → product → channel → who reaches out → opening hook]

Keep the brief scannable. Flag any detail as `[Unverified]` if not directly observed.

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