gtm-account-research（GTM 账户研究）

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.

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

strategy content. Date every signal.

1. 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.

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

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

1. 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.