GTM Account Research

Other

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.

Install

openclaw skills install gtm-account-research

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.