Marketing how-to

How to do account-based marketing with AI.

Account-based marketing was always more aspirational than practical for most B2B teams because the per-account labor was prohibitive. AI changes that math. Real ABM at meaningful scale is now possible for mid-sized B2B teams. Here is the practical workflow.

The premise

Why ABM was historically broken

Traditional ABM was: pick 100 dream accounts, research each deeply, create custom content for each, run targeted ads, coordinate sales and marketing handoffs. The per-account labor was so high that most teams could only do it for 20-30 accounts.

AI compresses the research and personalization labor by 80-90%, which means real ABM at 100-500 accounts is now feasible for a 5-15 person GTM team. This changes the math of who should do ABM.

The 5-step AI-enabled workflow

What it looks like now

1. Account selection with AI scoring. Load your operational ICP into a Claude Project. Run your prospect list through it. Get back ranked accounts with reasoning. See how to use AI to research prospects.

2. Tier the accounts into 3 cohorts. Tier 1 (10-20 dream accounts, deep custom work), Tier 2 (50-150 accounts, semi-custom), Tier 3 (200-500 accounts, automated personalization).

3. Generate account briefs at scale. Claude generates a structured account brief per account using web data + your ICP framework. 5-10 minutes per account vs. 90 minutes manually.

4. Build per-account messaging variants. For Tier 1: custom landing page + sequence. For Tier 2: persona-specific sequence with account-level personalization. For Tier 3: ICP-specific sequence with light personalization.

5. Coordinate sales/marketing on shared briefs. Sales and marketing both reference the same Claude-generated account brief. Eliminates the "what is sales pitching this account on?" disconnect.

The account brief prompt

The most-reused asset

Generate an ABM account brief for [TARGET COMPANY] using the URL [URL].

Our ICP fields (from knowledge base) are: [auto-loaded]
Our unique selling angle: [SHORT VERSION]

Return:
1. Account fit score (1-10) with reasoning against our ICP
2. Recent timing signals (last 90 days: funding, hires, product launches, churn signals, regulatory changes)
3. Likely buying committee (named where possible, role-typed otherwise)
4. Top 3 angles for outreach based on the specific account, not generic value-prop
5. Account-specific risks (why this might NOT close)
6. Recommended Tier (1, 2, 3) and recommended motion intensity

Flag any data we should not trust without verification.
Tooling stack

What you actually need

Required: Claude Team (the Project layer), Perplexity Pro (for real-time data), your existing CRM, your existing sales engagement tool.

Optional but powerful: 6sense or Demandbase for intent data, Apollo or Cognism for contact enrichment, Mutiny or Pathfactory for custom landing pages.

Most teams over-buy ABM tooling. The core capability is research + personalization at scale. Claude + Perplexity + your existing CRM covers that. Add specialty ABM platforms only when you have a specific gap they fill.

Related

Related marketing how-tos

Want ABM workflows built for your team?
Implementation includes ABM workflow design as part of the Outbound Intelligence pillar.
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