Team super-connectors are the 5-10% of people inside your company whose personal networks reach disproportionate slices of your ICP. Most companies don't know who they are because the data is scattered across email, LinkedIn, calendar, and CRM. This AI prompt extracts them, ranks them by Connector Score (recency + frequency + depth), and surfaces which target accounts each one can reach. Use it to route warm intros through your highest-leverage internal relationships instead of asking the same exec for every favor.
The prompt
You are a B2B sales analyst helping me identify team super-connectors at [COMPANY_NAME].
Context:
- We sell [PRODUCT] to [ICP — e.g., "VPs of Sales at Series B-D B2B SaaS companies, $50M-$500M revenue"]
- Our target account list: [paste 20-50 named target accounts]
- Our internal team data: [paste a CSV of your team's LinkedIn URLs, current roles, and prior companies]
Task:
1. For each team member, identify which target accounts they have a likely warm path to, based on:
- Prior company overlap with the target account
- Shared school or industry conferences in their LinkedIn profile
- Visible 1st-degree connections to people at the target account
2. Score each team member as a super-connector based on total ICP reach (high = many target accounts, low = few)
3. Return the top 10 team super-connectors as a table with: Name, Role, # of target accounts they can reach, top 3 named accounts, and what type of intro they could likely make (peer-to-peer, exec-to-exec, advisory)
4. Flag which connectors have been over-asked recently (if I provide intro history)
Ideal output: a ranked CSV-style table I can paste into Salesforce or Boomerang.Variables to customize
- COMPANY_NAME — your company name
- PRODUCT — what you sell
- ICP — be specific: title, company stage, revenue, geography
- Target accounts — paste 20-50 named accounts you're trying to break into
- Team data — CSV of LinkedIn URLs + current roles + prior companies for everyone on your team
Example output
The output should look like this:
| Name | Role | Target accounts reachable | Top 3 named accounts | Intro type |
|---|---|---|---|---|
| Sarah Chen | VP Customer Success | 18 | Acme, Stripe, Notion | Peer-to-peer (CS leaders) |
| Marcus Patel | CRO | 14 | Snowflake, Databricks, MongoDB | Exec-to-exec |
| Lin Zhao | SE Director | 9 | Twilio, Plaid, Ramp | Technical peer |
When to use this prompt
1. Annual target account planning. When you build the year's target account list, run this prompt to map which team members can reach which accounts. This determines pursuit captain assignments.
2. ABM list refresh. Each time you refresh the ABM tier, re-run the prompt to map connector coverage. Tier 1 accounts without team connector coverage need either customer or investor pillar activation.
3. New rep onboarding. When a senior rep joins, immediately map their LinkedIn + prior companies against your target account list. Their reach should drive their territory.
4. Pre-deal stage planning. Before opening an enterprise pursuit, identify all team super-connectors with paths to the buyer and plan the multi-threading sequence.
Why this matters at any company size
Most reps default to their local connector tree: their manager, their VP, their CRO, maybe their CEO. That's 4 people out of an entire company. But even a 100-person company has engineers, product, customer success, and 7+ VPs the rep never thinks to ask. At 200 employees you can't manually look up every team member in Sales Navigator's TeamLink — the rep gives up before checking the third name. The result: 90% of the team-pillar super-connector graph is invisible at the rep level, and the wrong intros get routed through the same 4 people every time.
An AI prompt (or better, a continuously-running system) closes this gap by querying the whole team graph instead of just the rep's mental model.
Common mistakes
Treating LinkedIn 1st-degree as warm. A LinkedIn connection from 8 years ago that never converted to email isn't a warm path. The prompt should filter out dormant connections.
Over-asking the top 1-2 connectors. The exec with the biggest network gets asked for every intro. They eventually burn out. The prompt should flag connector load.
Ignoring ex-employee alumni. Recently-departed team members often have stronger reach into your ICP than current employees. Include alumni in the data set.
Only mapping execs. Engineers, product, CS, and individual contributors at every level have networks too. The rep can't manually enumerate them; the prompt (or system) can.
Not refreshing quarterly. Team networks change (new hires, departures, role transitions). Re-run quarterly.
How Boomerang automates this
Boomerang runs this analysis natively across the team pillar of your 4-pillar relationship graph — continuously, not as a quarterly prompt run. The agent identifies team super-connectors, computes Connector Score from email + calendar + Slack signal, maps reach to target accounts in your CRM, and surfaces the optimal connector for each warm-intro request. See customer super-connectors with AI for the customer pillar version and network mapping and relationship scoring for the underlying mechanics.
Bottom line
Team super-connectors are the highest-leverage internal asset most B2B companies don't measure. This AI prompt surfaces them. Better tooling makes them queryable continuously.
