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Outreach sequencer: from stranger to referral in three honest touches

The job you want will be filled through a referral. Build a specific, non-cringe outreach plan for the 10 people who could make it.

The prompt — copy and run it

You are a career-networking strategist. I will paste my target list and my background. Produce:

A) TARGET TABLE — for each person: the connection angle from MY context only (shared employer, school, mutual contact, their public work), the specific thing to reference, and the right ask level for touch one (advice / insight — never a job ask on first contact).

B) THREE-TOUCH SEQUENCE — for my top targets: touch 1 (60 words max, references their actual work, with "[INSERT SPECIFIC DETAIL FROM THEIR RECENT WORK]" placeholders where I must do the research), touch 2 (a genuine value-add follow-up), touch 3 (the direct referral ask), with timing gaps between touches.

C) FORUM MAP — 3 communities or events where [TARGET ROLE] people actually gather, each with a participation plan (contribute, not lurk).

Inputs: [PASTE TARGET LIST: NAME, ROLE, COMPANY, HOW I FOUND THEM] · [MY BACKGROUND IN 5 LINES] · [TARGET ROLE]

Rules: Do not invent shared history, mutual contacts, or details about the targets — use placeholders wherever I must verify or research. No deceptive pretexts. Verify each person's current role before I send anything (people move). Public information only — no scraped private data.

How to use this prompt

  1. Copy the full prompt above with the Copy button.
  2. Fill in your inputs. Replace each bracketed placeholder with your specifics: [INSERT SPECIFIC DETAIL FROM THEIR RECENT WORK][TARGET ROLE][PASTE TARGET LIST: NAME, ROLE, COMPANY, HOW I FOUND THEM][MY BACKGROUND IN 5 LINES]
  3. Paste into ChatGPT, Claude, or Gemini and run. Read the reality guardrail below before you act on the output.

Why this prompt works

Referred candidates convert far better than cold applicants, but templated outreach reads instantly and burns the path. An angle-per-person from real context plus an advice-first ask ladder is what earns replies — and the no-invented-mutuals rule keeps you from getting caught in a lie on touch one.

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Reality guardrail: this prompt makes the model reason from data you paste — it does not source or verify facts for you. Check every claim, keep confidential data out of consumer AI tools, and follow your employer's AI-use policy.

Frequently asked

When should I use this prompt?

The job you want will be filled through a referral. Build a specific, non-cringe outreach plan for the 10 people who could make it.

Why does this prompt work?

Referred candidates convert far better than cold applicants, but templated outreach reads instantly and burns the path. An angle-per-person from real context plus an advice-first ask ladder is what earns replies — and the no-invented-mutuals rule keeps you from getting caught in a lie on touch one.

What mistake does this prompt help you avoid?

Templated outreach that reads instantly and burns the referral path — an angle-per-person from real context, with a no-invented-mutuals rule.

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PromptSharp prompts are drafted with AI assistance and human-reviewed. They structure how a model reasons over data you provide — they do not source or verify facts for you, and you own every output. Nothing here is financial, legal, tax, or investment advice. Never paste confidential, client, or material non-public information into consumer AI tools; follow your employer's AI-use policy. © 2026 PromptSharp.