# LinkedIn Profile Optimizer

A ranked list of profile changes with the rewritten text for the top three, judged against one stated goal instead of against a generic checklist.

- Version 1.0, updated 18 September 2026
- Works with: Claude, ChatGPT, Gemini or any capable assistant
- Source: https://www.linkediz.com/prompts/profile-optimizer

## Use when

- Your acceptance rate is low and the messages are not the problem.
- You are about to start outbound and the profile is the landing page for it.
- You are job hunting and want recruiters to find you for the right title.
- Your profile was written for a job you no longer do.

## Variables to replace

- `{{OBJECTIVE}}` — Objective. The single outcome this run should produce. One outcome, not three.
  Example: Twelve accepted connections a week from in-ICP finance directors
- `{{ROLE}}` — Your role. Your job title and what you are accountable for.
  Example: Founder, doing my own outbound until the first AE starts
- `{{COMPANY}}` — Your company. Name plus the one line you would use to introduce it.
  Example: Cadence — payroll reconciliation software for multi-entity finance teams
- `{{PRODUCT}}` — What you sell. The thing, the outcome it produces, and who signs for it.
  Example: A reconciliation layer that closes multi-entity payroll in two days instead of nine. Bought by the Finance Director, used by the payroll manager.
- `{{AUDIENCE}}` — Audience. Who should stop scrolling. Everyone else is noise in the metrics.
  Example: Finance directors at multi-entity companies, plus the controllers who report to them
- `{{TONE}}` — Tone. How you actually write. Name a person or a publication if it helps.
  Example: Plain, short sentences, no exclamation marks, no "hope this finds you well"

## How to use

1. Paste the real text, including the parts you are embarrassed by. An audit of a cleaned-up profile audits nothing.
2. State one goal. A profile optimised for both "recruiters find me" and "prospects trust me" is optimised for neither, and the two want different headlines.
3. Do the headline first and wait a week before the rest. It is most of the effect and you will want to see it in the wild before rewriting everything.
4. Read "Leave alone" — it is the section that saves the afternoon.

## Do not

- Keyword stuffing the About section. LinkedIn weights it lower than the headline anyway, and the human reading it is the actual filter.
- Copying a headline formula. If a stranger can name the template, it is doing the opposite of what it is for.
- Rewriting all nine sections in one sitting. The ranked list exists because three of them carry almost all the effect.

## Context files this expects

- `BRAND-VOICE.md` — https://www.linkediz.com/ai/files/voice
- `PRODUCT.md` — https://www.linkediz.com/ai/files/product

---

## The prompt

You are a LinkedIn profile strategist. You judge a profile against one goal, not against a checklist, and you are blunt about which sections do not matter for that goal.

## The goal
{{OBJECTIVE}}

## Who I am
{{ROLE}} at {{COMPANY}}
What we do: {{PRODUCT}}
Who I want to be found and believed by: {{AUDIENCE}}
Tone I am comfortable writing in: {{TONE}}

## My profile, pasted verbatim
Headline:
[PASTE]

About:
[PASTE]

Current role — title, company, dates and the description:
[PASTE]

Previous two roles:
[PASTE]

Skills listed, featured section, recommendations count:
[PASTE]

## How LinkedIn search actually works, for context
The headline and the job titles carry the most weight in LinkedIn's own people search. The About section is indexed but weighted lower. Skills affect recruiter search and the "people also viewed" surfaces. None of this is a ranking algorithm you can game with keyword density — repetition past two or three natural uses does nothing except make the profile unreadable to the human who decides.

## Method
1. State what decision each section has to produce, given my goal. If a section cannot affect that decision, say so and tell me to leave it alone.
2. Audit the headline first. It is the only section visible in search results, in comment threads, in connection requests and in the message list — it does more work than the rest of the profile combined.
3. Audit the About section against the first three lines only, because that is all anyone sees before the "see more" fold.
4. Check the current role description. For sellers it is read after the headline; for job seekers it is what a recruiter screens on.
5. Identify the five to eight terms my audience would actually search for, and where each one should appear naturally. Never suggest a keyword stuffing pattern.
6. Rank every recommended change by impact on my stated goal, and mark the ones that are not worth doing.

## Constraints
- The headline field holds 220 characters. Print the count on every headline you write.
- Do not produce the "I help X achieve Y through Z" formula, or the pipe-separated list of nouns. Both are instantly recognisable as generated and both bury the specific claim.
- No emoji in the headline, no "🚀", no "Ex-Google" unless it is literally true.
- Do not write in the third person. LinkedIn's own convention is first person and the third-person About reads as a press release.
- Do not claim experience, results or credentials that are not in what I pasted.

## Output format

### What this profile currently says
Two sentences, as a stranger would summarise it. This is usually the most useful line in the audit.

### The gap
The difference between that and the goal.

### Headline — rewritten
Three options, each with (n characters) and one line on who each one is aimed at. Recommend one.

### About — first three lines, rewritten
The part above the fold, rewritten. Then the rest of the section as an outline, not full text.

### Current role — rewritten
The description, under 150 words.

### Keywords
| Term | Why my audience searches it | Where it should appear |
|---|---|---|

### Ranked changes
| # | Change | Effort | Impact on the goal |
|---|---|---|---|

### Leave alone
The sections that do not matter for this goal, so I do not waste a Sunday on them.

---

## Notes

Written to a fixed structure and run through Claude and ChatGPT to confirm each one returns the output format it declares. That is not the same as a measured reply-rate benchmark, and nothing here claims one — if you run these at volume and have numbers, we want them.

---

Linkediz LinkedIn AI Toolkit — v1.0, 18 September 2026
Source and updates: https://www.linkediz.com/prompts/profile-optimizer
LinkedIn plan limits and prices in this file: https://www.linkediz.com/linkedin-limits