Your LinkedIn is the first artifact a recruiter or hiring manager reads. By mid-2026 most profiles have already been AI-rewritten at least once, so the generic ChatGPT cadence is now a negative signal — readers skim past it the way they skim past “results-driven professional.” The job is not to use AI more cleverly. It is to keep the voice yours while AI does the structural work and respects the fields LinkedIn actually shows.
TL;DR
- Feed AI your real numbers and a one-sentence target role; never let it invent achievements.
- Front-load the first ~60-70 characters of your headline (that is all that shows in search and connection requests) and the first ~200-300 characters of your About (that is all that shows before “See more”).
- Hard limits as of June 2026: headline 220 characters, About 2,600 characters. Going long is not the problem; not front-loading is.
- Read every line aloud and rewrite the half that does not sound like you. Pasting an AI draft as-is is the most common tell.
When this is the right job for AI
- You have a clear next-role hypothesis (e.g. “Staff PM at a Series B dev-tools company”), not just “open to work.”
- You have a working resume or a list of 6-10 real things you shipped in the last 24 months.
- You have 30 minutes to read the output aloud and rewrite the half that does not sound like you.
- You are willing to delete more than you add — most profiles are too long, not too short.
If you cannot describe the next role in one sentence, fix that first. AI mirrors vagueness back at higher resolution.
The fields that matter (and their real limits)
| Field | Hard limit (June 2026) | Visible before cutoff | What it is for |
|---|---|---|---|
| Headline | 220 chars | ~60-70 chars in search, connection requests, comments | The hook recruiters read in a results list |
| About | 2,600 chars | ~200 (mobile) to ~300 (desktop) chars before “See more” | The story they read after they decide to click |
| Current-role description | 2,000 chars | First ~2 lines on profile | Proof the headline’s claim is real |
Two takeaways: your headline’s strongest words must live in the first 60-70 characters, and your About’s first two sentences carry the whole click decision.
What to feed the AI
- Current headline, About, and current-role section (verbatim, including the parts you hate)
- Target role + level + company stage (Seed / Series B / public)
- 6-10 shipped artifacts with one number or comparative scope each
- The 2-3 LinkedIn searches you want to appear in (e.g. “platform PM”, “developer tools PM”)
- Two phrases you would never say aloud — to ban explicitly
Copy-ready prompt
Paste this into ChatGPT (GPT-5.5), Claude (Sonnet 4.6), or Gemini 3.1 Pro. Replace the bracketed placeholders. It works as well on the free tier as the paid one — this is a short reasoning task, not a long-context job.
You are rewriting my LinkedIn profile. Goal: read as written by me, not by AI.
Current headline: "[paste headline]"
Current About: "[paste 1-3 paragraphs]"
Current role bullets: "[paste 3-6 bullets]"
Target role: [Staff PM at Series B dev-tools company]
Target searches I should appear in: [platform PM, developer tools PM, infra PM]
Last 24 months I want to surface (with numbers):
- [artifact 1 + number]
- [artifact 2 + number]
- [artifact 3 + number]
- [artifact 4 + number]
Voice rules:
- I write in first person, contractions allowed (I'm, I've).
- No abstract nouns ("impact", "value", "synergies") unless followed by a number.
- No "passionate about", no "results-driven", no "proven track record".
- Two phrases I would never say: [ban 1], [ban 2].
Produce:
1. Headline: under 220 chars, strongest hook in the first 60 chars
(1 hook + 1 specific noun + 1 outcome).
2. About: 3 short paragraphs, strongest fact in the first 2 sentences —
through-line, last 2 shipped artifacts with numbers, what I am hunting next.
3. Current-role: 3 bullets, each under 22 words, lead with a verb
appropriate to my level.
After each section, list the 2-3 LinkedIn search phrases you wove in.What good output looks like
Headline: “Staff PM building dev platforms. Shipped a feature-flag service used by 12 teams; cut internal eval cycles from 3 days to 4 hours. Hunting Series B dev-tools.”
About, sentence 1-2: The through-line plus the single best fact, both inside the first 300 characters so they survive the “See more” cutoff. (“Six years from building developer infra to shaping it as a PM. Last year I took our eval loop from 3 days to 4 hours and 12 teams adopted it.”)
About, paragraph 2: Two concrete artifacts from the last 24 months, each with a number and a second-order outcome — not just the metric, but what it unlocked.
About, paragraph 3: The next-role hypothesis in plain language, the company stage you want, and a one-line invitation that does not say “feel free to reach out.”
How to refine
- Reads like ChatGPT: add “no em-dashes, no
not just X but Y, noit's worth noting that. Use short sentences. One sentence under 8 words per paragraph.” - Too corporate: add “rewrite using only words I would say to a colleague over coffee.”
- Headline gets cut off in search: ask AI to count the first 60 characters and put the strongest hook there.
- All bullets sound the same: require one bullet led with a build verb, one with a lead verb, one with a measurement verb.
Should you use LinkedIn’s built-in AI assistant instead?
LinkedIn ships its own AI writing assistant for the Headline and About sections, accessed from the My Premium page or the top of your profile. As of June 2026 it is Premium-only (Premium Career is $29.99/month, or $19.99/month billed annually) and rolled out in a handful of languages. It is convenient and edit-before-save, but it produces exactly the cadence recruiters now discount, because every Premium user is fed the same model with the same defaults. Use a general model with the prompt above and your own voice rules, then paste the result in. The point of the rewrite is to not sound like the default.
Common mistakes
- Pasting the AI draft as-is. Recruiters now recognize the cadence in under three seconds.
- Stuffing keywords. LinkedIn search ranks recency and engagement; keyword density past 2-3 mentions does nothing.
- Burying the hook past character 70 in the headline, where the search-results cutoff hides it.
- Writing About in third person. It reads like a press release and signals you copied a template.
- Listing every role with the same template. Vary verb categories and sentence shapes so it reads as one voice across time, not one prompt across roles.
- Forgetting to update the “Open to Work” setting. The profile and the signal must agree.
FAQ
- Should I tell AI about my career gap? Yes, and give it the framing you want in one line (“I took 8 months for caregiving and shipped two open-source tools”). Otherwise it invents a story, and an invented gap reads worse than an honest one.
- How often should I refresh? Every 6 months, or every time you ship something with a number worth surfacing.
- Does the headline matter more than the About? Yes. The headline is what recruiters see in search and in connection requests; About is what they read after they have already decided to click.
- Public “Open to Work” green frame, or recruiters-only? The public green frame raises recruiter InMails by roughly 40% on average, but everyone — including your current employer — can see it. Recruiters-only mode keeps most of that algorithmic lift while hiding the signal from your network. LinkedIn says it tries to hide the status from recruiters at your current company but cannot fully guarantee it, so if you are employed, default to recruiters-only.
- Will AI know LinkedIn’s character limits? Don’t trust it to. Give it the limits in the prompt (220 / 2,600) and check the headline yourself — models routinely overshoot by 30-40 characters.
Related
- AI resume bullet rewrite
- AI cover letter
- AI cold outreach for job hunting
- AI tell-me-about-yourself practice
- AI company / role research
Tags: #AI writing #LinkedIn #Job search #job-search-practice