Can AI write my LinkedIn summary?
Yes. Give it your real experience and what you want next, and it writes a clear About section in your voice.
01Why bot
- Summaries follow a known shape: who you help, how, and proof.
- AI is good at turning a list of jobs into a short story.
- You can check every line because the facts come from you.
Sponsor slot · openFeatured tool for this task. A labeled card for one relevant tool.
Book this spot →02The prompt
Replace everything in [BRACKETS] with your own details, then paste it into your AI app.
Write my LinkedIn About section. 120 to 180 words, first person, plain and warm. What I do now: [ROLE, INDUSTRY] Past experience worth mentioning: [2-4 ITEMS WITH REAL RESULTS] What I want next: [e.g. roles in customer success] Something personal (optional): [e.g. I coach youth soccer] Structure: one-line hook, what I do and for whom, 2 or 3 proof points, what I'm looking for. Rules: NEVER invent results, numbers, titles or skills. No buzzwords like "passionate," "results-driven" or "synergy."
03Steps
- Add real results with numbers you can back up.
- Read it aloud and change anything that doesn't sound like you.
- Paste it into the About section on your profile.
04What can go wrong
- Recruiters check claims in interviews. Keep every number true.
05What to use
Any major AI chat app: ChatGPT, Claude or Gemini. The free tier works.
06Our test runs
2 runs, each with a different made-up sample. 1 of 2 passed every check.
Run 1 · Llama 3.3 70B · graded by GPT-OSS 120BOct 2, 2026Passed with a catch
The made-up sample:
[ROLE, INDUSTRY]Customer Success Manager in the SaaS industry, helping B2B software firms retain and grow their client base.[2-4 ITEMS WITH REAL RESULTS]• Redesigned the onboarding workflow, cutting time‑to‑value for new users. • Established a continuous feedback loop that lifted the Net Promoter Score noticeably. • Built a self‑service knowledge base that reduced inbound support tickets significantly.[e.g. roles in customer success]I’m looking for senior customer success leadership roles where I can shape strategy and mentor teams in fast‑growing technology companies.[e.g. I coach youth soccer]On weekends I volunteer as a youth soccer coach, organizing practices and fostering teamwork for kids aged 8‑12.
- Include hook, role, proof points, next goal
- Never invent results, numbers, titles, skills
- Avoid buzzwords like "passionate"
- Didn't make up details we never gave it
What came back (excerpt):
As a dedicated customer success professional, I help B2B software firms retain and grow their client base as a Customer Success Manager in the SaaS industry. My work focuses on delivering value to customers and driving long-term relationships.
Read the full answer
As a dedicated customer success professional, I help B2B software firms retain and grow their client base as a Customer Success Manager in the SaaS industry. My work focuses on delivering value to customers and driving long-term relationships. In my current and previous roles, I've had the opportunity to redesign the onboarding workflow, establish a continuous feedback loop, and build a self-service knowledge base - all of which have positively impacted the customer experience. I'm now looking for senior customer success leadership roles where I can shape strategy and mentor teams in fast-growing technology companies, leveraging my experience to drive growth and customer satisfaction. Outside of work, I enjoy volunteering as a youth soccer coach, where I help kids develop teamwork and skills.
Check that the output meets the required word count and structural sections.
Run 2 · Llama 3.3 70B · graded by GPT-OSS 120BOct 22, 2026Passed
The made-up sample (a messier one):
[ROLE, INDUSTRY]Senior product analyst, fintech startup (payments platform)[2-4 ITEMS WITH REAL RESULTS]Led redesign of onboarding flow, cutting drop‑off from 27% to 19% in three months; built a forecasting model that improved cash‑flow prediction accuracy by 12%; coordinated a cross‑team sprint that delivered a new API integration two weeks ahead of schedule.[e.g. roles in customer success]Looking for product operations or customer success roles where I can translate data insights into better client experiences.[e.g. I coach youth soccer]I spend weekends coaching a local under‑12 soccer team and tinkering with vintage synths.
- Include one-line hook
- First-person narrative
- Word count between 120 and 180
- No invented results, numbers, titles, or buzzwords
- Word count under 180 words (107 words, counted by code)
- Didn't make up details we never gave it
What came back (excerpt):
Currently, I work as a Senior Product Analyst at a payments platform startup, where I analyze data to inform product improvements.
Read the full answer
As a data-informed problem solver, I help fintech startups make better decisions. Currently, I work as a Senior Product Analyst at a payments platform startup, where I analyze data to inform product improvements. Some of my notable achievements include leading the redesign of an onboarding flow that reduced drop-off rates from 27% to 19% in three months, building a forecasting model that improved cash-flow prediction accuracy by 12%, and coordinating a cross-team sprint that delivered a new API integration two weeks ahead of schedule. I'm now looking for a role in product operations or customer success where I can use data insights to drive better client experiences.
Check that the total word count stays within the 120‑180 range.
How each run works: we fill the prompt with a made-up sample, run it once in Llama 3.3 70B, and GPT-OSS 120B grades the answer against the prompt's own rules. Word limits are counted by code, and every quote flagged as made up is checked against the full answer. Your results can differ. How we test.
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