Ask a chatbot for a LinkedIn About section and you get something competent, pleasant and almost identical to what it gave the last person. That sameness is the real risk when you use AI to write your LinkedIn profile, far more than the odd factual slip. The tool can save you hours on a first draft, provided you feed it real material and take back the parts a reader actually judges.
Why so many AI profiles sound the same
A language model predicts likely words, so a vague prompt returns the likeliest possible profile. Ask for "a strong About section for a marketing manager" and out comes a passionate, results-driven professional who thrives in fast-paced environments. None of it is false. None of it could only be about you.
Recruiters read profiles in batches, and they recognise that register within a line or two. The objection is rarely that a machine helped. The objection is that the text carries no evidence: no client type, no scale, no decision anyone can picture. A person writing the same phrases by hand would fail for the same reason, which tells you the fix sits in the input and the editing rather than in a cleverer prompt.
The same logic applies to LinkedIn's own AI writing assistant, which can suggest text for the Headline, About and Experience sections depending on your account. The suggestion is editable and nothing reaches your profile until you save it, so treat it like any other rough draft. Whichever tool you pick, what comes out reflects what you gave it.
What to feed the tool
Spend twenty minutes on raw material before you open a chat window. You are building a fact sheet, and it can be ugly. Write down:
- Three or four outcomes you could explain in an interview, meaning what changed because you were there.
- Figures you can defend when someone asks how you measured them.
- Your scope: people managed, budget, markets, type of client.
- The job you want next and who will be reading.
- A few sentences you wrote yourself, such as an email or a post, so the tool has a sample of your voice.
Take Lea, an invented operations coordinator at an invented haulier called Northway Freight. Her fact sheet says: "moved 40 drivers from paper to an app, invoice disputes down from about 30 a month to under 10, trained the team myself, rollout slipped six weeks and I rebuilt the plan." That clumsy line is worth more than any prompt trick, because it holds a number, a method and a setback she recovered from.
Then give the tool three instructions. Use only what is on the sheet and invent nothing. Skip stock adjectives such as passionate, dynamic and results-driven. Produce three versions with different openings, because the first attempt tends to be the most generic.
One firm limit: never paste private employer or client data into a tool, so strip out confidential names, internal revenue and contract terms before you start.
Headline, About, Experience: where the draft helps
Each section needs something different from the tool, and none of them should be accepted whole.
Headline
Use AI for range here. Ask for ten variations built from your target role and your strongest proof point, then pick one and tighten it yourself. For the structure itself, our LinkedIn headline formulas cover the options, and we will not repeat them here.
About
If you ask ChatGPT for a LinkedIn About section, give it a structure instead of letting it choose one. Pick a shape from these About section templates, paste it in with your fact sheet, and ask the tool to fill it using your facts alone. You will still rewrite the result, though you will start from your own content rather than from its average of everyone else's.
Experience
This is where AI earns its keep. Most people have thin role descriptions, and a tool is good at turning a messy list into clean bullets. Give it one role at a time, with the outcomes for that role only, so achievements do not drift between jobs. The Experience section best practices show what those entries should contain once the tool has finished.
What to rewrite by hand
Three things stay yours, whatever the draft looks like.
The first two lines of the About section. That is what shows before a reader expands the text, and it is where AI writing is at its most predictable. Open on a specific fact or situation. Here is Lea's opening, before and after:
Before: "I am a passionate, results-driven operations professional with a proven track record of driving efficiency across cross-functional teams."
After: "Forty drivers, paper invoices and about 30 billing disputes a month. That was my first project at Northway Freight. Twelve months later the paper was gone and disputes were under 10."
The second version is not fancier. It is simply impossible to confuse with anyone else's.
The verbs. AI favours "spearheaded", "leveraged", "orchestrated" and "drove". Replace them with what you physically did: trained, rebuilt, negotiated, closed, wrote. If "spearheaded" really meant "I sat in the weekly meeting", the plain verb will show you the sentence needs to go.
Every claim. Models fill gaps confidently. A draft might turn "helped with the budget" into "managed a 2M budget" because that sounds like a good profile. Read each sentence and ask whether you could defend it to a former manager, because that person may well be the reference a recruiter calls.
Keep the CV and the profile telling one story
Recruiters often open both documents side by side. AI drafts make mismatches more likely, since a tool polishing your profile has no idea what your CV says. Job titles, dates, employer names and key figures should match exactly. If Lea's profile says "under 10 disputes" and her CV says "disputes cut by two-thirds", someone will ask which one is right.
The simplest routine is to treat one document as the master. Finish the profile first, then build the CV from it, which is what Postulit does when it turns a LinkedIn profile into a CV. Any inflated line you leave on the profile will travel with it, so the editing pass has to happen before that step. The wording can differ between the two, since a CV is usually tighter and tailored to one role, as long as the underlying facts stay the same.
A last pass before you save
Read the whole profile aloud, because stiff phrasing that slips past the eye tends to catch in the mouth. Then cover your name and ask whether a colleague in the same job could have written the text. Any sentence that could belong to them gets cut or replaced with something only you can say.
Check each figure against your fact sheet, compare titles and dates with your CV, and only then save. If you do one thing today, rewrite the first two lines of your About section around a single fact that nobody else could claim.