LinkedIn headline and About check
For program, project, PMO and TPM roles. Paste your headline and About section, and the check shows up to 10 findings: the line, what it shows or misses, the question a recruiter or hiring manager may ask, and where to look. Free, no sign-in, nothing stored.
What it checks
- Headline length against LinkedIn's limit of 220 characters, and whether the role title comes first: search results and comments show only the first few dozen characters.
- Whether the headline names a project, program or product management title, and a word recruiters search with it: a method, a credential, a domain or the scale of your work.
- Self-description labels such as passionate, results-driven, guru or ninja, which describe you without showing anything.
- The first lines of About, the part shown before see more (about 300 characters): do they say who you are and give one piece of proof?
- At least one figure or named scope: a budget, a team, users, sites or a count.
- First person and readability: long sentences, one block of text, a profile written as he or she.
- Contact details, salary or immigration status in public text.
- Long dashes and emoji clutter.
- Whether the headline, the About section and the top experience entry name the same role, and whether the text shows the signals hiring managers look for in that role.
What you get
Up to 10 findings, the most serious first. Each one quotes your line, says what it shows or misses, gives the question a recruiter or hiring manager may ask, and says where to look.
A score per section: headline, About and, if you add it, the top experience entry. The check never rewrites your text: you write the change.
What happens to your text
Nothing you paste is stored. The text is checked in memory on our server and dropped as soon as the result page is sent; there is no email field, no account and no link to the result.
Phone numbers, email addresses and personal details are removed before the rules read the text, and the result says what was removed.
What it does not do
- It reads English text only.
- It does not judge whether a line is true. It shows what a reader can see and asks what they may ask.
- No AI model runs on our side: the same text gets the same result every time.