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About this tool
Budget your 220-character LinkedIn headline across positioning segments and generate headline and About-section prompts for any AI model.
This builder divides LinkedIn's 220-character headline field into the positioning segments you choose — role, niche, proof, call to action — and writes an AI prompt that carries that exact character budget, your search keywords and your goal into the instruction. It also measures a draft headline against the limit and shows the opening characters that survive truncation in search results and comment threads. The same run produces a second prompt for the 2,600-character About section.
Open LinkedIn Headline Prompt Builder on AltFTool — it loads instantly in your browser.
Add your input to the workspace.
Adjust the options until the result looks right.
Copy or download the output and put it to work.
Budgets against LinkedIn's real 220-character headline and 2,600-character About maximums.
Shows which keywords land in the opening characters that readers see before the headline is cut off.
The prompt bans buzzwords like guru, rockstar and results-driven, and flags them in your draft.
220 characters. LinkedIn raised the member headline limit from 120 to 220 characters in 2020, and the field simply will not save text beyond that. The About section is separate and allows up to 2,600 characters.
Lead with the job title someone would type into search, then the niche or industry, then one concrete proof point. Recruiters search by title, so 'Product Manager | Fintech Payments | UPI success 88% to 96%' is found where 'Turning ideas into impact' is not.
No. The full 220 characters appear on your profile page, but search results, comment threads and connection requests show a shortened version, and how much is shown varies by device and screen width. Put the term you most want to be found for at the very start.
Check it first. Models routinely invent job titles, employers, certifications and metrics, so verify every claim against your real record — the prompt this tool generates explicitly tells the model to leave a bracketed blank rather than fabricate a number.