Verified against ChatGPT · 2026-08-08
Write a LinkedIn headline that says what you actually do, not a stack of buzzwords
Generates several genuinely different headline options built around your actual positioning and target audience, each with a stated trade-off, instead of one templated buzzword string.
The prompt
Ready to copy — highlighted parts are example details you can swap.
Write me LinkedIn headline options. Most headline advice produces a string of separator-pipe buzzwords ("Growth | Strategy | Innovation") that says nothing specific — I want options that actually communicate something a real reader would act on.
WHAT I ACTUALLY DO
I design onboarding flows for B2B SaaS products, specifically the first-7-days experience that determines whether a trial converts.
HOW I WANT TO BE FOUND
I want recruiters searching for 'product designer onboarding' or 'UX activation' to find me, more than general 'product designer' search traffic.
CURRENT HEADLINE (if any)
Product Designer | UX | Growth | SaaS
WHO'S SEARCHING FOR SOMEONE LIKE ME
In-house recruiters and hiring managers at Series B-D SaaS companies filling a senior product design role.
Generate 4 headline options, each testing a genuinely different positioning angle rather than four rewordings of the same idea:
1. Role-and-outcome framing — leads with your function and the concrete result you produce.
2. Audience-first framing — leads with who you serve, useful if being found by that specific audience matters more than your title.
3. Specificity-over-breadth framing — narrows to your actual niche even if it sounds less impressive-sounding than a broader title would.
4. One option that deliberately breaks the "pipe-separated buzzwords" convention entirely and reads as one plain sentence.
For each option, stay within LinkedIn's 220-character limit, and after each one add a one-line note on what kind of searcher or reader it's optimized for and what it deliberately trades away.
WHAT NOT TO DO
Do not use vague nouns like "Innovator," "Thought Leader," "Change Agent," or "Synergy" in any option — these are the exact words that make headlines interchangeable and searchable-keyword-poor at the same time. Do not stack more than one job title with a slash unless I actually hold both roles concurrently right now.
End with your own recommendation of which option to use given what I said about how I want to be found, and why the others are worse fits for that specific goal rather than just worse in general.Customize
Optional — swap in your own details for the highlighted parts above.
Why this works
LinkedIn's own recruiter search tooling matches keywords in the headline field with real weight, which is exactly why the pipe-separated buzzword convention became common — but the specific words most people default to ("Innovator," "Thought Leader," "Synergy") are not terms recruiters actually type into a search bar, so the convention's form survives while its original keyword-matching function has been hollowed out by word choice. Generating four options built around genuinely different positioning logics, rather than four surface rewordings, forces the model to actually reason about the trade-off between searchability and impressiveness-sounding language instead of defaulting to one safe middle-ground answer that tries to please everyone and therefore optimizes for no one in particular. The audience-first framing option exists because most headline advice defaults to role-first framing without asking whether the person's actual goal is to be found by title-matching search versus by a specific type of reader recognizing themselves in the description — these produce structurally different headlines, and asking for both surfaces the trade-off explicitly rather than silently picking one. Naming the specific banned words directly, the same mechanism as the cover letter and About section prompts in this same batch, works better than "avoid buzzwords" as an instruction because GPT-5.1 can reliably suppress a named term but treats "buzzword" itself as a vague category it interprets inconsistently across separate generations. The closing recommendation, tied explicitly back to the stated search goal rather than a general "which is best," keeps the model from hedging with "it depends" as its final answer, which is a common failure mode when a model is asked to choose among its own generated options without a concrete goal to weigh them against.
What you get back
Option 2 (audience-first): 'Helping B2B SaaS teams fix the first 7 days of trial — before churn decides for you.' Trade-off: strong hook for a hiring manager who already has this exact problem, weaker for keyword search on 'Product Designer' broadly. Recommendation: given you said recruiters searching 'UX activation' matter more than broad title search, Option 3 (specificity-over-breadth) is the better fit — it contains the actual search term.
Verified against
ChatGPT GPT-5.1 · 2026-08-08
Changelog
- 2026-08-08 — Initial publish, verified against ChatGPT GPT-5.1.
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