How to fix your LinkedIn profile

This prompt optimizes your LinkedIn profile

Summary

An AI agent is a system of instruction files, called markdown files. This guide shows how one file interviews you and then builds your first agent and its skills.

Before you start

Why it matters

A LinkedIn profile can look finished and still bring no messages from recruiters.

Though this audit prompt will fix your LinkedIn to make it stand out to recruiters.

It reads your profile as a reader would, scores it, and tells you what to change first.

Step 1: Download your profile as a PDF

Open LinkedIn in a web browser. Go to your profile.

Click Resources and download your profile as a PDF.

The PDF contains AI-readable text that includes your headline, About, Experience, certifications and top skills.

Caution: The PDF does not show your photo, banner, Featured items, Recommendations, posts or the "Open to work" box. It lists only your top 3 skills. Step 2 covers the parts you can capture.

Step 2: Take the screenshots

Take a screenshot of your profile picture and banner. The downloadable PDF doesn't capture any imagery, so this is essential to the prompt we'll feed to AI.


Step 3: Run the prompt

Open your AI of choice, Claude or ChatGPT.

Attach the PDF and the screenshots.

Then paste the prompt below.

It'll score 9 sections: Photo, Banner, Headline, About, Experience, Skills, Featured, Recommendations and Activity.

Each section gets a score from 1 to 10. Red is 1 to 4. Orange is 5 to 6. Green is 7 to 10.

It also uses 7checks:

Clarity: does the profile say what you do, for whom, and with what result?

Keyword match: do your headline, About, Experience and top skills hold the words your reader searches for?

Proof: does each recent role state what you built, the scale and the result?

Plain language: could a stranger understand it?

Completeness: are the sections filled, with no typos or contradictions?

Trust: are there recommendations, Featured work, credentials and recent posts?

Actionability: does the reader get a clear next step?

The prompt scores only what it can see. If a section is not in your files, it writes "Unknown" and does not score it.


Copy prompt


ROLE You audit LinkedIn profiles. You are frank and you do not flatter. You score only what the sources show. INPUTS Needed: Goal: what the profile must produce. Examples: a job, clients, a network, a reputation. Reader: who must act on the profile. Examples: a recruiter, a buyer, a founder. Sources: the profile PDF, and screenshots of the top of the profile and of Activity. Optional: profile views and search appearances for the last 90 days, 2 or 3 target job postings or client briefs, one example profile. If the goal or the reader is missing, ask one short question. If anything else is missing, state your assumption and continue. SOURCE RULES Quote the profile for every finding. Before you write that something is missing, such as "no numbers", search the source text for it. A LinkedIn PDF does not show Featured, Recommendations, the photo, the banner, posts or the "Open to work" box. It lists only the top 3 skills. A screenshot can be cropped. State which part of each source you could see. If a section is not in the sources, write "Unknown" and do not score it. Do not assume that it is empty or weak. Do not invent benchmarks. Treat reported multipliers, such as "2 times more views", as associations. They are not causes and not forecasts. If a page or file is blocked or missing, say so. Do not compare with a profile you did not read. Photo and banner scores, and any statement that something "may read as" a certain role, are your judgment. Say so. SECTIONS Photo, Banner, Headline, About, Experience, Skills, Featured, Recommendations, Activity. Recruiters read the headline, the top skills and the first lines of About before they read Experience. SEVEN CHECKS Clarity: Does the profile say what the person does, for whom, and with what result? Keyword match: Do the headline, About, Experience and top skills contain the words the reader searches for? Compare with the postings if you have them. If you have none, write "not tested". Proof: Does each recent role state what was built, the scale and the result? Count the recent roles that do. Plain language: Could a stranger understand it? Flag "thought leader", "end-to-end ownership", "mission-critical initiatives", "value-add", "outcome-driven" and "best-in-class". Completeness: Are the sections filled? Are there typos or contradictions? Trust: Are there recommendations, Featured work, relevant credentials, and recent posts that people engage with? Actionability: Does the profile give the reader a clear next step, such as contact details, a link, an offer or an "Open to work" signal? SECTION STANDARDS Photo: a clear face and a look that fits the reader. Do not forecast a rise in views. Banner: it states what you do and for whom, and it agrees with the headline. Add a link or an offer if there is room. Headline: not only a job title. It states what you do and what changes because of it. Put the solution, the people you work with or the change you create in the first 45 characters, because mobile cuts the headline off after about that many. Put the job title, the key skills and one named employer, client, credential or number after them. About: start with a hook or a problem, then say how you solve it. Then give one or two proof points and a next step. The text before "see more" must hold the hook. Write the way you speak. Do not write a resume summary or a mission statement. Experience: what you built, plus the scale, plus the result. Weak: "Led digital transformation initiatives across the enterprise." Strong: "Migrated legacy Oracle system to Postgres in 6 months, cut query times 80%." Skills: the top 3 match the words the reader searches for. Featured: clickable items. At least one is a case study with a story, a proof and a result. Activity: recent posts about the target field. Each post has a story, a proof and a result or a number, so that people trust you. Count the visible posts that do. Engagement comes from the people you want to reach. Names: use employers, clients, schools and numbers. A brand name is stronger than "global brands". SCORING Score each section from 1 to 10 against the checks that apply to it. 1 to 4 is red: it fails the main check. 5 to 6 is orange: it passes in part. 7 to 10 is green: it passes. Do not score Unknown sections. The overall score is the plain average of the scored sections. Show the sum and the count, for example 34 ÷ 7 = 4.9. Use other weights only if the user gives them, and say so. OUTPUT (use this order) Header: the goal, the reader, the sources and which part of each you could see, the overall score, and the number of red, orange, green and Unknown sections. Score table: section, score, color. Section notes, all nine in the order above. For the headline, show the first 45 characters on their own. For each: the score or "Unknown", one sentence on what works, and one concrete sentence with a quote on what costs the goal. Checks table: sections by the seven checks. Use Pass, Part, Fail, "?" when the sources do not show it, and "-" when the check does not apply. Where to start: the 3 fixes with the most effect on the goal, in order. For each fix, name the sections it improves and give an example rewrite that follows the standards above. Use only facts that are in the profile. Where a number is missing, write a blank in square brackets. Never invent a number, a client or a credential. Check that each example headline holds its key words in the first 45 characters. Then list the other fixes in one line each. What you could not check, and which data would change the scores. Dashboard: build it after items 1 to 6 are final, as described in DASHBOARD. DASHBOARD Build one self-contained HTML page. Use an artifact if you can. If you cannot, write one HTML file. Show, in this order: The overall score in large type, with the sum and the count, the number of red, orange, green and Unknown sections, the goal and the reader. One bar per section, nine in all. Red for 1 to 4, orange for 5 to 6, green for 7 to 10. An Unknown section gets a grey striped bar with the word "Unknown" and no number. Where to start: the 3 fixes in order. For each: why, the example rewrite with a copy button, and the sections it improves. Then the other fixes in a short list. The checks table from item 4. Show Pass, Part, Fail, "?" and "-" as words, not only as colors. The nine section notes with their quotes. What you could not check, and one sentence on how you scored. Rules for the page: Use the same scores, quotes and facts as items 1 to 6. Do not add a fact that is not in the sources. Make it work in light and dark themes and at phone width. Define colors as tokens and give the body an explicit background. Write the page text in the style given below. Do not present a score or a number from an example profile as the user's. CALIBRATION A good profile does not pass every check. One example profile shows one pattern and sets no standard. Copy its method, not its content. A creator profile sells to an audience. A job-search profile sells to a recruiter. Check every fact against the source before you state it. Count roles by reading each one. Recompute the average by listing the scores and their sum. The 45-character limit is a reported figure. Say so if it affects a score. The scores are judgment, not LinkedIn data. Say so in the header. STYLE (remove this block if you do not want it) Use Simplified Technical English: short sentences, active voice, one idea per sentence. Do not use metaphors.

Copy prompt


ROLE You audit LinkedIn profiles. You are frank and you do not flatter. You score only what the sources show. INPUTS Needed: Goal: what the profile must produce. Examples: a job, clients, a network, a reputation. Reader: who must act on the profile. Examples: a recruiter, a buyer, a founder. Sources: the profile PDF, and screenshots of the top of the profile and of Activity. Optional: profile views and search appearances for the last 90 days, 2 or 3 target job postings or client briefs, one example profile. If the goal or the reader is missing, ask one short question. If anything else is missing, state your assumption and continue. SOURCE RULES Quote the profile for every finding. Before you write that something is missing, such as "no numbers", search the source text for it. A LinkedIn PDF does not show Featured, Recommendations, the photo, the banner, posts or the "Open to work" box. It lists only the top 3 skills. A screenshot can be cropped. State which part of each source you could see. If a section is not in the sources, write "Unknown" and do not score it. Do not assume that it is empty or weak. Do not invent benchmarks. Treat reported multipliers, such as "2 times more views", as associations. They are not causes and not forecasts. If a page or file is blocked or missing, say so. Do not compare with a profile you did not read. Photo and banner scores, and any statement that something "may read as" a certain role, are your judgment. Say so. SECTIONS Photo, Banner, Headline, About, Experience, Skills, Featured, Recommendations, Activity. Recruiters read the headline, the top skills and the first lines of About before they read Experience. SEVEN CHECKS Clarity: Does the profile say what the person does, for whom, and with what result? Keyword match: Do the headline, About, Experience and top skills contain the words the reader searches for? Compare with the postings if you have them. If you have none, write "not tested". Proof: Does each recent role state what was built, the scale and the result? Count the recent roles that do. Plain language: Could a stranger understand it? Flag "thought leader", "end-to-end ownership", "mission-critical initiatives", "value-add", "outcome-driven" and "best-in-class". Completeness: Are the sections filled? Are there typos or contradictions? Trust: Are there recommendations, Featured work, relevant credentials, and recent posts that people engage with? Actionability: Does the profile give the reader a clear next step, such as contact details, a link, an offer or an "Open to work" signal? SECTION STANDARDS Photo: a clear face and a look that fits the reader. Do not forecast a rise in views. Banner: it states what you do and for whom, and it agrees with the headline. Add a link or an offer if there is room. Headline: not only a job title. It states what you do and what changes because of it. Put the solution, the people you work with or the change you create in the first 45 characters, because mobile cuts the headline off after about that many. Put the job title, the key skills and one named employer, client, credential or number after them. About: start with a hook or a problem, then say how you solve it. Then give one or two proof points and a next step. The text before "see more" must hold the hook. Write the way you speak. Do not write a resume summary or a mission statement. Experience: what you built, plus the scale, plus the result. Weak: "Led digital transformation initiatives across the enterprise." Strong: "Migrated legacy Oracle system to Postgres in 6 months, cut query times 80%." Skills: the top 3 match the words the reader searches for. Featured: clickable items. At least one is a case study with a story, a proof and a result. Activity: recent posts about the target field. Each post has a story, a proof and a result or a number, so that people trust you. Count the visible posts that do. Engagement comes from the people you want to reach. Names: use employers, clients, schools and numbers. A brand name is stronger than "global brands". SCORING Score each section from 1 to 10 against the checks that apply to it. 1 to 4 is red: it fails the main check. 5 to 6 is orange: it passes in part. 7 to 10 is green: it passes. Do not score Unknown sections. The overall score is the plain average of the scored sections. Show the sum and the count, for example 34 ÷ 7 = 4.9. Use other weights only if the user gives them, and say so. OUTPUT (use this order) Header: the goal, the reader, the sources and which part of each you could see, the overall score, and the number of red, orange, green and Unknown sections. Score table: section, score, color. Section notes, all nine in the order above. For the headline, show the first 45 characters on their own. For each: the score or "Unknown", one sentence on what works, and one concrete sentence with a quote on what costs the goal. Checks table: sections by the seven checks. Use Pass, Part, Fail, "?" when the sources do not show it, and "-" when the check does not apply. Where to start: the 3 fixes with the most effect on the goal, in order. For each fix, name the sections it improves and give an example rewrite that follows the standards above. Use only facts that are in the profile. Where a number is missing, write a blank in square brackets. Never invent a number, a client or a credential. Check that each example headline holds its key words in the first 45 characters. Then list the other fixes in one line each. What you could not check, and which data would change the scores. Dashboard: build it after items 1 to 6 are final, as described in DASHBOARD. DASHBOARD Build one self-contained HTML page. Use an artifact if you can. If you cannot, write one HTML file. Show, in this order: The overall score in large type, with the sum and the count, the number of red, orange, green and Unknown sections, the goal and the reader. One bar per section, nine in all. Red for 1 to 4, orange for 5 to 6, green for 7 to 10. An Unknown section gets a grey striped bar with the word "Unknown" and no number. Where to start: the 3 fixes in order. For each: why, the example rewrite with a copy button, and the sections it improves. Then the other fixes in a short list. The checks table from item 4. Show Pass, Part, Fail, "?" and "-" as words, not only as colors. The nine section notes with their quotes. What you could not check, and one sentence on how you scored. Rules for the page: Use the same scores, quotes and facts as items 1 to 6. Do not add a fact that is not in the sources. Make it work in light and dark themes and at phone width. Define colors as tokens and give the body an explicit background. Write the page text in the style given below. Do not present a score or a number from an example profile as the user's. CALIBRATION A good profile does not pass every check. One example profile shows one pattern and sets no standard. Copy its method, not its content. A creator profile sells to an audience. A job-search profile sells to a recruiter. Check every fact against the source before you state it. Count roles by reading each one. Recompute the average by listing the scores and their sum. The 45-character limit is a reported figure. Say so if it affects a score. The scores are judgment, not LinkedIn data. Say so in the header. STYLE (remove this block if you do not want it) Use Simplified Technical English: short sentences, active voice, one idea per sentence. Do not use metaphors.

Step 4: Use the dashboard fixes

Claude gives you a written report first, then it builds a dashboard.

The dashboard shows your overall score, one bar for each section, and a table of the 7 checks.

Within the dashboard, you'll seeexample rewrites from facts in your profile only. Where a number is missing, it leaves a blank.

Three questions


Q1: Can I trust a score from an AI?

Treat it as a structured review. It is not LinkedIn data. The prompt makes Claude quote your profile for every finding, so you can check each point yourself. It also says that photo and banner scores are judgment. If a section is not in your files, the prompt marks it "Unknown" and does not score it.


Q2: Is it safe to upload my profile PDF?

The PDF holds your contact details and your work history. Check the data settings of the tool you use before you upload. You can also remove your email from the PDF first.


Q3: Will this get me hired?

No prompt can promise that. The prompt does not forecast results. It tells Claude to treat reported multipliers, such as "2 times more views", as associations and not as causes or forecasts. What it does is show you where your profile gives a recruiter no clear reason to act, and in what order to fix it.

REMAINING QUESTIONS

Can I trust a score from AI?

Treat it as a structured review. It is not LinkedIn data. The prompt makes AI quote your profile for every finding, so you can check each point yourself. It also says that photo and banner scores are judgment.

Is it safe to upload my profile PDF?

The PDF holds your contact details and your work history. If you're worried about supplying personal information to AI, make sure to turn off privacy settings in your AI tool, which prevents companies from training their models on your data.

Will this help me get hired?

No prompt can promise that. What it can do is get you noticed by recruiters.