%PDF-1.4 %âãÏÓ 1 0 obj << /Type /Catalog /Pages 2 0 R >> endobj 2 0 obj << /Type /Pages /Count 4 /Kids [5 0 R 7 0 R 9 0 R 11 0 R] >> endobj 3 0 obj << /Type /Font /Subtype /Type1 /BaseFont /Helvetica >> endobj 4 0 obj << /Type /Font /Subtype /Type1 /BaseFont /Helvetica-Bold >> endobj 5 0 obj << /Type /Page /Parent 2 0 R /MediaBox [0 0 595.28 841.89] /Resources << /Font << /F1 3 0 R /F2 4 0 R >> >> /Contents 6 0 R >> endobj 6 0 obj << /Length 5620 >> stream BT /F2 22 Tf 0.06 0.08 0.12 rg 1 0 0 1 46 789.89 Tm (How AI Can Help You Optimise Your LinkedIn) Tj ET BT /F2 22 Tf 0.06 0.08 0.12 rg 1 0 0 1 46 762.89 Tm (Profile to Find Better Career Opportunities) Tj ET BT /F2 11 Tf 0.72 0.14 0.18 rg 1 0 0 1 46 725.89 Tm (TechRounder PDF Edition) Tj ET BT /F1 9.5 Tf 0.36 0.39 0.46 rg 1 0 0 1 46 709.89 Tm (Live article:) Tj ET BT /F1 9.5 Tf 0.36 0.39 0.46 rg 1 0 0 1 46 697.39 Tm (https://www.techrounder.com/ai/how-ai-can-help-you-optimise-your-linkedin-profile-to-find-better-career-opportuni) Tj ET BT /F1 9.5 Tf 0.36 0.39 0.46 rg 1 0 0 1 46 684.89 Tm (ties/) Tj ET q 0.82 0.85 0.9 RG 1 w 46 666.39 m 549.28 666.39 l S Q BT /F1 10 Tf 0.24 0.27 0.32 rg 1 0 0 1 46 654.39 Tm (By Vipin PG | Published July 22, 2026 | Updated July 22, 2026 | Format: Analysis | 6 min read) Tj ET BT /F2 13 Tf 0.72 0.14 0.18 rg 1 0 0 1 46 631.39 Tm (In brief) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 611.39 Tm (Recruiters don't scroll through LinkedIn profiles one by one anymore - an AI tool shortlists candidates) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 596.39 Tm (before a human ever sees your name. To get noticed, you need to write your profile in a way that AI) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 581.39 Tm (can understand \(clear skills, real results, natural language\) while still sounding like a real person. Use) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 566.39 Tm (AI tools to find the gaps in your profile, then rewrite everything in your own words so it doesn't read) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 551.39 Tm (like a machine wrote it.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 526.39 Tm (If you've updated your LinkedIn profile recently and haven't seen much change in recruiter messages) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 511.39 Tm (or profile views, there's a reason. LinkedIn's search system has changed a lot in the last couple of) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 496.39 Tm (years. It's no longer just matching words on your profile to words in a recruiter's search bar. It's) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 481.39 Tm (using AI to understand what you actually do, how good you are at it, and whether you're a genuine) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 466.39 Tm (match for a role - often before a recruiter even looks at your profile.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 444.39 Tm (This isn't bad news. If you understand how the system works, you can use it to your advantage - and) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 429.39 Tm (you can use AI tools yourself to write a profile that stands out for the right reasons. Here's what's) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 414.39 Tm (actually going on, and what to do about it.) Tj ET BT /F2 15 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 386.39 Tm (Keyword Stuffing Doesn't Work Anymore) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 362.39 Tm (A few years ago, the advice was simple: repeat your target job title and skills as many times as you) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 347.39 Tm (could across your profile. That trick doesn't work now.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 325.39 Tm (LinkedIn's search today looks at your profile more like a human would - it checks whether your skills) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 310.39 Tm (actually make sense together. If you say you know "Machine Learning" but your profile has no) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 295.39 Tm (mention of the tools or techniques someone in that field would normally use, the system treats that) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 280.39 Tm (claim as weak or unverified. It's looking for skills that naturally cluster together, not skills that stand) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 265.39 Tm (alone.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 243.39 Tm (In practice, this means:) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 221.39 Tm (- Don't just list a skill - show it in context. If you know Python, mention what you built with it.) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 204.59 Tm (- Group related skills together instead of scattering unrelated buzzwords across your profile.) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 187.79 Tm (- Back up every major skill in your Skills section with a real example somewhere in your About or) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 173.99 Tm (Experience section. If it's only mentioned once, it counts for less.) Tj ET BT /F2 15 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 151.19 Tm (There's an AI Recruiter Screening You Before a Human Does) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 127.19 Tm (LinkedIn now has an AI assistant built into its recruiter tools that does the first round of candidate) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 112.19 Tm (searching. Instead of typing keyword strings, recruiters simply describe who they're looking for in) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 97.19 Tm (plain language - for example, "a backend engineer with payments experience open to remote work.") Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 82.19 Tm (The AI takes it from there, searches the platform, and builds a shortlist.) Tj ET q 0.86 0.88 0.92 RG 1 w 46 42 m 549.28 42 l S Q BT /F1 8.4 Tf 0.42 0.45 0.5 rg 1 0 0 1 46 30 Tm (TechRounder | Page 1 of 4) Tj ET BT /F1 7.2 Tf 0.42 0.45 0.5 rg 1 0 0 1 46 19 Tm (https://www.techrounder.com/pdf/blog/how-ai-can-help-you-optimise-your-linkedin-profile-to-find-better-career-opportunities.pdf) Tj ET endstream endobj 7 0 obj << /Type /Page /Parent 2 0 R /MediaBox [0 0 595.28 841.89] /Resources << /Font << /F1 3 0 R /F2 4 0 R >> >> /Contents 8 0 R >> endobj 8 0 obj << /Length 5111 >> stream BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 789.89 Tm (This has made recruiters far more efficient - some are reviewing far fewer profiles per role while) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 774.89 Tm (still finding stronger matches. But it also means the first "reader" of your profile is an algorithm, not) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 759.89 Tm (a person. If your profile isn't written clearly enough for the AI to understand what you do, you may) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 744.89 Tm (never make it to the shortlist a human actually sees.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 722.89 Tm (One thing that genuinely helps here: verification. Profiles with a verified workplace email or ID) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 707.89 Tm (verification badge tend to get noticed more, simply because recruiters trust them more in a market) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 692.89 Tm (where fake or AI-generated profiles have become common. If you haven't verified your profile yet,) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 677.89 Tm (it's a small task worth doing.) Tj ET BT /F2 15 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 649.89 Tm (The Five Parts of Your Profile That Actually Matter) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 625.89 Tm (Not every section of your LinkedIn profile carries equal weight. These five matter most - in this) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 610.89 Tm (order.) Tj ET BT /F2 13 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 582.89 Tm (1. Your Headline) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 560.89 Tm (This is the single most important line on your profile. Skip generic titles like "Passionate Marketing) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 545.89 Tm (Professional" - they tell the algorithm nothing useful. Instead, structure it as: your role, your core) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 530.89 Tm (skills or specialisation, and one measurable achievement. For example:) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 508.89 Tm ("Senior Project Manager | Agile & Scrum Certified | IT Infrastructure Scaling | Led $5M Cloud) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 493.89 Tm (Migration") Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 471.89 Tm (This does two things at once - it gives the algorithm exact terms to match you against, and it tells a) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 456.89 Tm (human recruiter what you're good at in a few seconds.) Tj ET BT /F2 13 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 428.89 Tm (2. Your About Section) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 406.89 Tm (Only the first two to three lines show before someone has to click "see more" - so don't waste that) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 391.89 Tm (space on a generic opening. Start with your strongest, most specific achievement or the exact problem) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 376.89 Tm (you solve. Then explain what you do, the tools you use, and what kind of opportunity you're looking) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 361.89 Tm (for. End with a short list of your core skills so it's easy to scan.) Tj ET BT /F2 13 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 333.89 Tm (3. Your Experience Section) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 311.89 Tm (This is where the algorithm checks if your claimed skills are actually real. Don't just list your) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 296.89 Tm (responsibilities - show the result. A simple way to do this is to describe the problem you faced, what) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 281.89 Tm (you did about it, and what happened because of it. For example, instead of "Responsible for marketing) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 266.89 Tm (campaigns," write something like "Rebuilt our lead-gen funnel after tracking broke down post-cookie) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 251.89 Tm (changes, cutting cost-per-lead by 31%." Specific numbers and real outcomes carry far more weight) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 236.89 Tm (than job-description-style bullet points.) Tj ET BT /F2 13 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 208.89 Tm (4. Your Skills Section) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 186.89 Tm (List skills that logically belong together, and get them validated where you can - through LinkedIn's) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 171.89 Tm (skill assessments or endorsements from colleagues. A skill nobody has endorsed and that doesn't) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 156.89 Tm (show up anywhere else on your profile looks unverified to the algorithm.) Tj ET BT /F2 13 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 128.89 Tm (5. Staying Active) Tj ET q 0.86 0.88 0.92 RG 1 w 46 42 m 549.28 42 l S Q BT /F1 8.4 Tf 0.42 0.45 0.5 rg 1 0 0 1 46 30 Tm (TechRounder | Page 2 of 4) Tj ET BT /F1 7.2 Tf 0.42 0.45 0.5 rg 1 0 0 1 46 19 Tm (https://www.techrounder.com/pdf/blog/how-ai-can-help-you-optimise-your-linkedin-profile-to-find-better-career-opportunities.pdf) Tj ET endstream endobj 9 0 obj << /Type /Page /Parent 2 0 R /MediaBox [0 0 595.28 841.89] /Resources << /Font << /F1 3 0 R /F2 4 0 R >> >> /Contents 10 0 R >> endobj 10 0 obj << /Length 6275 >> stream BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 789.89 Tm (A well-written profile that never gets touched will slowly lose visibility. LinkedIn tracks how active you) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 774.89 Tm (are - commenting on posts, sharing articles, growing your network - as a sign that you're reachable) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 759.89 Tm (and engaged. You don't need to post constantly; occasional, relevant activity is enough to keep your) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 744.89 Tm (profile from going quiet in search results. And if you're job hunting, make sure "Open to Work" is) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 729.89 Tm (switched on in the recruiter-only setting, since it puts you in front of people actively searching.) Tj ET BT /F2 15 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 701.89 Tm (Can AI Tools Actually Help You Write a Better Profile?) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 677.89 Tm (Yes - and this is where AI is genuinely useful for job seekers, not just recruiters. A number of tools) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 662.89 Tm (exist specifically to compare your profile against real job descriptions and point out what's missing.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 647.89 Tm (Tools like Jobscan and Teal, for instance, scan a target job posting and your profile side by side, then) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 632.89 Tm (flag the specific skills or terms the job wants that your profile doesn't currently have.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 617.89 Tm (Browser-based tools like Careerflow go a step further, sitting directly on top of your live LinkedIn) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 602.89 Tm (page and scoring it for completeness.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 580.89 Tm (General AI chat tools can also help you draft or rework sections of your profile - but they work far) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 565.89 Tm (better when you give them a clear, specific instruction rather than a vague one. Instead of asking an AI) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 550.89 Tm (to "write me a LinkedIn summary," try giving it your actual achievements, a real job description) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 535.89 Tm (you're targeting, and a clear format to follow. The more specific the input, the less generic the output.) Tj ET BT /F2 15 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 507.89 Tm (The One Mistake That Can Actually Cost You the Job) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 483.89 Tm (Here's the part most people miss: getting past the algorithm is only half the battle. If your profile) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 468.89 Tm (reads like it was clearly written by AI, it can actually hurt you with human recruiters. A large share of) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 453.89 Tm (employers now actively screen for AI-generated writing, and profiles or resumes that look obviously) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 438.89 Tm (machine-written are frequently rejected - even if they're technically well optimised.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 416.89 Tm (There are a few tell-tale signs recruiters have learned to spot:) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 394.89 Tm (- Suspiciously round numbers - "increased revenue by 50%" reads as generic. Real results are usually) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 381.09 Tm (uneven, like 43% or a specific rupee/dollar figure.) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 364.29 Tm (- Overuse of dramatic action verbs - every sentence starting with words like "Spearheaded" or) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 350.49 Tm ("Orchestrated" starts to feel repetitive fast.) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 333.69 Tm (- Every sentence sounds the same length and rhythm - real writing has variation; a few short, punchy lines) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 319.89 Tm (mixed with longer ones read more naturally.) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 303.09 Tm (- No specific details - vague phrases like "significant growth" without naming the actual project, tool, or) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 289.29 Tm (team involved.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 272.49 Tm (The fix is simple, even if it takes a little extra effort: after you use AI to draft or improve a section, go) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 257.49 Tm (back and add in the specific, slightly messy details only you would know - the actual project name, the) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 242.49 Tm (real number, the specific tool or client type. That one step is often what separates a profile that gets) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 227.49 Tm (noticed from one that quietly gets passed over.) Tj ET BT /F2 15 Tf 0.08 0.1 0.14 rg 1 0 0 1 46 199.49 Tm (Quick Recap) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 175.49 Tm (- Group related skills together instead of listing them in isolation.) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 158.69 Tm (- Rewrite your headline using: role + key skills + one measurable result.) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 141.89 Tm (- Front-load your About section with your strongest point - you only get a couple of lines before it gets cut) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 128.09 Tm (off.) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 111.29 Tm (- In your Experience section, show the result of your work, not just your job duties.) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 94.49 Tm (- Get your skills endorsed or verified where possible.) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 77.69 Tm (- Stay a little active on LinkedIn - occasional engagement keeps your profile visible.) Tj ET q 0.86 0.88 0.92 RG 1 w 46 42 m 549.28 42 l S Q BT /F1 8.4 Tf 0.42 0.45 0.5 rg 1 0 0 1 46 30 Tm (TechRounder | Page 3 of 4) Tj ET BT /F1 7.2 Tf 0.42 0.45 0.5 rg 1 0 0 1 46 19 Tm (https://www.techrounder.com/pdf/blog/how-ai-can-help-you-optimise-your-linkedin-profile-to-find-better-career-opportunities.pdf) Tj ET endstream endobj 11 0 obj << /Type /Page /Parent 2 0 R /MediaBox [0 0 595.28 841.89] /Resources << /Font << /F1 3 0 R /F2 4 0 R >> >> /Contents 12 0 R >> endobj 12 0 obj << /Length 1016 >> stream BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 789.89 Tm (- Use AI tools to find gaps against real job descriptions, but always edit the final text yourself so it sounds) Tj ET BT /F1 10.5 Tf 0.2 0.23 0.28 rg 1 0 0 1 46 776.09 Tm (like you.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 759.29 Tm (LinkedIn optimisation in 2026 isn't about gaming an algorithm anymore - it's about writing a profile) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 744.29 Tm (that's genuinely clear enough for a machine to understand and genuine enough for a person to trust.) Tj ET BT /F1 11 Tf 0.14 0.16 0.2 rg 1 0 0 1 46 729.29 Tm (Get both right, and you're in a much smaller, much stronger pool of candidates.) Tj ET q 0.86 0.88 0.92 RG 1 w 46 42 m 549.28 42 l S Q BT /F1 8.4 Tf 0.42 0.45 0.5 rg 1 0 0 1 46 30 Tm (TechRounder | Page 4 of 4) Tj ET BT /F1 7.2 Tf 0.42 0.45 0.5 rg 1 0 0 1 46 19 Tm (https://www.techrounder.com/pdf/blog/how-ai-can-help-you-optimise-your-linkedin-profile-to-find-better-career-opportunities.pdf) Tj ET endstream endobj xref 0 13 0000000000 65535 f 0000000015 00000 n 0000000064 00000 n 0000000140 00000 n 0000000210 00000 n 0000000285 00000 n 0000000427 00000 n 0000006098 00000 n 0000006240 00000 n 0000011402 00000 n 0000011545 00000 n 0000017872 00000 n 0000018016 00000 n trailer << /Size 13 /Root 1 0 R >> startxref 19084 %%EOF