CV vs. LinkedIn: do you still need both?

This is an updated and expanded version of the very first article I published in this newsletter, four years ago, written in German. A lot has changed since then, most notably the arrival of AI tools that have genuinely shifted how job seekers approach their CVs and LinkedIn presence. The core question, however, remains exactly the same, and it still comes up in almost every career conversation I have.

The short answer is yes, you need both, and the gap between them matters more than ever.

Some people assume that a strong LinkedIn profile makes a CV redundant. If you can apply for a role with a single click, why bother maintaining a separate document? Because they serve fundamentally different purposes, and confusing the two will cost you opportunities at exactly the moment you can least afford it.

Two tools, two jobs

Your LinkedIn profile is a living, public-facing narrative. It builds your personal brand, signals your expertise to people who were not actively looking for you, and invites the kind of connections that lead to conversations you never expected. It is always on, always discoverable, and always speaking for you in rooms you are not in. Think of it less as a document and more as a presence.

Your CV is a precision instrument. It is written for one company, one role, one hiring manager. It answers a specific question: why you are the right person for this particular position. Sending a generic CV to eight different companies is not a CV strategy. It is noise. The discipline of tailoring forces you to think clearly about what actually matters for each role, and that clarity comes through in everything, including the interview. Recruiters notice the difference between a candidate who has clearly read the job description and one who has simply pressed send.

Where AI changes the game

This is where things look very different compared to four years ago, and where most candidates are still leaving significant value on the table.

AI tools have made it considerably easier to tailor your CV without starting from scratch every time. Tools like ChatGPT, Claude, or specialised platforms like Kickresume and Teal allow you to paste in a job description and get specific suggestions for reframing your experience to match the language and priorities of that role. Used well, this is not about fabrication. It is about translation, making sure the skills you genuinely have are described in the terms the hiring manager is actually looking for. The underlying experience does not change. The framing does, and framing matters enormously.

ATS (Applicant Tracking Systems) screening is another area where awareness of AI pays off. Most large companies filter CVs automatically before a human ever sees them. Understanding which keywords matter for a given role and ensuring they appear naturally in your CV has become a basic competency for any serious job seeker. AI tools can now audit your CV against a job posting and flag gaps in seconds. That used to take hours of careful reading and comparison. Now it takes minutes, which means there is really no excuse for sending a mismatched application.

On LinkedIn, the platform's AI features are evolving quickly. The AI-assisted profile writing suggestions, job match scoring, and InMail drafting tools are worth experimenting with, though they work best when you treat the output as a starting point rather than a finished product. Your voice and your specificity are what make a profile memorable and worth reading. AI can help you structure your thinking and overcome the blank page, but it cannot replace the detail and authenticity that comes from knowing your own work deeply. The best profiles feel like a person wrote them, because fundamentally, a person did.

Structure over length

Front-load everything that matters. Hiring managers do not spend too much time on an initial scan, and that scan starts at the top. If your most relevant experience, your strongest result, or your clearest signal of fit is buried halfway down the document, it will not be read. The first half of your CV is the only half you can count on. Design it accordingly, and treat every line above the fold as premium space. Ask yourself: if a recruiter read only the top third of this page, would they immediately understand why I am a strong candidate?

Page count is the wrong metric entirely. A two-page CV full of padding is worse than a dense, well-structured single page, and a longer CV that earns every line is better than an artificially compressed one that buries your most important work at the bottom. The real question is never how long, but what earns its place and where it sits. If you find yourself spending time worrying about fitting everything onto two pages, you are optimising for the wrong thing.

Match the tone to the context

Every company has a distinct culture, and your CV language should reflect that. A fintech startup and a global pharmaceutical company are not looking for the same kind of voice, the same framing, or even the same definition of impact. The company's website, its LinkedIn presence, and the style of the job posting itself will all give you strong signals about what kind of candidate they are imagining. Pay attention to them and let that shape how you present yourself, not who you are, but how you communicate it.

The same principle applies to LinkedIn, though in a slightly different direction. Your profile needs to work for a broader and less predictable audience, so the tone tends to sit somewhere between your most formal and most conversational registers. Consistency matters here, not in the sense of copying your CV word for word, but in making sure the story holds together and does not contradict itself across both.

The honest answer

Neither tool is going away. What is changing is how much leverage a thoughtful candidate can get from each of them, especially as AI lowers the cost of the tailoring work that most people simply did not bother doing four years ago. The candidates who treat their CV as a living document, specific, current, and deliberately matched to each opportunity, will consistently outperform those who treat it as a one-time task filed away after the last job search.

I am curious how much has changed in your own approach since you last actively job-searched. Are you using any AI tools in the process, and what has actually made a difference?

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