A candidate sends out thirty applications in two weeks, without any response. The problem does not always lie with the CV or experience: it is often the online job search method that falls short. Between the automated filters of recruitment platforms, sorting algorithms, and the proliferation of job offers, one can quickly go in circles without reaching the right recruiters.
Filtering by ATS and keywords: what your application goes through before being read
Before a recruiter sees your CV, an ATS (Applicant Tracking System) software scans it. This system ranks applications based on the match between the CV content and the job criteria. If your skills are phrased differently from what the tool expects, your profile goes under the radar.
This filter is often underestimated. In practical terms, you need to use the exact terms from the job offer in your CV: job title, technical skills, certifications. A generic CV sent to fifty companies is less likely to pass than a CV tailored to each job posting, even with the same background.
Resources like Liens Vers Emploi gather tools and platforms that facilitate this adaptation work by centralizing offers by sector and directing candidates to the right application channels.
Adapting each CV to the keywords of the targeted job offer remains the first high-impact action. You can also use generative AI to identify missing terms in a CV compared to a job description, provided you review and personalize the result.
Generative AI and job search: using prompts without delegating everything
AI tools (ChatGPT, Gemini, Copilot, Le Chat) can accelerate several steps: synthesizing a job offer to extract key skills, rephrasing a work experience, drafting a first version of a cover letter. But personalization remains what distinguishes a successful application from one that is ignored.
An effective prompt starts by providing precise context. You copy the complete job offer, add your CV, and then ask the tool to identify the gaps between the two. This approach yields much more actionable results than a simple “write me a cover letter.”
Three concrete uses of AI for an application
- Compare your CV to a specific job offer to spot missing keywords and necessary rephrasing before sending
- Generate a first version of the “info” section of your LinkedIn profile, incorporating the vocabulary of your target sector
- Prepare for an interview by asking the tool to simulate questions related to the position and the target company’s market
Feedback varies on the quality of AI-generated cover letters, depending on the sector and level of position. In any case, you should proofread, cut the superfluous, and add a concrete detail that only your experience can provide.
Candidates’ rights in the face of automated recruitment in France
When a company uses AI to sort or rank applications, the candidate has the right to be informed about the methods used. Article L1221-8 of the Labor Code imposes this transparency. The GDPR adds another layer: in the face of an exclusively automated decision, one can request human intervention and contest the result.
Since August 2, 2026, conversational systems must indicate their nature when a person interacts with them. If a chatbot asks you pre-selection questions on a recruitment site, it must state that it is AI.
European regulatory timeline and recruitment
The European regulation on AI classifies filtering, ranking, and evaluating applications among high-risk systems. Regulation (EU) 2026/1744, published on July 24, 2026, has postponed the application of this enhanced regime to December 2, 2027. Transparency obligations already exist, while technical requirements will arrive in a year.
For a candidate, the practical consequence is simple: if you receive an automated rejection without explanation, you have the right to ask on what criteria the decision was made. Few candidates exercise this right, even though it can reveal a bias or a configuration error.
LinkedIn profile and professional network: beyond the showcase
The majority of competitors focus on the profile photo and LinkedIn summary. This is a prerequisite, not a lever. What makes the difference on this platform is regular activity and targeted interactions with your network.
Commenting on posts in your sector, sharing feedback on a project, reacting to industry news: these actions increase the visibility of your profile to recruiters using LinkedIn Recruiter. The platform’s algorithm favors active profiles in search results.
Building a network that works for you
We are not talking about adding three hundred contacts in a week. The ground approach involves identifying target companies, spotting HR managers or operational managers, and then engaging in a conversation around a specific professional topic before mentioning your job search.
- Target companies in your sector and geographical area rather than casting a wide net across the entire market
- Send personalized messages that mention a concrete element of the contact’s activity (a project, an article, a recent announcement)
- Participate in online events or industry webinars to create natural touchpoints
A network of fifty relevant contacts is worth more than a thousand passive connections. Recruitment still largely relies on recommendations, even for positions posted on job offer platforms.
Online job searching is not just about browsing offers and sending CVs. Understanding how ATS works, leveraging AI as an optimization tool (not as a ghostwriter), knowing your rights against recruitment algorithms, and methodically activating your network: these four axes transform a passive search into a structured approach. The regulatory framework is evolving rapidly, and candidates who seize it gain a tangible advantage over those who endure automated sorting.
