You've been applying. You've been tweaking. And still – silence. No recruiter calls, no screening invites, no explanation. If you have 5 to 15 years of experience and your response rate has cratered, the problem almost certainly isn't your qualifications. It's that AI-powered screening tools are filtering you out before a human ever reads your name. This guide is built for mid-career professionals who are done guessing and ready to fix the actual problem. It walks you through a structured diagnostic to identify exactly where in the AI-screened hiring funnel you're disappearing – then gives you a systematic, section-by-section plan to fix it: your resume's formatting and structure, the keyword logic AI scorers are using against you, your LinkedIn profile's algorithmic visibility, how to reframe older experience so it reads as current and relevant, and how to perform in AI-mediated first-round interviews that most candidates don't even realize are being scored. This isn't a collection of generic resume tips. It's a complete rewrite methodology built specifically for the two-layer screening reality most mid-career professionals are now facing – legacy ATS parsing on one side, LLM semantic scoring on the other – plus the LinkedIn algorithm and async video interview platforms that sit on top of both. Every section includes worked examples, before-and-after rewrites, fill-in-the-blank templates, and a common-mistakes checklist so you know exactly what to change and why. The playbook closes with a 30-day sequenced action plan that tells you what to fix first, what to fix second, and how to measure whether it's working – with explicit decision rules for when to iterate versus when to move on.