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Upload your CV, click on any job listing, get a tailored cover letter and CV suggestions in 30 seconds. Stop writing generic cover letters. ApplyAI reads the job description and your CV, then generates a perfectly tailored cover letter in 30 seconds. **How it works:** 1. Upload your CV once (stored locally in your browser — never on our servers) 2. Navigate to any job listing on LinkedIn, Indeed, Reed, Totaljobs, or Glassdoor 3. Click the ApplyAI icon and hit Generate 4. Get a tailored cover letter and specific CV improvement suggestions **Features:** ✨ Genuinely tailored cover letters — not generic templates 📝 5 specific, actionable CV suggestions for each role 🔒 Privacy-first — your CV stays in your browser ⚡ 30-second generation time 📋 One-click copy to clipboard 🎨 Custom template support — match your preferred format and tone 🧠 Style memory — learns your writing style over time 🇬🇧 UK-optimised with support for Reed, Totaljobs, and CV-Library **Supported job boards:** • LinkedIn • Indeed • Reed • Totaljobs • Glassdoor • Any page with a job description **Pricing:** • Free: 3 generations per day (no sign-up required) • Premium: £10/month for unlimited generations **Privacy:** Your CV is stored locally in Chrome's built-in storage. It's only sent (encrypted via HTTPS) when you click Generate — and never stored on our servers. We don't track your browsing, create accounts, or sell data. Powered by Claude AI. Built by a physics student tired of writing cover letters.
Apr 6, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.