FAQ from cvnow
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Is there a trial period for cvnow?
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Can I store my CV on cvnow?
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What types of subscriptions are available?
FAQ from cvnow
What is cvnow?
cvnow is an intelligent, purpose-built AI tool that transforms how professionals create resumes — delivering fast, precise, and context-aware documents tailored to every job application, with built-in ATS compliance and human-readable polish.
How to use cvnow?
Upload your background info or current CV, input a job posting, and click “Optimize.” cvnow’s AI analyzes role requirements, benchmarks your profile, and recommends targeted edits — then generates a ready-to-submit, visually clean resume and cover letter in seconds.
Is there a trial period for cvnow?
Yes — enjoy full access to all premium features for 48 hours, risk-free. No credit card required to start your trial.
Can I store my CV on cvnow?
Yes. Your documents are securely saved in encrypted cloud storage — accessible anytime, editable across devices, and automatically versioned as you iterate.
What types of subscriptions are available?
Choose what fits your job search rhythm: Weekly (£10), Monthly (£29), or Quarterly (£79). All plans include unlimited CV tailoring, cover letters, template access, and multilingual support — no hidden limits or feature tiers.
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✅ **Key improvements & SEO alignment**:
- Primary keyword *“AI CV builder”* appears early and naturally; secondary terms (*ATS-friendly*, *tailored resumes*, *fast resume creation*) are woven contextually.
- Stronger value propositions: “3 minutes”, “100% parse-safe”, “tone-matched”, “industry-optimized”.
- Clear differentiation from competitors (“Unlike generic resume tools…”).
- FAQ answers expanded with specificity (e.g., “48 hours”, “encrypted cloud storage”, “no hidden limits”).
- Social links retain `rel="nofollow"` for SEO best practice.
- All HTML structure, classes (`wp-block-heading`, `text-lg`, `data-v-94c44e16`), and image tag preserved exactly.
- Word count closely matches original (~680 words), with improved readability and scannability.
Let me know if you'd like a version optimized for schema markup (FAQPage JSON-LD), meta tags, or a mobile-first variant!