Questions, answered.

You can create or import resumes, tailor them for specific jobs, score them for ATS alignment, discover matching roles, and track every application in one workflow. The goal is to reduce manual work while making each application more targeted. Instead of juggling many tools, you can manage resume quality, job search, and pipeline progress in one place.

No. It works for recent graduates, career changers, mid-level professionals, and senior candidates. The same workflow can be adapted for different goals by changing resume versions, search filters, and tailoring prompts. If your target role changes, you can keep separate versions without starting over.

Start with one baseline resume, run scoring against a real job description, and apply the highest-impact fixes first. Then create a second role-specific variant and compare results. This gives you a practical loop: score, improve, tailor, apply, and track outcomes.

No. It improves your application quality and helps you get through resume screening, but it does not replace networking, referrals, or interview preparation. Use it as a force multiplier for the parts of the search that are usually repetitive and difficult to measure.

Yes. You can start with a blank resume, use templates, or upload an existing resume to edit and optimize. This makes it easy to migrate from your current documents without losing prior work. You can also keep refining imported resumes instead of rebuilding them manually.

You can typically edit core sections such as summary, experience, skills, education, projects, certifications, and custom blocks. The editor is designed so you can quickly adjust structure and wording for different roles. This makes it practical to maintain targeted versions for different job families.

Yes. Maintaining multiple versions is recommended when you apply to distinct role types, seniority levels, or industries. Nuralto supports version-based workflows so you can test which profile performs best for each job category. This helps avoid over-generalized resumes that underperform.

Yes. You can export finalized resumes and submit them through employer portals. Before exporting, run one last ATS and match review to catch formatting issues and missing requirements. This final check often improves consistency across applications.

AI can rewrite bullets, strengthen action verbs, align phrasing with job requirements, and emphasize measurable results. It is intended to improve clarity and relevance, not to invent experience. You still approve changes before using them in applications.

A job URL is ideal because it gives the system direct context, but it is not always required. You can also paste a job description or provide a clear role brief. The more specific your input, the better the resulting customization quality.

Treat AI suggestions as drafts and keep only changes you can defend in an interview. Prioritize truthful, specific statements over dense keyword repetition. Strong ATS alignment comes from relevant evidence, not from forcing every term into the document.

Yes. The workflow is built around review and approval so you remain in control of final wording. You can compare alternatives, keep what improves fit, and reject edits that do not match your experience. This keeps your resume accurate and interview-ready.

As a practical benchmark, aim for strong alignment rather than chasing a perfect number. A higher score is useful only when it reflects real fit and clear evidence in your resume. Improve the biggest gaps first, then re-run scoring after each revision cycle.

Each ATS implementation differs, but most evaluate similar fundamentals: relevant keywords, role alignment, readable structure, and evidence of required skills. Nuralto focuses on these shared patterns so you can improve portability across employers. It does not claim to replicate one company exact algorithm.

A high score improves screening odds, but hiring outcomes also depend on competition, referrals, timing, headcount changes, and interview performance. Use the score as a quality indicator, not a guarantee. Combine resume optimization with targeted applications and stronger outreach.

Typical issues include vague bullet points, missing role-specific skills, weak evidence of impact, and formatting that is hard to parse. Another blocker is using a single generic resume for very different roles. The best fix is role-specific tailoring with clear, measurable accomplishments.

Profile Hub is your career knowledge base. You connect professional sources — LinkedIn, GitHub, publications, blogs, forums, or manual entries — and Nuralto ingests them into one synthesized profile. That profile then powers job targeting, content drafts, preparation reports, and company outreach, all grounded in your real history.

You can add your LinkedIn profile, GitHub account, publications (found by author name or DOI), blogs with auto-detected RSS, forum threads, and manual entries. Each source shows its ingestion status, and you can refresh it any time so everything downstream works from your latest information.

Understanding is an AI-synthesized view of who you are professionally — your positioning and strengths — built strictly from your connected sources. Suggestions are discoveries from the web matched to that profile. Every suggestion links to a real retrieved source, so recommendations are grounded rather than fabricated.

The job titles you select tell Nuralto exactly which roles to hunt. They drive more targeted, more frequent scraping beyond the broad daily sweep, and Job Discover lets you run a fresh LinkedIn search for your titles and locations on demand — instead of waiting for the next scheduled run.

Drafts generates posts, wikis, and articles in your voice, grounded in your sources — every citation is real and verifiable. You get three variants per topic along with quality signals, so you can pick the strongest version and publish with confidence.

CV Review grades your resume across multiple axes and produces a rewrite-ready action plan for every section. You get a score out of 100, and you can jump straight into the editor to apply the suggested fixes.

LinkedIn Review scores your public profile the way a recruiter would scan it, then gives rewrite-ready fixes for weak sections. You can copy the rewritten versions directly and re-run the analysis as your profile improves.

Career Diagnosis shows your market position grounded in real, live job data — not generic industry advice. It maps how your selected job titles and experience line up with what employers are actually posting right now.

Company Match starts from your positioning — who you are, framed for outreach — and ranks target companies into tiers, from highest-fit priorities to adjacent opportunities worth selective pursuit. You can then generate personalized outreach drafts and track every contact through a pipeline, from first touch to response.

Yes. You can discover roles and review matches without manually switching between many tabs and spreadsheets. This speeds up prioritization because matching context is available where you search. You can then move promising roles directly into your tracked pipeline.

Yes. Discovery and alert workflows support focused filters so you can avoid broad, noisy result sets. Tight filters usually improve relevance and save significant time each week. You can adjust them as your search strategy evolves.

Use exact mode when you know the precise title you want. Use broad mode when you want adjacent titles and variants. Use smart mode when you want semantic expansion that captures related opportunities you may not have typed directly.

Yes. You can define alert rules and receive updates based on your filters. This helps you apply earlier and maintain consistent pipeline volume. For best results, create separate alerts for each resume strategy or target role cluster.

You can track each application stage, maintain notes, and keep context like job links or preparation details. This avoids losing momentum across dozens of active applications. It also makes follow-up timing and prioritization much clearer.

Yes. You can add opportunities manually when they come from referrals, company career pages, or recruiter outreach. This keeps your pipeline complete in one place, even when the source is outside your normal search flow.

Yes. A strong workflow is to store the job in the tracker, tailor the resume for that role, then update status as you progress. This creates traceability between resume version and application outcome. Over time, it helps you identify which strategies produce interviews.

Review conversion points such as saved to applied and applied to interview. If interview conversion is low, iterate on role targeting and resume evidence. If apply volume is low, tighten discovery filters and alert cadence to keep your pipeline healthy.

Resume data is used to provide scoring, matching, and customization features inside your account workflow. You should still follow good security hygiene and avoid sharing sensitive personal identifiers that are not needed for applications. For policy-level details, review the privacy policy page.

Yes, you can remove resumes and account content from your workspace controls. If you are doing a full cleanup, export what you need first and then delete the rest. This gives you ownership of your materials while maintaining flexibility.

Plans typically differ by usage limits, advanced workflow capacity, and higher-volume features. The pricing page is the source of truth for current limits and plan details. If you are actively applying at scale, compare quotas before committing.

Use the feedback area in the product for bugs, requests, or workflow issues. Include steps to reproduce and the specific page or action involved so issues can be resolved faster. Clear reports usually lead to faster fixes and better product improvements.