How Long Will Your Job Last?
Assess job AI risk, plan career transition
How Long Will Your Job Last?
Assess job AI risk, plan career transition
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SaaS公司CEO职业寿命评估
AI岗位风险诊断报告
SaaS公司CEO职业寿命评估
AI岗位风险诊断报告
Description
Enter a job title to search the latest AI deployment data online and generate a structured AI exposure diagnostic report (Markdown + dark HTML). It breaks down tasks, scores exposure, estimates half-life, analyzes skill stack, and recommends transition paths. Each time is a fresh search, no history dependency.
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SEO+GEO Visibility Engine
Optimize the search performance and AI citation readiness of your articles, product pages, and landing pages. Quickly identify the issues most worth fixing, or get ready-to-use titles, rewrites, content briefs, technical fix lists, or performance retest plans. Four modes route tasks appropriately: send only a link or body copy for a quick diagnosis by default; request writing to get usable text first; use a full audit to break findings down by target engine and page; or use a performance retest with clearly defined data sources, numerators, denominators, and comparison conditions. Simple tasks do not require a full-length report. Supports platform-specific checks for Google AI Overviews / AI Mode, Bing / Copilot, ChatGPT Search, Perplexity, and Claude. Search, training, and user-triggered visits are assessed separately. For Chinese platforms, checks are adapted to actually available sources and direct observations rather than applying rules from other engines. v8 standardizes scoring and evidence criteria, limits the scope of local blocks, distinguishes answer trigger rate, conditional citation rate, and overall citation rate, and updates Google site-level AI control checks. Use it for your own websites, articles on third-party platforms, and unpublished drafts. Recommendations distinguish what you can change from items that require platform-side validation. Each key finding includes evidence or clearly stated limitations. Scores are provided when needed; data, authors, or citations are never fabricated, and rankings, indexing, or AI citations are not guaranteed. Actual run example (2026-09-07; test material, not business results) Title mode: Given test copy for “How to write a team weekly report” with a request to return only 3 titles, the actual output was: 1. How to Write a Team Weekly Report: Blank Template Included 2. Team Weekly Report Writing Guide: Progress, Issues, and Next Week’s Plan (Template Included) 3. Team Weekly Report Template: This Week’s Progress, Issues, and Next Week’s Plan Calculation mode: Simulated 12 attempts, with 10 successes and 2 timeouts; 2 successful runs generated AI answers, and 1 cited the target website. Actual output: AI answer trigger rate 2/10 = 20%, conditional citation rate 1/2 = 50%, and overall observed citation rate 1/10 = 10%. Normal no-answer cases remain in the overall denominator, while timeouts are listed separately. These figures validate the calculation criteria only and do not represent actual citation performance.
ResearchOffer Toolkit
A job search system backed by 10 years of experience at a major Silicon Valley company, packaging genuine hiring insights and job search methodologies into AI. Offer Toolkit | AI Job Search Assistant From "discovering your dream job" to "landing the offer," it breaks down the entire job search process into three smart modules: ① JD Decoder Deeply analyze the job description and generate a personalized Offer Strategy Report: - Whether it's worth applying - Role fit assessment - Core strengths and skill gaps - Interview focus and high-probability question predictions ② Resume Builder Transform your experience from a "job description" into a compelling impact story that recruiters recognize: - Automatically structure your personal experience - Optimize project descriptions and quantify achievements - Generate ATS-friendly, high-quality resumes - Supports 11+ print-ready professional templates ③ Behavioral Story Library Mine your real experiences to build reusable interview story assets: - Extract key projects and growth experiences - Automatically convert to STAR Framework - Build a personal Behavioral Interview Story Bank - Efficiently handle "Tell me about a time..." questions Whether you're debating "should I apply for this job," want to "optimize your resume," need to "analyze a JD," or are preparing for your next behavioral interview, Offer Toolkit will automatically identify your needs and route you to the most suitable AI module. Keywords: Job Search, Offer, Career, Job Hunt, JD, Job Description, Resume, CV, Behavioral Interview, STAR, Tell me about a time, Interview Preparation ------------------------------------- job-description-skill: Paste a JD and your resume, and you'll get an HTML report telling you: whether you should apply for this job, how well you match, what gaps exist, what the interview will likely ask, whether the salary is reasonable, and what to do in the next 6 weeks. resume-skill: Helps you polish your existing resume, import from LinkedIn, or write one from scratch through conversation. Provides 11 print-ready templates (Classic-ATS, Ledger, Tech Compact, Modern Sidebar, Pillar, Elegant Serif, Atelier, Timeline, Swiss, Executive, Color-block). Each time, it provides two files: one directly printable as PDF, and one you can edit by clicking words in the browser. bq-skill: It doesn't give you ready-made answers; instead, it helps you dig out things you've actually done and organize them into a reusable story library. It will ask about your experiences step by step, help you clarify your thinking using STAR/CAR, and tag them with labels like "decision-making" and "overcoming adversity." It saves one copy in Chinese and one in English, so you can use the same story for different behavioral questions next time. It can also look at a JD and predict 20 questions the company might ask, helping you prepare one by one. Three shared rules: 1. No fabrication. All experiences, responsibilities, and numbers come from what the user has actually said. It can help rephrase weak expressions, but it will never invent companies, positions, achievements, or quantified numbers. Numbers must be verified with the user. 2. Ask only one question at a time. Digging stories, building resumes, and preparing BQs are conversations, not questionnaires. 3. Structure first, then output. First convert to a standard data model, confirm it's correct, then render HTML or generate answers.
Resume Optimization & Visual
Users input their full resume and target job description, and receive in one go a resume diagnostic report, content optimization (with before/after comparison), multiple customized resume versions, layout beautification suggestions, and a job search toolkit. Finally, it generates a beautifully formatted visual resume webpage (previewable, downloadable, printable, and shareable), addressing issues like resume mismatch, lackluster appearance, and ATS filtering. It automatically identifies user categories such as fresh graduates, experienced hires, career changers, and executives, and adapts its strategy accordingly.
Information
- Version
- v4
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
