+ Most complete scoring breakdown with fact-based revision guidance.
- It speculates about the gap and LinkedIn score and runs somewhat long.
## ATS Resume Scanner Simulator (Hardened v2.0 - "Reasoned Logic" Edition) **Author:** Scott M **Last Updated:** 2026-03-14 ## CHANGELOG - v2.0: Added
| Category | Job search › Resume |
|---|---|
| Tags | AnalyzingReviewingJob seekerChecklist |
## ATS Resume Scanner Simulator (Hardened v2.0 - "Reasoned Logic" Edition) **Author:** Scott M **Last Updated:** 2026-03-14 ## CHANGELOG - v2.0: Added Chain-of-Thought reasoning block. Added Negative Constraints (Zero-Synonym rule). Added Multi-Persona audit (Bot vs. Recruiter). - v1.9: Added Exact-Match Title rule. Added Synonym-Trap check. - v1.8: Added AI Stealth check. Added PDF font integrity. ## GOAL Simulate a high-accuracy legacy ATS. **Constraint:** Do NOT be "nice." If it isn't an exact match, it is a failure. Use multi-step reasoning to ensure score accuracy. --- ## EXECUTION STEPS ### Step 1: Internal Reasoning (Hidden/Pre-Analysis) *Before writing the output*, reason through these points: 1. **Extract:** What are the top 3 "must-haves" in the JD? 2. **Compare:** Does the resume have those *exact* phrases? (Apply Negative Constraint: Synonyms = 0 points). 3. **Format:** Is there a table or header that will likely "scramble" the text for a 2010-era parser? ### Step 2: Strategic Extraction - Identify 15–25 high-importance keywords. - Identify the "Target Job Title" from the JD. ### Step 3: The Multi-Persona Audit - **Persona A (The Legacy Bot):** Look for "Scanner Sinkers" (Tables, columns, headers, footers, non-standard bullets, image-PDF layers). - **Persona B (The Cynical Recruiter):** Look for "AI Fluff" (delve, tapestry, passion, visionary) and "Employment Gaps." ### Step 4: Knockout & Synonym Check - **Exact-Match Title:** Must match JD header exactly. - **Synonym-Trap:** Flag "Customer Success" if JD asks for "Account Management." - **Naked Acronyms:** Flag "PMP" if it's not spelled out. ### Step 5: Scoring Model (Strict Calculation) - **Exact Match Keywords (30%):** 0 points for synonyms. - **Knockout Compliance (20%):** -10% for each missing mandatory item. - **Formatting Integrity (15%):** -5% for each "Sinker" found. - **AI Stealth & Tone (15%):** Penalize generic AI-generated summaries. - **LinkedIn Alignment (10%)** - **Acronym & Spelling (10%)** --- ## MANDATORY OUTPUT FORMAT ### 1. REASONING LOGIC * Briefly explain why you gave the scores below based on the "Bot vs. Recruiter" audit.* ### 2. CORE METRICS * **ATS Match Score:** XX% * **AI Stealth Score:** XX/100 (Human-tone rating) * **Job Title Match:** [Pass/Fail] ### 3. THE "HIT LIST" * **Exact Keywords Matched:** (List 8–10) * **Synonym Traps (Fix These):** (e.g., Change "X" to "Y") * **Missing Must-Haves:** (Degree, Years, Certs) ### 4. TECHNICAL AUDIT * **Parseability Red Flags:** (List formatting errors) * **AI "Crutch" Words Found:** (List any "bot-speak" found) ### 5. OPTIMIZATION PLAN * (4–6 direct, non-fluff steps to hit 85%+) --- ## USER VARIABLES - **TARGET JD:** [Paste text/URL] - **RESUME:** [Paste text/File]
Useful for a strict ATS-style review of a resume against a job description. It includes exact-match keyword rules with no synonym credit and audits from both bot and recruiter perspectives.
Claude best follows the format and supports its scoring. Gemini is specific but risks embellishment, while ChatGPT is concise yet makes major exact-match errors.
+ Most complete scoring breakdown with fact-based revision guidance.
- It speculates about the gap and LinkedIn score and runs somewhat long.
+ Precisely identifies the table, title mismatch, and AI clichés.
- Its sample and title reframing could falsely imply five years of PM work.
+ Presents key disqualifiers and fixes concisely and clearly.
- It counts non-JD terms as matches and wrongly flags the Business degree.
| Criterion | ChatGPT | Claude | Gemini | Leader |
|---|---|---|---|---|
| Instruction following | 8 | 9 | 8 | Claude +13% |
| Accuracy | 6 | 8 | 7 | Claude +14% |
| Specificity | 8 | 9 | 9 | Tie |
| Structure | 9 | 9 | 9 | Tie |
| Right length | 9 | 7 | 8 | ChatGPT +13% |
Scored 1–10 by gpt-5.6-sol with model names hidden (2026-09-24). This is an AI review, not a measurement.
We gave three models the same input and copied their answers unedited. Each ran in its CLI (an agent harness), and answers in the ChatGPT or Claude apps or on the web may differ. Outputs are in Korean.
[Pasted material] TARGET JD: Senior Product Manager, Payments – Meridian Pay (Singapore, Hybrid) We are looking for a Senior Product Manager, Payments to own our cross-border payment roadmap. Requirements: - 5+ years of Product Management experience, ideally in fintech or payments - Bachelor's degree in Business, Computer Science, or related field - Proven track record shipping B2B SaaS products - Strong stakeholder management and data-driven decision making - PMP or CSPO certification is a plus Responsibilities: - Own the end-to-end roadmap for cross-border remittance features - Partner with Engineering, Design, and Compliance teams - Define and track KPIs for payment success rate and fraud reduction RESUME: Daniel Jung Seoul, South Korea | daniel.jung.pm@gmail.com | linkedin.com/in/danieljungpm Summary Passionate and visionary professional with a proven ability to delve into complex problems and deliver impactful results across the product tapestry. Experience Customer Success Manager, Payments Team — Finlytics Inc. (2021–2024) | Achievement | Metric | |---|---| | Reduced churn | 12% | | Improved NPS | +8 pts | - Led account management for enterprise clients - Collaborated with engineering on feature requests Associate PM, Mobile App — Finlytics Inc. (2019–2021) - Coordinated backlog grooming and sprint planning Education B.A. Business Administration, Yonsei University Certifications: PMP
5+ years of Product Management, B2B SaaS products 출시 경험, cross-border payment roadmap입니다. 이력서에는 세 문구가 정확히 일치하지 않습니다.Payments, engineering, account management, PMP 등 일부 키워드는 있으나 동의어는 점수로 인정하지 않았습니다.Customer Success Manager → Product Manager 또는 실제 수행 범위에 맞는 정확한 PM 직함Led account management → stakeholder managementfeature requests → cross-border remittance featuresImproved NPS → data-driven decision makingPMP → Project Management Professional (PMP)Achievement | Metric Markdown 표: 열 데이터가 뒤섞일 수 있음— 및 특수 구분기호 사용: 일부 구형 파서에서 분리 오류 가능Product Manager 역할과 담당 기간을 정확히 기재합니다.직함 | 회사 | 기간 및 표준 불릿 구조로 재작성합니다.현재 이력서는 Senior Product Manager, Payments 포지션 기준으로는 핵심 경력과 직함 불일치 때문에 85% 이상으로 올리기 어렵습니다.
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