GEO Content Optimizer

Remove signs of AI-generated writing from text. Use when editing or reviewing text to make it sound more natural and human-written. Based on Wikipedia's comprehensive "Signs of AI writing" guide. Detects and fixes patterns including: inflated symbolism, promotional language, superficial -ing analyses, vague attributions, em dash overuse, rule of three, AI vocabulary words, negative parallelisms, and excessive conjunctive phrases.

去除文本中的AI写作痕迹，让文字读起来更像人类写作。当用户要求'去AI味'、'降AI味'、'让回复更像人话'、'润色'、'改写得更自然'时使用。检测并修复：AI高频词汇、过度结构化、虚假客观性、机械化连接词、完美主义陷阱、公式化结尾、过度修饰、情感缺失等问题。

【零一数科·出品】视频号爆款短视频拆解（付费版：全能）。一键拆解爆款，把一条视频号视频拆成结构分段、爆款归因、六维评分和可借鉴策略，照着学照着抄。支持视频号分享链接和本地视频，付费全能版远端分析，1–5 分钟出 Markdown 报告。

去除文本中的 AI 生成痕迹。适用于编辑或审阅文本，使其听起来更自然、更像人类书写。 基于维基百科的"AI 写作特征"综合指南。检测并修复以下模式：夸大的象征意义、 宣传性语言、以 -ing 结尾的肤浅分析、模糊的归因、破折号过度使用、三段式法则、 AI 词汇、否定式排比、过多的连接性短语。

【零一数科·出品】视频号爆款文案生成（体验版）。免费免登录出脚本，给创作目的、行业、受众、选题就按爆款结构（Hook-中段-CTA、节奏标签）产出口播脚本，信息不全也能按爆款潜质兜底。本地运行、无需 Key，零成本上手。

【零一数科·出品】视频号爆款短视频拆解（免费版：需本地上传视频）。免费看视频拆爆款，把本地视频按视频号带货/流量逻辑拆成结构分段、脚本类型、爆款归因和六维评分报告，照着学照着抄。素材全程本地提取，不传视频不传帧，免登录免 Key；仅支持本地视频上传，暂不支持视频号链接。

Access 23 marketing modules offering checklists, frameworks, and ready-to-use deliverables for CRO, SEO, copywriting, analytics, launches, ads, and social me...

【零一数科·出品】：爆款内容预检。发前先测会不会违规、能不能爆、人群买不买——把发布从赌运气变成心里有底。视频号/公众号文案一键过三关：① 敏感词+广告法违禁词合规检测，命中词直接给替换建议；② 模拟目标人群真实观看反应与评论区原声；③ 爆款概率预测，逐维度打分说清依据。合规要准、爆款看依据，发出去前帮你把最后一道关。触发词：内容质检、敏感词检测、广告法检测、违禁词扫描、发布前审核、爆款预测、人群模拟。

Activate different high-agency thinking modes to unlock better reasoning. Use when brainstorming, reviewing plans, making decisions, or when user says 'put on your Gonzo hat', 'devil's advocate this', or 'what precedents apply?'

Break any problem down to fundamental truths, then rebuild solutions from atoms up. Use when user says "firstp", "first principles", "from scratch", "what are we assuming", "break this down", "atomic", "fundamental truth", "physics thinking", "Elon method", "bedrock", "ground up", "core problem", "strip away", or challenges assumptions about how things are done.

Uncover the real "job" customers hire your product to do. Goes beyond features to understand functional, emotional, and social motivations. Use when user says "jobs to be done", "jtbd", "why do customers", "what job", "customer motivation", "what problem", "user needs", "why do people buy".

Imagine the project already failed, then work backward to find why. More powerful than risk assessment because it assumes failure is certain. Use when user says "pre-mortem", "premortem", "imagine this failed", "what could go wrong", "risk analysis", "before we launch", "stress test", "what would kill this", "project risks".

Systematically borrow ideas from unrelated industries to solve problems. Innovation often comes from adjacent fields. Use when user says "cross-pollination", "how would X solve this", "borrow ideas from", "what can we learn from", "think outside the box", "how would Disney/Apple/Amazon do this", "different industry", "steal ideas".