ai-cmoFind the best social media promotion spots for any product and generate platform-tailored engagement copy
Install via ClawdBot CLI:
clawdbot install xjouska/ai-cmoGrade Limited — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://www.aicmo.siteAudited Apr 16, 2026 · audit v1.0
Generated Oct 21, 2026
A solo founder launching a new SaaS product uses AI-CMO to analyze their landing page and get ranked Reddit threads, Product Hunt discussions, and Hacker News posts worth engaging. They use the platform-tailored suggested comments as starting points to write authentic replies during launch week.
A DTC brand wants organic visibility beyond paid ads, so it analyzes its product URL to find high-traffic Reddit and Quora threads where the product genuinely fits the conversation. The ranked list with risk levels and best timing helps the marketing team prioritize low-risk, high-exposure engagement windows.
A digital marketing agency managing multiple client products runs /analyze/csv for each client to produce downloadable CSV promotion target lists for batch processing. Account managers review the suggested comments and adapt tone per thread before clients post.
A dev-tools startup uses AI-CMO to identify Hacker News and Reddit r/programming threads discussing adjacent problems, then drafts technically credible replies using the suggested comment as scaffolding. The composite score and risk level help avoid overly promotional or spammy placements.
A creator launching an online course or info product analyzes the sales page to find YouTube comments, Twitter/X threads, and Reddit discussions where the course topic is relevant. Suggested comments are adapted to each platform's tone to drive early engagement.
AI-CMO charges a recurring subscription for API access backed by credit-based usage, where each /analyze call consumes one credit and quota is queryable via /quota. Users register an account, generate API keys, and pay for ongoing analysis volume.
Users sign up free and receive limited credits, then purchase additional credits or higher plans as their promotion research needs grow. The API key model makes it easy to gate usage and meter consumption per call.
The CSV and history export endpoints support agencies and resellers who need bulk promotion intelligence across many client products. Licensing the API to agencies or embedding it in marketing platforms creates higher-value B2B contracts.
💬 Integration Tip
Set your HTTP client timeout to at least 300 seconds since analysis takes 2–4 minutes, and always check /quota before batch runs to avoid exhausting credits mid-workflow. Remember to review suggested comments and adapt tone before posting to keep engagement authentic.
Scored Apr 19, 2026
Automate Xiaohongshu (RedNote) content operations using a Python client for the xiaohongshu-mcp server. Use for: (1) Publishing image, text, and video content, (2) Searching for notes and trends, (3) Analyzing post details and comments, (4) Managing user profiles and content feeds. Triggers: xiaohongshu automation, rednote content, publish to xiaohongshu, xiaohongshu search, social media management.
Interact with Twitter/X — read tweets, search, post, like, retweet, and manage your timeline.
Twitter/X 数据查询助手。覆盖推文详情、用户资料、搜索、评论、趋势等全功能。
TikTok 数据查询与工具助手。覆盖视频详情、用户数据、搜索、广告、创作者工具、电商等模块。含部分交互触发和协议工具接口（已标注）。
YouTube 全场景数据查询助手。支持Web/V2双版本API，覆盖视频详情、频道数据、搜索、评论、字幕、Shorts等全功能。
Threads 数据查询助手。覆盖帖子详情、用户资料、搜索、评论、转发等全功能。