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GeoLook is an open-source, self-hosted platform for end-to-end Generative Engine Optimization (GEO), focused on whether AI engines mention and cite a brand. Its workflow runs from status analysis through diagnosis, strategy, implementation tickets, execution, and verification. The platform samples answers from multiple AI engines and measures mention rate, rank, citation share, competitor visibility, and citation sources. It classifies question-level problems such as absence, low ranking, competitor dominance, and suspected negative mentions; stores browsable sample metadata; and allows human corrections to parser results that recompute metrics and persist across resampling. It can expand question banks using Baidu suggestions and Google autocomplete, with candidates requiring manual review. GeoLook audits sites through an Access → Orientation → Understanding → Quotability dependency chain, covering crawler access, extraction blocks, citation-channel gaps, and brand-fact or messaging inconsistencies. It also performs checks such as robots and WAF/CDN behavior, noindex headers, llms.txt links, hreflang, sitemaps, duplicate content, and passage-level quotability. The action stage produces structured implementation tickets with rationale, ownership, effort, timing, acceptance criteria, risk grades, progress tracking, and regression-based reopening; it also provides content planning, deployable llms.txt and JSON-LD assets, and client-facing reports and execution plans. Subsequent sampling rounds compare results before and after implementation.

Claude is an AI assistant developed by Anthropic, positioned as 'The AI for Problem Solvers'. It is a general-purpose AI system used for tasks such as generating code prompts, refining requirements, creating advertising strategy and copy, and processing creative content like storyboarding and video prompts.

NiubiGEO is an open-source, self-hosted tool for tracking how AI models describe products and brands, which competitors they name, and which sources they cite. It accepts a domain, queries selected OpenRouter models with optional web search, and stores each model's original answer, descriptions, competitor associations, keywords, citations, ordinary URLs, errors, and execution conditions. Users can confirm model-derived competitors and keywords for follow-up tests that omit the target brand's name, repeat measurements, and schedule monitoring runs. Results are organized into separate projects for different domains and retain historical records so findings can be traced back to the underlying answers and evidence. The project states that it does not track traditional search-engine rankings and that offline and web-enabled tests should be interpreted separately. The Community Edition is free, open source, and licensed under Apache-2.0. It runs locally with Node.js 22 or later, requires an OpenRouter API key for testing, and can also be deployed with Docker; users pay the model, search-service, and hosting costs they incur. The project also offers paid AI testing by real people and GEO optimization services.

PromptQL is a collaborative AI platform that provides shared AI threads and a self-organizing team knowledge base. It captures conversational context and generates suggested edits to interconnected wiki-style pages representing skills, knowledge, and a semantic layer.

Can I Vibecode It? is an open-source catalog that evaluates whether AI coding agents such as Claude Code, Codex, or Cursor can build a usable personal replacement for a paid SaaS application. Each app entry provides a YES, KINDA, or NOT REALLY verdict, the exact prompt for attempting the replacement, and the tradeoffs of leaving the original service, including lost network effects, data, or infrastructure. App entries are contributed as one JSON file per app, with the schema and verdict criteria documented in the repository. The site uses Astro server output with a Node adapter to render fully server-rendered HTML, SQLite via better-sqlite3 for vote counters and waitlist data, and vanilla JavaScript and CSS for interactions. Satori and resvg generate Open Graph images at build time. It runs locally with npm install, npm run dev, npm run build, and npm start, requires no environment variables for local development, and supports optional analytics, sign-in, payments, email, and media-storage configuration. It can be deployed on a VPS behind a reverse proxy, with DATA_DIR used to keep user data outside the repository. The project is released under the MIT License, and its prompts are intended to remain free.