CitableHub is a free, AI-readable software directory that structures your project into clean, schema-rich profile data so AI assistants like ChatGPT, Perplexity, Claude and Gemini can discover, verify and cite it. Each listing comes with a Citability score, a promotion checklist and analytics.
CitableHub is a free, AI-readable software directory that structures your project into clean, schema-rich profile data so AI assistants like ChatGPT, Perplexity, Claude and Gemini can discover, verify and cite it. Each listing comes with a Citability score, a promotion checklist and analytics.
AI-citable structured profiles
Each project is published as structured JSON-LD and Schema.org data so AI assistants can read, verify and recommend it, plus support for enhancing existing metadata like llms.txt.
Free tier with room to grow
The free plan covers up to 2 projects with the Discovery AI engine, your AI-citable profile, a promotion checklist and full analytics; Citation Radar extends you to 6.
Promotion checklist and Launch Kit
A personalised checklist of directories and platforms to submit to, with copy, links and UTM tracking prepared so you can paste and go.
Citability Score
A proprietary score built across five dimensions that rates how likely AI systems are to discover, verify and cite your project, shown publicly on your listing.
優勢與優點
+Free to start and no credit card required, with a usable two-project allowance
+Structured JSON-LD and Schema.org profiles built specifically for AI citation rather than human browsing
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常見問題：CitableHub 與 Shutterstock AI 圖像生成器
CitableHub 每月有 0 次造訪，而 Shutterstock AI 圖像生成器有 47,855,171。流量估算反映受眾規模，並非產品品質。
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
Semantic Scholar is a free, non-commercial academic search engine built by the Allen Institute for AI (Ai2). It indexes more than 240 million papers from every field of science and uses machine learning to extract meaning from abstracts, citations, figures and tables, so researchers find relevant work faster than with keyword-only search.
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