Citations.press
Citations.press is a platform that transforms source-backed facts into structured, machine-readable citation pages optimized for discovery by AI systems like ChatGPT, Claude, Gemini, and Perplexity. Users can submit articles, research, statistics, and claims, which the platform verifies and indexes across categories such as World, Business, and Politics. Each claim is extracted, attributed, and published as a standalone citation with metadata, enabling AI assistants to reference and attribute facts accurately. The service aims to bridge the gap between human-created knowledge and AI-generated responses by ensuring that factual information is visible, citable, and trustworthy.
- Category
- AI/ML
- Pricing
- Free
Problem solved
AI assistants often lack structured, verifiable citations for factual claims, leading to inaccuracies or unattributed information. Citations.press provides a centralized, machine-readable index of source-backed facts that AI models can cite, improving the accuracy and traceability of AI-generated content.
Use cases
- Submitting a news article to make its key facts citable by AI
- Ensuring research data is discoverable in AI-powered search results
- Making brand statistics and claims visible to AI-driven assistants
- Publishing verified fact-checks for consumption by AI tools
- Creating a structured knowledge base of citations for media organizations
Audience
- Content Creators
- Researchers
- Business Users
- Enterprise
- Startups
Pros
- Free to use with no submission costs
- Structures facts into machine-readable formats for major AI platforms
- Provides a live, categorized index for easy discovery
- Enhances brand visibility by enabling AI citation
- Promotes verifiable information through attribution
Cons
- Relies on manual submissions, limiting coverage
- No self-hosting or on-premises deployment
- Long-term pricing and sustainability unclear
- No public API for programmatic submission
- Potential delays in verification and indexing
Official website: https://citations.press/
Canonical LambdaBase page: https://www.lambdabase.com/tools/citations-press