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Citation EngineeringFree · runs in your browser

Normalise messy source lists

SourceFormatting Tool

Format your sources for AI-friendly parsing.

Parse audit · avg 90%

The 2026 state of AI search visibility100%
✓ Author detected✓ Title detected✓ Publisher detected✓ Year present✓ Valid URL
D80%
✓ Author detected○ Title detected✓ Publisher detected✓ Year present✓ Valid URL
Citation Lift in Generative Search80%
✓ Author detected✓ Title detected○ Publisher detected✓ Year present✓ Valid URL
Climate data rankings100%
✓ Author detected✓ Title detected✓ Publisher detected✓ Year present✓ Valid URL
- **Chen** (2026). *The 2026 state of AI search visibility*. Gartner Research - https://gartner.com/ai-search-2026
- **Park** (2026). *D*. MIT Technology Review - https://technologyreview.com/rag-sources
- **Rivera M et al.  Stanford** (2026). *Citation Lift in Generative Search*.  - https://stanford.edu/citation-lift
- **NOAA** (2024). *Climate data rankings*. Climate data rankings - https://noaa.gov/climate-2024

How it works

Paste any messy reference list - copied from a PDF, a blog post, an email - and the parser pulls out author, title, publisher, year and URL from each line. You get a per-source audit plus three clean outputs: AI-friendly markdown, schema.org JSON-LD for structured data, and CSV for spreadsheets and knowledge bases.

Why normalised sources win

  • One shape, all parsers. Retrieval layers score predictable shapes higher - same fields in the same order every time.
  • No silent gaps. The audit flags missing years, authors and URLs before they become silent retrieval failures.
  • Schema-ready output. The JSON-LD format drops straight into an ItemList in your page head for machine-readable signal.
  • Zero manual cleanup. Paste 50 lines, export cleanly - what used to take an hour now takes a few seconds.

Pair with

Feed the clean output into the Reference Generator to format for APA or MLA, the Citation Schema Generator for structured markup, or the Evidence Block Generator to wrap individual sources around live claims. Context: how assistants choose citations.

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From the Knowledge Hub

AI Search

How AI Assistants Choose Citations

Reverse-engineered: the exact ranking signals ChatGPT, Claude, Gemini and Perplexity use to decide which sources end up in the citation chips at the bottom of an answer - and how to engineer your content to win them.

Tutorials

Schema Markup for AI Search

Not all schema is read equally. The exact JSON-LD types - Article, FAQ, HowTo, Organization, Product - that ChatGPT, Claude and Perplexity demonstrably consume, plus copy-paste templates and the gotchas that nuke parsing.

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