Citation guide / 2026
Cited AI Workflows: From Public Sources to Reviewable Answers in 2026
A citation is useful only if it helps a reader inspect evidence. Retrieval systems should preserve URLs early, avoid mixing unrelated sources into one record, and let a chat UI present a source beside an answer.
Quick answer
Citations should survive the handoff from retrieval to UI.
Keep the canonical source URL and useful dates with each extracted record. When an answer mentions a fact, link back to the record that supported it.
curl --get 'https://webstractor.com/api/extract' \
--data-urlencode 'url=https://example.com/' \
--data-urlencode 'format=json'Available data
What you can extract
- Canonical source URLs
- Public author and date fields
- Readable evidence content
- Structured attributes for UI rendering
AI workflows
Where normalized data helps
- Research copilots
- Editorial review
- Customer-support answers
- Compliance and audit trails
AI-ready output
Markdown for models. JSON for systems.
Raw HTML consumes tokens on navigation, scripts, styling, and interface labels. Clean Markdown keeps the readable hierarchy for LLM prompts and RAG chunks. Normalized JSON is better when your application needs an explicit semantic type, source, author, publication date, media, attributes, and collection items.
Always retain the canonical URL from the response. AI-generated summaries should remain traceable to the public source, especially when the underlying page can change.
Boundaries
Public data only
- Citations need deliberate claim-to-evidence mapping.
- A source can be outdated or wrong.
- A link alone is not verification.
webstractor.com does not bypass CAPTCHAs, login walls, paywalls, access controls, or regional restrictions. Review the source’s terms and applicable law before collecting or reusing data.
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