Practical guide

How to require citations in an AI summary

Treat URL provenance as a data constraint, not a writing preference. Capture source URLs before generation, attach only links present in the source material Scottie read, and validate each rendered claim-to-source relationship.[1][2]

Why this gets difficult

An AI summary can display plausible links that were never part of the input or attach one general source to a paragraph containing several unsupported claims.[1][2]

A practical way through

  1. Create a dated source snapshot containing the canonical URL and readable source material.[1][2]
  2. Generate the summary without allowing the model to invent or format destination URLs.[1][2]
  3. Attach links programmatically from the dated source snapshot after generation.[1][2]
  4. Reject output whose claim cannot be traced to the cited source or whose link was absent from the input.[1][2]

An example

The situation: A generated paragraph combines a price change, launch date, and analyst opinion while citing only a product homepage.[1][2]

What changes: Each factual component is checked against the source pages, unsupported material is removed through rejection, and links are attached from the validated input records.[1][2]

What you get: The final summary has fewer claims but an original links the reader can actually inspect.[1][2]

What to watch for

  • A real URL does not prove that the source supports the nearby claim.[1][2]
  • Source pages can change after generation, so evidence-sensitive briefs need a dated source snapshot.[1][2]

Sources worth keeping

  • Canonical source URLs captured before generation.[1][2]
  • Primary sources for prices, dates, rules, and reported results.[1][2]
  • A validation layer that rejects unknown URLs and unsupported claim mappings.[1][2]

How Scottie helps

Scottie records source URLs before writing and attaches those links afterward instead of asking generated prose to invent them.[3]

Related reading

Sources and official links

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