Skip to content
Example engagement · Media & Social Platforms

AI Archive Search for a Digital Publisher

Semantic search and AI-generated summaries over the full archive, so editors find source material in seconds and readers land on relevant older stories.

Scroll
25 → 4 min
Editor research time per story
+19%
Pages per session
3.2x
Traffic to archive articles
Profile — Digital publisher, 15 years of archive, about 220,000 articles and videosTimeline — 6 weeks to the editor tool, 10 weeks to reader featuresTeam — 3 engineers
Representative engagement: a composite of the AI work we deliver in this industry, not a named client's project. Figures are the outcomes this kind of build typically delivers, and they are the targets we agree and measure in a pilot before scaling.
The problem

Editors used keyword search that missed most relevant stories, and older articles drew almost no traffic because they were never linked from new ones.

What we build

The approach.

  • 01Indexed articles, transcripts and metadata into a vector store with source links.
  • 02Built an editor tool that answers research questions with cited archive results.
  • 03Suggested related archive links while editors write.
  • 04Added related-story modules on article pages.
Where the AI works

Claude turns an editor's question into a search, summarises the most relevant pieces and cites each source, and suggests links from new stories to the archive.

Claude APIPythonPostgres + pgvectorNext.jsWhisper transcription
Proof, not promises

How we measure it.

Research time is self-reported by editors over two weeks before and after. Engagement and archive traffic come from analytics against the same period the year before.

Questions

Before you ask.

Only if the publisher chooses. Beyond Technologies usually starts with editors, then adds reader features once accuracy is proven.

Yes. Videos are transcribed and indexed alongside articles, and results link to the right timestamp.

Next step

Want this measured on your own data? Start with a pilot.

Book a call
AI for Media & Social Platforms →Generative AI →Data & Cloud →Next example: AI Content Moderation for a Community Platform →Named client case studies →

Let's put AI to work in your business.

A 30-minute call. You bring the workflow or the roadmap — we'll tell you what's feasible, what it costs, and what we'd build first.

Book a call→