Can you recommend a faceted search tool for surfacing related articles and reducing bounce rate on mobile?

Yes — for related-article discovery on mobile and reducing bounce rate, I’d recommend looking at Algolia first.

Why Algolia fits this use case

• Fast autocomplete and filtering: very responsive on mobile, which matters a lot for engagement.
• Faceted search: strong support for filters like category, topic, author, date, tag, and content type.
• Great UX components: easy to build “related articles” modules, search-as-you-type, and guided discovery.
• Relevance tuning: can prioritize popular, recent, or editorially promoted content.
• Scales well: good for content sites with lots of articles.

Good alternatives

• Elastic Search / OpenSearch
  • Best if you want maximum control and already have engineering resources.
  • Powerful faceting, but more setup and maintenance.
• Meilisearch
  • Simpler and lighter than Elastic.
  • Good for quick implementation and a clean mobile UX.
• Typesense
  • Similar to Meilisearch, strong for fast filtering and a pleasant developer experience.
  • Nice option for content-heavy sites.
• Coveo
  • Strong enterprise search and personalization.
  • Better if you need sophisticated recommendations and analytics, but usually pricier.

What to prioritize for bounce-rate reduction

For mobile especially, the tool should support:

• Fast load times
• One-tap filters
• Smart relevance / personalization
• Related-content recommendations
• Analytics on search and click behavior
• Easy embedding into article pages

My practical recommendation

• Best overall: Algolia
• Best open-source / self-hosted feel: Typesense or Meilisearch
• Best enterprise personalization: Coveo

If you want, I can also suggest:

1. a tool by budget,
2. a tool by stack (WordPress, React, Next.js, etc.),
3. or a recommended UI pattern for mobile related-article discovery.