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Optimizing community search + related topics experience - sort/filter by recency and quality?

  • May 22, 2026
  • 3 replies
  • 46 views

Hi community community!

I have gotten a lot of feedback from our users about the search results in the community and wanting there to be a way to sort results or for the AI search agent to prioritize quality and recency. I am wondering if this is possible. I tried to give the AI agent context about prioritizing recency, but that it got all wonky and showed irrelevant content. 

Another thing is the “related topics” sidebar. Is there a way to customize what content it’s pulling and how it decides what is most relevant?

Best answer by samanthahamlet

Hey ​@gabbyesposito, just following up on this: 

For search, results are ranked using a custom ranking system (not end-user configurable) that prioritises content in this order: articles, federated content, answered posts, and then last updated date. Quality signals such as likes, post count, and views are also factored in. There's no way for members to manually sort or filter results, and ranking settings are managed at the index level only. So while recency is part of the mix, it won't always surface as the top signal depending on the other ranking factors. That's likely why adjusting the AI agent context for recency led to some unexpected results!

For Related Topics, those are generated automatically by the search engine using the current article's title as the query. Content with overlapping title keywords is more likely to surface. There's no manual curation, per-article pinning, or personalisation available, so every visitor sees the same related content (scoped to their permissions).

Hope that helps clarify! If you have ideas for how you'd want these to work differently, feel free to drop them in the Ideas section.

3 replies

Suvi Lehtovaara
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I’m also interested in hearing if there are now ways to tackle this challenge.

There is also an old idea related to this:

 

 


samanthahamlet
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  • Gainsight Community Manager
  • May 27, 2026

Hey ​@gabbyesposito!

Great question, I’ve asked internally about this now! I’ll let you know as soon as I hear more 😊


samanthahamlet
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  • Gainsight Community Manager
  • Answer
  • May 28, 2026

Hey ​@gabbyesposito, just following up on this: 

For search, results are ranked using a custom ranking system (not end-user configurable) that prioritises content in this order: articles, federated content, answered posts, and then last updated date. Quality signals such as likes, post count, and views are also factored in. There's no way for members to manually sort or filter results, and ranking settings are managed at the index level only. So while recency is part of the mix, it won't always surface as the top signal depending on the other ranking factors. That's likely why adjusting the AI agent context for recency led to some unexpected results!

For Related Topics, those are generated automatically by the search engine using the current article's title as the query. Content with overlapping title keywords is more likely to surface. There's no manual curation, per-article pinning, or personalisation available, so every visitor sees the same related content (scoped to their permissions).

Hope that helps clarify! If you have ideas for how you'd want these to work differently, feel free to drop them in the Ideas section.