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What Google's AI Overviews mean for community platforms

Generative search is restructuring how users discover specialised platforms like ours. Here's what we're doing about it.

By Mindonor Admin1 min read
Close-up of a circuit board.
Close-up of a circuit board.

When Google's AI Overviews started rolling out in earnest in 2025, every platform team I know quietly recalibrated.

What changed

The classical SEO playbook — title tag, H1, internal links, keyword in URL — still works. But it's now table stakes. The real ranking signal for generative engines is whether your page is the source they would cite if a human asked them the question.

Three things we changed

  1. Passage-level citability. We rewrote our donor profiles so every fact (number of sessions, languages, domains) sits in a standalone passage a model can extract verbatim.
  2. JSON-LD everywhere. Person schema for donors, Organization for institutions, Article on the blog, Event on confirmed sessions.
  3. llms.txt. A standardised file at the site root that tells AI crawlers which pages to ingest and how to attribute us.

What's next

We expect the next eighteen months to compress the lead time between a piece being indexed and being cited. Quality and structure will compound; volume of low-signal content will be punished harder than it was under traditional rankings.

If you're rebuilding your discovery strategy for the AI search era, we'd love to compare notes.