Using Structured Data for Community Content

Using structured data for community content is the practice of adding a standardised, machine-readable layer of information to your community’s web pages. This mark-up, which is not visible to the end-user, organises and describes the content on the page in a vocabulary that search engines and artificial intelligence systems can easily understand. For communities, this means transforming unstructured conversations, questions, and events into explicit, well-defined data points, dramatically increasing their value and discoverability on the open web.

Why it matters — Using Structured Data for Community Content

For decades, community-generated content has been a rich but often opaque source of information for search engines. Structured data provides the necessary context to unlock its full potential. The benefits for a community professional are significant and multifaceted, directly impacting the reach and influence of their programme.