How to optimize video content for AI search?

ROI answers

As of early 2026, AI search for video relies heavily on a multi-modal understanding of content – meaning AI analyses not just the spoken words, but also visual elements, on-screen text, and associated metadata to determine relevance. Current systems include advanced object recognition and sentiment analysis to accurately categorise and rank video content.

  • Automated Transcription & Chaptering: AI now features the ability to automatically generate highly accurate transcripts and intelligently create chapter markers based on topic shifts.
  • Visual Keyword Extraction: Platforms can identify key objects and scenes within your video, associating them with relevant search terms.
  • Schema Markup Integration: Adding structured data (schema) to your video descriptions provides AI with explicit information about the content, improving understanding.
  • Voice Search Optimisation: Optimising for natural language queries, as people *speak* their searches, is crucial.

In 2026, Australian businesses need to be mindful of the ACCC’s ongoing focus on data privacy and transparency. Ensuring your video metadata collection and usage complies with Australian Privacy Principles is paramount. Furthermore, optimising for regional dialects and colloquialisms will improve search visibility for local audiences – for example, using terms common in Queensland versus Victoria.

Instead of navigating these technical complexities and ensuring full compliance, let ROI.com.au handle your video optimisation strategy. We can take care of all this for you. Contact ROI Growth Agency today to discuss how we can boost your video content’s visibility and drive results.


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