As of early 2026, AI search engines – like those powering Google’s Gemini and Bing’s enhanced offerings – prioritise content structured to directly answer user queries, moving beyond simple keyword matching to semantic understanding. They favour content that demonstrates expertise, authoritativeness, and trustworthiness (E-A-T) and can be easily ‘digested’ by their algorithms.
- Structured Data Markup: Current systems include schema.org vocabulary to help AI understand content context (e.g., product details, event information, recipes).
- Long-Form, In-Depth Content: AI favours comprehensive guides and articles (1500+ words) that thoroughly cover a topic.
- Multi-Modal Content: In 2026, AI can process images, videos, and audio alongside text, so incorporating these formats is crucial.
- Clear Question/Answer Format: Content directly addressing common customer questions performs exceptionally well.
This is particularly relevant for Australian businesses navigating the Australian Consumer Law and ACCC guidelines. AI algorithms now features the ability to assess content for factual accuracy and compliance with local regulations, meaning misleading or inaccurate information is heavily penalised. Optimising for ‘helpful content’ – genuinely valuable information for your target audience – is paramount.
Instead of grappling with the technical complexities of schema markup, E-A-T optimisation, and multi-modal content creation, let ROI.com.au handle it for you. Contact our team today and we can take care of all this for you.
