Optimising for multiple AI engines in 2026 involves utilising marketing platforms that employ a ‘universal content format’ – essentially, structuring content to be readily interpretable by diverse AI models, rather than tailoring it to a single algorithm. This is achieved through schema markup and semantic web principles, allowing platforms to translate content into formats understood by engines like Google’s Gemini, Microsoft’s Copilot, and emerging Australian AI tools.
As of December 2025, platforms like Sitecore and Adobe Experience Cloud now include ‘AI Connector’ features. These connectors automatically generate and embed rich schema markup – including Product, Event, and Article schemas – ensuring content is machine-readable. In 2026, these platforms will expand to support the emerging ‘AUS Schema’ initiative, a localised schema standard designed to improve AI understanding of Australian business data, including ABNs and GST details. Currently, these platforms translate content into a standardised JSON-LD format. The cost of these connectors varies, with Sitecore’s starting around AUD $15,000 annually and Adobe’s integrated within their existing enterprise licensing. These systems don’t guarantee ranking, but ensure content *can* be processed by any compliant AI engine. Data privacy remains a key consideration, with platforms needing to adhere to Australian Privacy Principles (APPs).
Ultimately, these systems function by converting human-readable content into a structured, machine-readable format accessible to multiple AI engines.
