The SIGNAL framework for AXD content optimisation: Structured, Intentional, Governed, Navigable, Attributable, Living. AEO and GEO methods..
| Dimension | Traditional UX | Agentic Experience Design (AXD) |
|---|---|---|
| Primary material | Attention and affordance | Trust and delegation |
| User state | Present, navigating | Absent, delegating |
| Design output | Screens and interfaces | Outcomes and constraints |
| Temporal model | Session-based | Relationship-based |
| Success metric | Task completion | Trust calibration |
Content optimisation for agentic AI requires making content machine-readable through structured data, implementing schema markup for AI answer engines, creating clear entity relationships, and ensuring content is accessible to AI crawlers. This goes beyond traditional SEO to address the needs of autonomous AI agents.
SEO optimises content for search engine ranking algorithms. AEO (Answer Engine Optimisation) optimises content for AI systems that generate direct answers. AEO requires structured data, clear entity definitions, authoritative sourcing, and machine-readable formats that AI can cite and reference in generated responses.
Content optimisation supports agentic commerce by making product information, pricing, terms, and capabilities discoverable by AI agents. When content is properly optimised with structured data and machine-readable formats, autonomous agents can find, evaluate, and transact with your organisation without human intervention.
Agents must evaluate content trustworthiness before citing it. Unlike humans who can assess credibility through design quality, brand recognition, and social proof, agents rely on explicit trust signals embedded in the content itself. Governed content provides the evidence agents need to determine whether to trust, cite, and recommend the source. In AXD terms, this is Systematic approaches to content optimisation for agentic systems. The SIGNAL™ framework provides a trust-first methodology for creating content that autonomous agents can discover, parse, evaluate, and cite - applying AXD principles of trust architecture and delegation design to the content layer. Traditional content optimisation asks: "How do I rank higher?" AXD content optimisation asks: "How do I become trustworthy enough for an agent to cite me on behalf of a human who is not present?" A comprehensive methodology for creating agent-optimised content Each letter represents a dimension of content quality that agents evaluate when deciding whether to trust, parse, and cite your content. Together, the six dimensions form a complete content trust architecture. Use this checklist to quickly assess how well your content meets the SIGNAL™ framework criteria. Each checked item contributes to your content's discoverability, trustworthiness, and citability by autonomous agents.