Agentic Experience Design (AXD) is the discipline for designing trust-governed relationships between humans and autonomous AI systems. Founded in September 2024 by Tony Wood in Manchester, United Kingdom, AXD addresses how humans delegate, calibrate, observe, interrupt, and recover trust in agentic AI.
| 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 |
A GEO (Generative Engine Optimisation) audit is a systematic evaluation of how well a website is optimised for AI-powered search engines. This automated tool fetches and analyses the HTML of any URL you provide, checking robots.txt for AI bot access, validating JSON-LD structured data, analysing heading hierarchy and content structure, evaluating entity signals, and auditing meta tags. Results are scored across 6 weighted categories with specific, actionable recommendations.
GEO (Generative Engine Optimisation) focuses on making content discoverable and citable by generative AI systems like ChatGPT and Claude. AEO (Answer Engine Optimisation) focuses on earning citations in AI-generated answers and featured snippets. Both disciplines overlap significantly - this audit tool covers both GEO and AEO best practices across 6 pillars and 35+ individual checks.
A score of 90-100 (Grade A) indicates excellent AI search readiness. 80-89 (Grade B) is good with minor improvements needed. 70-79 (Grade C) shows moderate optimisation with clear gaps. Below 70 indicates significant work is needed to achieve AI visibility. The most impactful improvements are typically in structured data (JSON-LD schemas) and content structure (question-format headings, answer-first content).
AI systems like ChatGPT and Google AI Overviews rely heavily on structured data (JSON-LD) to understand page content. FAQPage schema allows AI to directly extract Q&A pairs. Person and Organization schemas build entity authority. Article schema provides publication metadata. Without structured data, AI systems must infer content meaning from raw HTML, which reduces citation probability.
The GEO Self-Assessment at /tools/geo-audit is a questionnaire-based tool where you evaluate your own practices across 8 dimensions. This automated URL audit tool actually crawls and analyses a live URL, checking the real HTML, structured data, meta tags, robots.txt, llms.txt, and content structure. Use the self-assessment for strategic reflection and this tool for technical validation.
Design Futures Intelligence · Automated Audit Tool Enter any URL and receive an instant, automated analysis of its Fetching page, checking robots.txt, validating structured data, analysing content structure This audit methodology is built on research from the AXD Institute's Tony Wood provides specialist consulting on Generative Engine Optimisation,