How to Win When AI Answers the Question
In 2026, you're either the source AI cites — or you are invisible. This keynote, delivered at Claude Code London, defines the inflection point where AI interfaces became the primary discovery layer.
The presentation introduces three foundational concepts for modern AI visibility:
Includes proprietary data on the shift from keywords to vectors, the zero-click reality, and actionable frameworks for AEO and GEO implementation.
P(citation) ≈ Authority + Relevance + Information Gain
Each factor weighted differently by AI models (ChatGPT, Gemini, Claude, Perplexity). Introduces the first predictive model for AI citation.
G = 0 (Invisible) vs. G = High (Cited)
Generic content = zero. Proprietary data, original case studies, and unique expert analysis drive citation velocity.
JSON-LD + llms.txt + Chain-of-Thought
Treat your site as an API for AI crawlers. Structured data, clean markdown, and reasoning-based content architecture.
2010-2023: Keyword Era → 2026: Vector Era
AI calculates semantic proximity, not keyword matches. Content closest to intent centroid wins.
Eight Oh Two, February 2026
The zero-click reality: 25% predicted reduction in traditional search volume (Gartner 2026). Users trust synthesized answers over link lists.
+40%
more likely to be cited when content provides direct, verifiable answers
12 slides covering the Citation Probability Model, Information Gain framework, and technical AIO stack.
Download PDF (376 KB)Includes data visualizations, proprietary frameworks, and implementation checklists.