AI-Native SEO Playbook 2026

Search has fractured into three parallel channels in 2025-2026, and most sites are only optimised for one of them.

System 1 is traditional Google search: E-E-A-T, Core Web Vitals, structured data. System 2 is AI answer engine optimisation (AEO): getting cited by ChatGPT, Claude, Perplexity, and Gemini. System 3 is AI agent discovery: making your site accessible to AI agents via llms.txt, agents.txt, and MCP endpoint registration.

The citation signals for each AI model differ. ChatGPT rewards Wikipedia backlinks and Bing media mentions. Perplexity rewards Reddit presence. Claude rewards outbound citations and user-generated content at 2-4x the rate of other signals. Gemini follows Google existing authority signals.

The playbook also includes a gap analysis method: a scored checklist run against any domain using Claude Code to produce prioritised quick wins in a single session.

What is included: the full framework document, per-LLM citation signal breakdown, llms.txt and agents.txt templates, the gap analysis checklist, and a 12-point implementation checklist ordered by effort versus impact.

Best for site owners in technical or AI-adjacent niches where the audience is already using AI search tools.