Generative engine optimization (GEO) is how you make your site readable and citable by AI answer engines, chat assistants, and autonomous agents. It is the machine-traffic counterpart to SEO — but the playbook is different.
Agent-ready vs agent-friendly
Agent-ready usually means a checklist: add llms.txt, expose Markdown, publish JSON-LD, score 85/100. Cloudflare owns that framing with "Agent Readiness."
Agent-friendly means something operational: every machine visitor is classified by intent and served the response shape its job actually needs — with proof.
| Approach | What you get |
|---|---|
| Readiness score | A number and a todo list |
| Agent-friendly gateway | Per-class payloads, token evidence, traffic analytics |
ADN sells the second. We show what machines receive from your URL today, what it costs in tokens, and which high-intent fetches never got through.
What actually moves GEO
1. Clean content, not raw HTML — Answer engines quote text, not div shells. Markdown with honest structure beats a React SPA every time.
2. Structured data that matches reality — JSON-LD for products, articles, and FAQs. Stale schema is worse than none.
3. Discovery surfaces — llms.txt, sitemap hints, and MCP tools so agents find the right entry point.
4. Per-class service — Training crawlers should not walk your sitemap. Live fetches should not wait behind bulk jobs.
5. Evidence loop — Measure token cost and citation potential before and after changes.
The free efficiency scan
Start with evidence. ADN's scan at https://www.agent-delivery.network/#scan fetches your URL as a machine visitor would and reports:
• What payload the agent receives (HTML vs extractable text)
• Estimated token cost vs clean Markdown
• Signals present: llms.txt, JSON-LD, robots.txt hints
No signup. No score. Just what machines get today.
GEO without hurting SEO
GEO and SEO are not opposites. Search engines and social unfurlers always receive untouched passthrough. GEO improvements target the machine classes that benefit from structured content — answer engines, IDE agents, and training crawlers on agreed terms.