Introduction
LLMs don't "read pages", they resolve entities and relationships. If your web is a maze without signage, you'll be left out of generative answers and lose attribution. This playbook guides you to create an internal entity graph (coherent, linked and measurable) that Google and AI engines can understand—in line with AEO/GEO and without smoke.
For whom: SEO/Content teams that need to organize entities and relationships to gain citations and attribution in 90 days.
TL;DR
- Canonize entities with
@id/sameAsand reuse them with JSON-LD. - Express relationships with
hasPart/isPartOf,about/mentions,brand,author,mainEntityOfPage. - Control AI bots in
robots.txtand monitor logs/CDN. llms.txtis optional (non-standard).- Measure SGV, Attribution, Entity Resolution and Edge Coverage.
Quick answer
A good entity graph = Entity registry + consistent JSON-LD + semantic linking + AI crawler controls + AEO/GEO metrics.
FAQ
No. It's optional and emerging; prioritize schema and interlinking. Add it when you have capacity.
It shouldn't: it manages Gemini training/grounding, not Google Search indexing.
It helps but isn't enough: combine it with WAF/CDN and continuous monitoring.
Home with Organization/@id/sameAs; 3 marked records; 1 thematic hub; AI robots; panel with SGV/Attribution.
See also
- 2025 Fundamentals (SEO, AEO and GEO)
- Engine optimization 2025 (playbook)
- AI Overviews without losing conversions
- GA4 — AI Channel (Channel Groups)
- How to rank your business in ChatGPT
Updated: 2025-10-20
