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    How to build an internal entity graph that LLMs can follow?

    •7 min read•By SearchBrand
    Entity Graph for LLMs

    Introduction

    LLMs don't "read pages", they resolve entities and relationships. If your website is a maze without signage, you'll be left out of generative responses and lose attribution. This playbook guides you to create an internal entity graph (coherent, linked and measurable) that Google and AI engines can understand—aligned with AEO/GEO and no smoke.

    TL;DR

    • Canonize entities (Organization, Product/Service, Person, Article, FAQ/HowTo) with stable @id and sameAs to official profiles; reuse those entities across the site with JSON-LD.
    • Express relationships with interlinking and properties: brand, author, hasPart/isPartOf, about/mentions, mainEntityOfPage.
    • Control AI bots in robots.txt (GPTBot, Google-Extended, Perplexity) and monitor logs/CDN.
    • llms.txt is optional and emerging (not standard).
    • Measure AEO/GEO with: SGV, Attribution Rate, Entity Resolution and Edge Coverage.

    Quick Answer

    A good entity graph = (1) Entity registry with @id/sameAs; (2) Consistent JSON-LD; (3) Semantic linking; (4) AI crawler controls; (5) AEO/GEO metrics.

    Step-by-step guide

    1) Entity Registry (YAML)

    Define a canonical inventory of your main entities:

    - name: SearchBrand.ai
  type: Organization
  canonical_url: https://searchbrand.ai/
  id: https://searchbrand.ai/#org
  sameAs:
    - https://www.linkedin.com/company/searchbrand-ai/
    - https://twitter.com/searchbrand_ai

    2) Minimum JSON-LD (Organization + Person)

    Implement structured JSON-LD on each relevant page:

    <script type="application/ld+json">
{
 "@context":"https://schema.org",
 "@type":"Organization",
 "@id":"https://searchbrand.ai/#org",
 "name":"SearchBrand.ai",
 "url":"https://searchbrand.ai/",
 "logo":"https://searchbrand.ai/logo.png",
 "sameAs":[
  "https://www.linkedin.com/company/searchbrand-ai/",
  "https://twitter.com/searchbrand_ai"
 ]
}
</script>

<script type="application/ld+json">
{
 "@context":"https://schema.org",
 "@type":"Person",
 "@id":"https://searchbrand.ai/#rodrigo",
 "name":"Rodrigo Méndez",
 "url":"https://searchbrand.ai/es/autores/rodrigo-mendez",
 "sameAs":["https://www.linkedin.com/in/rodrigo-mendez-6689a7308/"]
}
</script>

    3) Hubs and hierarchy

    Model thematic hubs (AEO/GEO/Entity Graph) and link to guides, FAQs and HowTo with hasPart/isPartOf, about/mentions.

    Create hub pages that act as knowledge centers for each main topic. Link from the hub to specific content and vice versa.

    4) AI bot control (robots.txt)

    Define specific rules for AI crawlers:

    User-agent: GPTBot
Disallow: /private/
Allow: /

User-agent: Google-Extended
Disallow: /private/

User-agent: PerplexityBot
Disallow: /drafts/
Allow: /

User-agent: *
Disallow: /admin/

    5) llms.txt (optional)

    An emerging format to guide LLMs about your most relevant content:

    # SearchBrand.ai
## Core
- https://searchbrand.ai/es/
- https://searchbrand.ai/es/blog/
- https://searchbrand.ai/es/guias/aeo
- https://searchbrand.ai/es/guias/geo
## Authors
- https://searchbrand.ai/es/autores/rodrigo-mendez

    llms.txt is not an official standard. Use it as a complement, but don't prioritize it over schema.org and semantic linking.

    6) AEO/GEO Metrics

    KPIDefinitionHow to measure
    SGV (Search/Generative Visibility)% of target queries where you appear cited/linked in generative responses.Monthly sampling of prompts per engine; checklist of citations/links.
    Attribution Rate% of times that, when mentioning you, they include a link to your source.Count of responses with vs. without link.
    Entity Resolution Rate% of prompts where the LLM correctly identifies your Organization/Product/Person.Test suite of prompts + manual verification.
    Edge Coverage% of expected relationships present (Org→Product, Product→FAQ/HowTo, Author→Org).JSON-LD + interlinking audit.
    Crawler Compliance% of AI bot requests that respect robots.txt.CDN/WAF logs by verified user-agent.

    Frequently Asked Questions

    No. It's optional and emerging; prioritize schema and interlinking. Add it as a guide when you have capacity.

    It shouldn't: it manages Gemini training/grounding, not Google Search indexing.

    It helps but it's not enough: combine it with WAF/CDN and continuous monitoring.

    Home with Organization/@id/sameAs; 3 marked records; 1 thematic hub; AI robots; dashboard with SGV/Attribution.

    Conclusion

    Building an internal entity graph is not optional if you want to be visible in the era of generative responses. Start with the minimum viable: define your main entities, implement consistent JSON-LD, link semantically and measure with AEO/GEO metrics.

    Want to start today?

    Our AEO/GEO Scan (beta) with SearchBrand.ai helps you prioritize entities/edges and close gaps. Request early access.

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