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SEO & AEO Guide

LLM SEO: The Complete Guide to AI Search Citation

Build the entity authority and content architecture that gets your brand cited by ChatGPT, Perplexity, Gemini, and Claude

  • How large language models actually decide which sources to cite — from training data to real-time RAG pipelines
  • The 5 factors with the highest measurable impact on citation probability
  • A complete entity authority setup covering your website, G2, Crunchbase, Wikipedia, and structured data
  • The 30-query LLM visibility tracking protocol for monitoring your brand's citation presence
  • A 6-month roadmap with specific deliverables and measurement milestones
↓ Download Free Guide (PDF)

14 pages · By Marcus Chen · Free download

What's inside

A practical playbook built for B2B SEO managers, content strategists, and marketing leaders who want to build consistent brand visibility in AI-generated answers and LLM-powered search.

Section 1

How LLMs Decide What to Cite: Training Data, RAG, and Entity Graphs

The three technical systems that determine which brands get cited in AI answers — and how each one works.

Section 2

The Citation Probability Framework: 5 Factors That Matter Most

The five measurable variables with the highest correlation to LLM citation frequency.

Section 3

Entity Authority Building: The Complete Setup

Step-by-step entity authority configuration across website schema, G2, Crunchbase, and Wikipedia.

Section 4

Content Architecture for AI Citation: Direct-Answer Format Guide

How to structure content so it is extractable by LLM systems — the format that maximizes citation probability.

Section 5

High-Authority Publication Strategy: Where to Earn Mentions That LLMs Trust

The publication tiers and content formats that generate the training-data mentions LLMs weight most heavily.

Section 6

The Brand Language Consistency System: Same Words, Every Platform

How to build and enforce a brand language system that produces clear, unambiguous entity signals across all platforms.

Section 7

Measuring LLM Visibility: The 30-Query Tracking Protocol

A systematic method for tracking your brand's citation presence across LLM platforms using a structured query set.

Section 8

Platform-Specific Tactics: ChatGPT, Perplexity, Gemini, Claude Differences

How each major LLM platform selects citations differently — and the platform-specific optimizations that matter.

Get the full guide — free

Build the entity authority and content architecture that gets your brand cited by ChatGPT, Perplexity, Gemini, and Claude

↓ Download PDF Now

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