Services About Results Blog Contact Get a Free Audit
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 โ€” 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
โ†“ Download Free Guide (PDF)

14 pages ยท By Marcus Chen ยท 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 โ€” 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 โ€” 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 โ€” and the platform-specific optimizations that matter.

Get the full guide โ€” free

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

โ†“ Download PDF Now

Want this running inside your stack?

NetWebMedia builds AI marketing systems for US brands โ€” from autonomous content engines to full-funnel AI automation. We don't just write guides. We implement what's in them.

  • AI Marketing Automation
  • AEO & AI-First SEO
  • Autonomous AI Agents
  • Paid Media + AI Creative
Book a Free 30-Min Strategy Call โ†’
3.2ร—
Average pipeline increase for clients in their first 6 months
47%
Average reduction in cost-per-lead after AI automation implementation
90 days
Typical time to first measurable ROI on AI marketing systems