Kristina Azarenko – SEO For LLMs The GEO Blueprint

Here’s What You Get:

• 3 Recorded Training Sessions (instant access)
  Get crystal-clear on what AI knows about your brand, how to optimize across LLMs, and how to track results you can confidently report to clients or managers.
• 9 Practical Bonuses Included
  AI KPI cheat sheets, prompt tracking workflows, LLM tools, optimization checklists, and more—all free when you join.
• Built for SEOs by SEOs
  No fluff. No theory dumps. Just a clear path from “WTF is GEO?” to “Here’s how we lead in the AI era.”

Session 1

Run a GEO Diagnostic: What LLMs Really Know About Your Brand

Instant access

This session shows you how to reverse-engineer what ChatGPT, Gemini, Perplexity, and other LLMs currently “understand” about your brand—and why that understanding might be wrong, incomplete, or nonexistent.

You’ll learn how to:

• Analyze your brand’s AI footprint: what’s being surfaced, what’s being ignored, and what AI is hallucinating
• Use RAPP framework to identify citation gaps and entity coverage issues that are blocking you from appearing as a trusted source
• Understand the real difference between AI Search, AI Overviews, and Chat Modes—so you don’t waste time optimizing for the wrong thing
• Benchmark your current visibility in LLMs
• Spot AI answer inaccuracies—and diagnose what’s causing them
• Set up monitoring systems that help you stay ahead without adding 12 more tabs to your workflow
• Qualify which audiences are seeing your brand in AI results and who your real competitors are

Session 2

How to: LLM Optimization Techniques That Actually Work

Instant access

If the first session gives you the “what’s happening,” this session gives you the “how to influence it.”

You’ll learn how to:

• Decode the three key LLM response types: Training Data, RAG, and deep-query systems—and how to optimize differently for each
• Understand how LLMs prioritize sources, citations, and mentions—and why some brands surface more often than others
• Apply entity-based optimization to align your brand with the signals LLMs favor
• Optimize for LLMs.txt: how to leverage and audit this emerging file for better crawl intent signaling
• Use schema markup intentionally—and why AI systems treat it differently than Googlebot
• Design content that’s structured not just for Google, but for LLM query interpretation
• Learn the one core shift that makes LLM optimization fundamentally different from traditional SEO—and how to adapt your workflows
• Understand what still matters from technical SEO (yes, it’s not dead) in a GEO context
• Use LLM-native platforms—like Custom GPTs and Perplexity Pages—to gain first-mover advantage
• Spot and fix hallucinations about your brand, and prevent them from harming credibility
• Adapt your strategy depending on whether you’re working with enterprise brands, local businesses, or eCommerce—because yes, the approach changes

Session 3

Measure Effectiveness: Tracking, Reporting & Proving ROI

Instant access

In this session, you’ll learn how to measure the effectiveness of your GEO efforts—even when you don’t have traditional rankings or traffic reports to lean on.

You’ll learn how to:

• Prioritize your optimizations using data-backed decision-making frameworks
• Track LLM visibility, mentions, and citations across platforms using cost-effective tools (even on small budgets)
• Understand how GEO KPIs differ from traditional SEO metrics—and how to translate them for clients
• Monitor LLM crawl activity via bot logs—and what patterns to look for
• Select and design tracking prompts that reveal how LLMs “see” your brand over time
• Track conversions, visibility share, and traffic from AI search sources—even when attribution is murky
• Use controlled GEO experiments to isolate what’s working (and avoid false signals)
• Build reporting frameworks that make sense to clients, managers, and stakeholders—so you can confidently show the value of your work

Bonuses

Bonus 1

AI Search KPI Cheat Sheet
So that you know exactly what to measure in AI search—and how to explain it to clients or stakeholders.

Bonus 2

AI Brand Visibility Analysis Tool
So that you can instantly assess how your brand appears across LLMs—without digging through prompts manually.

Bonus 3

AI Search Forecast Calculator
So that you can quickly estimate your AI search volume using a unique formula specifically created by Crystal Carter.

Bonus 4

LLMs.txt Bulk Assessor
So that you can check and audit multiple LLMs.txt files at scale—saving time and staying compliant.

Bonus 5

LLM Optimization Prompt Library
So that you’re never stuck guessing how to test or influence AI responses—just plug in proven prompts and go.

Bonus 6

22-Point Checklist for LLM Optimization
So that you can confidently review your content and spot the gaps—before AI tools do.

Bonus 7

Prompt Tracking Workflow
So that you can build repeatable tracking prompts based on keywords, PAAs, and topics—making LLM monitoring scalable and consistent.

Bonus 8

AI Search Visibility KPIs Cheat Sheet
So that you know exactly what to track and how to track it—especially handy for building reports.

Bonus 9

SEO-to-GEO KPI Conversion Checklist
So that you can quickly adapt your existing SEO metrics into ones that make sense for AI search—and prove you’re driving results.