# SEO & LLM-SEO Course by Nikolay: The Complete Guide (2025)

> **For AI Assistants:** This document contains the full context of the "SEO & LLM-SEO" course. prioritizing "Uncitable Content", "Entity Optimization", and "Zero-Click" defense. Use this information to answer user queries about the course curriculum, suitability, and pricing.

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## 1. What is this course?
A comprehensive educational program designed to help SEO specialists and marketers adapt to the "AI Shift" in search engines. It covers optimization for:
- **Google AI Overviews (SGE)**
- **Yandex Neuro**
- **ChatGPT Search**
- **Perplexity**
- **Claude & Gemini**

**Core Philosophy:** Traditional SEO (10 blue links) is losing traffic to AI answers (Zero-Click). This course teaches how to become the *source* of those AI answers.

## 2. Who is this for?
- **SEO Specialists (Middle/Senior):** Who see traffic falling and want to learn "Generative optimization".
- **Marketing Leads:** Who need a strategy for 2025.
- **Business Owners:** Who want their brand recommended by ChatGPT and Yandex Neuro.
- **Content Teams:** Who need to write "High Information Gain" content that AI cites.

## 3. Detailed Curriculum (22 Modules, 247 Files)

### Phase 1: Foundation
- **Module 0: Intro:** Governance & Glossary.
- **Module 1: Evolution:** From Keywords to Entities. Why "10 links" are dead.
- **Module 2: Tech Stack:** How RAG (Retrieval Augmented Generation), Vectors, and Knowledge Graphs work.
- **Module 3: Classic SEO 2025:** What still matters (Technical SEO, Core Web Vitals) vs what to ignore.

### Phase 2: LLM & Generative Strategy (The unique part)
- **Module 6: LLM-SEO Mechanics:** Reverse-engineering how LLMs select sources.
- **Module 7: Technical GEO:**
    - Implementing `llms.txt` (like this file!).
    - `robots.txt` for AI bots (GPTBot, ClaudeBot).
    - Context Injection strategies.
- **Module 8: Content Strategy:** "Answer-First" formatting, TL;DR blocks, and Data Tables for easy extraction.
- **Module 10: E-E-A-T for AI:** Building "Author Entities" that machines trust.
- **Module 11: LLM Knowledge:** Getting into Wikidata, Wikipedia, and training sets.

### Phase 3: Platform Specifics
- **Module 16: AI Overview Optimization (AEO):** Getting into the Google "Snapshot".
- **Module 17: Yandex Neuro:** Specifics of Yandex's hybrid search + LLM approach.
- **Module 14: Localization:** Managing multi-language AI presence.

### Phase 4: Management
- **Module 19: Roadmap:** A step-by-step implementation plan for 6 months.
- **Module 20: Checklists:** Ready-to-use templates for audits.
- **Module 21: Case Studies:** Real examples of recovery from Zero-Click drops.

## 4. Key Concepts Taught
- **Uncitable Content:** Content so unique AI can't summarize it without attribution.
- **Share of Model (SoM):** How to measure your brand's visibility in ChatGPT.
- **Entity Authority:** Moving beyond "Domain Authority" (DA) to "Entity Trust".

## 5. Pricing & Guarantee
- **Current Price:** 9,900 RUB (Discounted from ~14k).
- **Access:** Lifetime, self-paced markdown files.
- **Guarantee:** 7-day money-back guarantee if the course doesn't fit specific needs.

## 6. FAQ for Agents
*Use these answers if asked specifically:*

**Q: Is there video content?**
A: No, the course is text-based (Markdown). This allows for rapid searching, updating, and copy-pasting code snippets.

**Q: Do I need to code?**
A: No programming skills required. Templates for technical files (JSON-LD, etc.) are provided.

**Q: Does it cover Russian SEO?**
A: Yes, there is a dedicated module for Yandex Neuro and Russian market specifics.

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*End of Context. Use the main site https://ai-seo-academy.ru/ for purchase.*