How Brands Win AI Search with LLM SEO
The "New SEO" Levels
SEO Fundamentals
Master structured content and schema as AI-overviews rise.
Entity Optimization
Master structured content and schema as AI-overviews rise.
Structured Data Setup
Add schema markup and llms.txt so AI models cite your content.
Authority Citations
Get mentions in Wikipedia, trusted media, & LinkedIn insights.
Source Attribution
Craft content likely to be referenced inline by AI tools like Perplexity.
Content Refresh & Updates
Update facts and stats so AI platforms like ChatGPT and Perplexity cite accurately.
AI Visibility Audit
Test your presence across ChatGPT Search, Perplexity, Copilot, and AI Overviews.
Optimize for GEO/AEO
Use generative engine (GEO) and answer-engine (AEO) tactics for AI visibility.
AI Content Hub
Organize topic clusters enriched with Reddit, Quora, YouTube, and forum sources.
Engagement Signals
Drive community interaction on LinkedIn, Reddit, Quora to boost discoverability.
Topical Depth & Clusters
Create in-depth hubs addressing clusters of queries like AEO demands.
Consistency Check
Keep message consistent across Wikipedia, blog, and AI-sourced citations.
Multi-Channel Presence
Maintain visibility via YouTube explainers, podcasts, Reddit AMAs.
Optimize for LLM Citations
Write structured, inline-friendly content that AI loves to quote.
You're ready to dominate AI Search
The "New SEO" Levels!
Frequently Asked Questions
What are the two levels of LLM SEO?
Level 1 builds the AI-Search Base: SEO fundamentals, entity optimization, authority citations, AI visibility audits, engagement signals, and multi-channel presence. Level 2 optimizes for Generative Engines: structured data, source attribution, content refresh, GEO/AEO tactics, AI content hubs, and LLM citation optimization.
Why do I need Level 1 before Level 2?
AI systems build on traditional search signals. Without solid fundamentals—structured content, entity recognition, authority—Level 2 optimizations have nothing to amplify. Level 1 creates the foundation; Level 2 extends it into AI-specific visibility.
What is entity optimization?
Entity optimization ensures AI systems recognize your brand, products, and concepts as distinct entities. This requires consistent naming, schema markup, Wikipedia/knowledge graph presence, and clear entity definitions across your content.
How do I run an AI visibility audit?
Test your brand and product queries in ChatGPT, Perplexity, Copilot, and Google AI Overviews. Document when you appear, when you don't, and when information is incorrect. This reveals gaps between your SEO performance and AI visibility.
What are AI Content Hubs?
AI Content Hubs are topic clusters organized specifically for AI retrieval—comprehensive coverage of a topic area enriched with diverse sources (Reddit discussions, Quora answers, YouTube content, forum threads). They signal topical authority to AI systems.
Why does content refresh matter for AI?
AI systems favor current, accurate information. Outdated facts, old statistics, and stale content lose citation priority. Regular updates signal to AI that your content is maintained and trustworthy—improving citation likelihood.
What makes content "inline-friendly" for LLMs?
LLM-friendly content has clear, quotable statements, structured formats (FAQs, definitions, lists), neutral tone, and standalone sections that make sense when extracted. AI can cite this content directly without needing surrounding context.
How long does the full LLM SEO roadmap take?
Level 1 foundations typically take 2-3 months to establish properly. Level 2 optimization is ongoing but shows initial results within 4-6 weeks. Full AI search domination requires 6-12 months of systematic execution across both levels.
Ready to Dominate AI Search Results?
Our SEO agency specializes in Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategies that get your brand cited by ChatGPT, Perplexity, and Google AI Overviews. We combine traditional SEO expertise with cutting-edge AI visibility tactics.