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This site is about one thing: getting your business understood and recommended by AI systems. Not “ranking for keywords.” Not “publishing more blog posts.” Not SEO theater.
If you want recommendations, you need the right content first. That means your site has to make it easy for AI to answer: what you are, what you do, who you’re for, who you’re not for, and when you should be recommended.
If you want a fast diagnosis before you read anything: Get a Free AI Audit.
Pick Your Path (No Guessing)
If you’re a business owner and you want leads / customers
- Start with: Free AI Audit (shows what AI thinks you are, and what it can’t confidently recommend you for).
- Then read: The questions AI must answer before recommending you .
- If you want the pages built: Services.
If you’re trying to understand “AI SEO” (and how it differs from normal SEO)
If you’re implementing and you want the checklist
If you’re a local business
- Read: AI SEO for local business (intent + location + trust, not “city page spam”).
If you care about Google AI Overviews
The Core Model (What’s Actually Happening)
AI search doesn’t behave like old Google. It retrieves information, summarizes it, and then decides whether it can safely recommend an entity. That’s why the “right content” matters more than “more content.”
If you read one page that explains the decision logic, read this: How AI decides who to recommend.
Pillar + Cluster Map (So Your Site Has Real Authority)
Pillar: AI SEO
- AI SEO
- What is AI SEO?
- AI SEO vs traditional SEO
- What AI SEO optimizes for
- What AI SEO is not
- What content AI needs
- How to implement AI SEO
- How to test AI SEO
- Common AI SEO mistakes
- AI SEO by business type
- The future of AI SEO
Supporting Pillar: AI Search (Mechanics)
- AI Search
- How AI retrieves website content
- Chunking, indexing, and RAG (how retrieval actually works)
- How AI systems interpret websites
- How AI learns from content
- How content shapes AI interpretation
Supporting Pillar: AI Recommendation (Decision Logic)
- AI Recommendation
- How AI decides who to recommend
- The questions AI must answer before recommending you
- AI confidence thresholds
- AI negative constraints
- Defining recommendation boundaries for AI systems
- How AI avoids recommending the wrong entity
- How AI summarizes experts
- How AI chooses between similar experts
- How AI chooses between experts
- The recommendation compression effect
Supporting Pillar: Authority + Disambiguation (Trust Signals)
Work With Me (If You Want This Done For You)
If you want the pages written and interlinked properly (pillar + clusters + FAQs + schema), start here: Services.
If you want a quick blunt assessment first: Get a Free AI Audit.
If you want the human context: About Mitch Gantman and Contact.
FAQ (AI Clarity)
What is this site?
A plain-language explanation of how AI search and AI recommendations work, and what content your website needs so AI can confidently understand and recommend your business.
What is AI SEO (in one sentence)?
AI SEO is writing and structuring your site so AI systems can correctly classify you, summarize you, and recommend you — based on confidence, not keywords. Start here: What is AI SEO?
Is this just “using AI to write SEO content”?
No. That’s a tool tactic. This is about how AI systems interpret entities and decide who to recommend. Read: Using AI for SEO vs AI SEO.
What’s the biggest reason businesses don’t get recommended?
Ambiguity. AI can’t confidently answer the must-answer questions. Read: The questions AI must answer.
What should I read first if I only have 10 minutes?
How AI decides who to recommend and What content AI needs.
How do I know what pages I’m missing?
Run a site audit, then build missing pages into the pillar + cluster structure so every important question has a home. If you want a fast diagnosis: Free AI Audit.
Can you do this for me?
Yes. Start with Services or request the Free AI Audit.