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AI-SEO vs Traditional SEO

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1.1 Two Crawlers, Two Paradigms

Traditional search engine crawlers (Googlebot, Bingbot) work like this:

1. Crawl HTML pages
2. Analyze keywords and link structure
3. Build an index
4. Rank results using algorithms like PageRank
5. Return a list of links when users search

AI agent crawlers (ChatGPT-User, Claude-Web, etc.) work like this:

1. Read structured data (Schema.org, JSON-LD)
2. Read llms.txt for a site overview
3. Evaluate trust signals (the same signals measured by OTR score dimensions)
4. Understand product information semantically (not keyword matching)
5. Directly answer user questions or execute purchases

Core differences:

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1.2 How AI Evaluates an E-Commerce Site

When an AI agent visits your website, it checks the following (in priority order): Layer 1: Basic Accessibility

• Is the SSL certificate valid?
• Does robots.txt allow AI crawlers?
• How fast does the page load?

Layer 2: Structured Data

• Does it have Schema.org Product markup?
• Is the markup format correct? Are fields complete?
• Is there an llms.txt?
• Is there a Sitemap?

Layer 3: Trust Signals

• Is DNS security configuration complete?
• Is the business identity verifiable?
• What is the quality of policy pages?
• What is the site’s track record?

These three layers correspond to the S, D, and T dimensions of OTR. AI agents may not directly call the OTR API, but they evaluate similar signals.

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1.3 AI-SEO Maturity Model

Where does your site stand? Most e-commerce sites are at Level 0-1. Reaching Level 2 already puts you ahead of 90% of competitors.

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Self-Assessment: What Level Are You?

• Visit yourdomain.com/robots.txt — are AI crawlers allowed?
• On a product page, open DevTools and search for application/ld+json — is there Schema.org markup?
• Visit yourdomain.com/llms.txt — does it exist?
• Check orbexa.io/verify — what is your trust score?

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Next chapter: Technical Infrastructure — Complete configuration guide for SSL, DNSSEC, DMARC/SPF/DKIM