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AEOby Andy Oberlin

Why Your Website Is Invisible to AI (And How to Fix It)

Why Your Website Is Invisible to AI (And How to Fix It)

Here's an uncomfortable truth: your website is probably invisible to AI search engines. Not because it's a bad website — but because it was built for humans and Google, not for ChatGPT, Gemini, and Perplexity.

AI search engines don't crawl your site the way Google does. They don't look at your meta titles, evaluate your backlink profile, or care about your keyword density. They look for structured, machine-readable information they can confidently cite in an answer.

And most websites don't provide that.

What AI Engines Actually Look For

When an AI engine decides whether to recommend your business, it checks for five things:

1. Structured Data (JSON-LD Schema)

This is the #1 factor. JSON-LD schema markup tells AI exactly what your business is, what you offer, where you're located, and how to contact you. Without it, AI has to guess — and it usually guesses wrong, or skips you entirely.

The critical schema types are:

  • Organization — your business name, URL, logo, contact info
  • LocalBusiness or ProfessionalService — address, hours, service area, price range
  • FAQPage — questions and answers AI can directly cite
  • Service — what you offer, described in detail
  • WebSite — your site's name and search functionality

2. FAQ Content with Schema Markup

AI engines are built to answer questions. FAQ sections wrapped in FAQPage schema are the most directly consumable content format for AI. If you have 10 FAQs with schema markup, AI can extract and cite any of them instantly.

3. An llms.txt File

llms.txt is the AI equivalent of robots.txt. It sits at your domain root and tells AI crawlers, in plain structured text, what your business does. Services, pricing, team, differentiators — all in one file. Learn how to create one.

4. Question-Based Content Structure

Headings that start with "What," "How," "Why," "When," "Who" signal to AI that the following content is a direct answer. AI engines parse these as Q&A pairs even without FAQ schema.

5. Content Depth and Freshness

Thin pages with 200 words don't give AI enough to work with. Pages with 800+ words that are regularly updated signal authority. A blog with consistent publishing shows AI that your business is active and knowledgeable.

How to Fix It: 5 Steps

Step 1: Add Structured Data

Add JSON-LD schema to every page. At minimum: Organization, LocalBusiness, and WebSite schemas in your layout. Add FAQPage schema anywhere you have Q&A content. Add Service schema on service pages.

Step 2: Create an llms.txt File

Put a plain text file at yourdomain.com/llms.txt that summarizes your business. Include: business name, what you do, services offered, pricing, location, and contact info.

Step 3: Build FAQ Sections

Add FAQ sections to your homepage and key service pages. Use real questions your customers ask. Wrap them in FAQPage schema. This is the single highest-ROI AEO tactic.

Step 4: Restructure Content as Answers

Rewrite your headings as questions. Instead of "Our Process" → "How Does Our Process Work?" Instead of "Pricing" → "How Much Does It Cost?" This makes your content extractable by AI.

Step 5: Start Publishing Regularly

A blog that publishes weekly with 800+ word articles on industry topics builds the authority AI needs to trust your recommendations. Consistency matters more than perfection.

Check Your Score

Want to know exactly which of these your site is missing? Run our free SEO & AEO audit. It checks every factor above and tells you exactly what to fix.

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