Answer Engine Optimization: Frequently Asked Questions

If you're new to all of this, start here. These are the questions people actually ask when they're first learning about AEO — answered plainly, with links to a deeper explanation wherever you want to go further.

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What is AEO?
Answer engine optimization is the practice of making your website understandable and citable to AI systems like ChatGPT, Perplexity, and Google's AI Overviews — the same way SEO made sites understandable to search engines. [Read the full explanation →]

Why isn't my site visible in AI answers?
Most likely because your site hasn't been set up with the visibility files and structured data these systems rely on to understand what you offer. A well-designed, well-ranked site can still be effectively invisible to answer engines if this layer is missing. [Read the complete guide →]

What are AI visibility files?
Small background files — like llms.txt and JSON-LD structured data — that describe your website to AI systems in a format they can read directly, separate from how the page looks to a human visitor. [Read the full explanation →]

How does llms.txt work?
It's a plain-text file, similar in concept to robots.txt, that gives AI systems a direct summary of your site's purpose and content so they don't have to infer it from your page design. [Read the full explanation →]

What is JSON-LD?
A structured data format embedded invisibly in your page's code that spells out specific facts about the page — its type, its content, its author — in a format machines parse instantly. [Read the full explanation →]

Why do FAQ pages help AI search?
Because they're already in the question-and-answer shape AI systems are looking to lift answers from, making them some of the most easily citable content on a website. [Read the full explanation →]

How do help articles improve AI citations?
The same reason FAQs do — they directly answer specific questions in plain language, which matches exactly what an AI system is trying to extract when it forms an answer. [Read the full explanation →]

What is the best schema for AI Overviews?
FAQ schema and structured Q&A markup tend to perform especially well, since they mirror the direct-answer format AI Overviews already use. [Read the full explanation →]

How do I make my website machine-readable?
By adding AI visibility files (like llms.txt and JSON-LD structured data) alongside your existing site — this doesn't change your design, it adds a background layer AI systems can read. [Read the full explanation →]

How do I get cited by Perplexity?
Largely the same fundamentals — clear structured data, direct answer-style content, and a crawlable, trustworthy site structure. The same steps that help with Google AI Overviews and ChatGPT tend to help here too.

How do I get cited by Google AI Overviews?
Similarly — strong structured data, clear question-based content, and technical crawlability all improve your odds of being pulled into an AI Overview.

How do I structure a knowledge graph?
By clearly defining the key entities on your site — your business, your products, key people or locations — using structured data that explicitly labels what each one is and how they relate. [Read the full explanation →]

What is a canonical source of truth?
The single, authoritative version of your content that systems are meant to treat as the "real" source — important when your content might appear in multiple places (your site, a GitHub mirror, etc.). [Read the full explanation →]

How do I mirror content without duplicate-content issues?
By clearly marking one version as canonical, so search and answer engines know which copy to treat as the authoritative source. [Read the full explanation →]

How do I generate per-page code?
Through tools that automatically produce the structured data and metadata each individual page needs, rather than writing it by hand for every page on your site.

What pages should be indexed for AI?
Generally, any page that answers a real question your audience is asking — service pages, FAQ pages, and help articles tend to matter most. [Read the full explanation →]

How often should AI visibility files be updated?
Whenever your core offerings, pages, or key information change — treat them as a living reflection of your site, not a one-time setup.

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Want the full picture of how all of this fits together? [Read the complete guide →]

Want to see this done automatically for your own site? [See how AE Optimizer sets this up for your site →]

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### Note on implementation
This page should be marked up with FAQPage schema (JSON-LD) so AI systems and Google can parse it as structured Q&A content, not just plain text. Each `[Read the full explanation →]` link routes to its matching cluster page below:

| Question | Links to |
|---|---|
| What is AEO? | What Is Answer Engine Optimization? |
| Why isn't my site visible in AI answers? | AEO Tools for Websites Guide |
| What are AI visibility files? | What Are AI Visibility Files? |
| How does llms.txt work? | What Is llms.txt? |
| What is JSON-LD? | What Is JSON-LD? |
| Why do FAQ pages help AI search? | Why FAQ, Help Articles & Q&A Pages Matter |
| How do help articles improve AI citations? | Why FAQ, Help Articles & Q&A Pages Matter |
| What is the best schema for AI Overviews? | What Is JSON-LD? |
| How do I make my website machine-readable? | What Are AI Visibility Files? |
| How do I structure a knowledge graph? | What Are AI Visibility Files? |
| What is a canonical source of truth? | GitHub Pages Mirroring for AEO |
| How do I mirror content without duplicate-content issues? | GitHub Pages Mirroring for AEO |
| What pages should be indexed for AI? | How AI Crawlers Interpret Structured Data |

The remaining four questions (Perplexity citation, Google AI Overview citation, per-page code generation, update frequency) don't yet have a dedicated cluster page — they're answered fully in place here for now. These are natural candidates for standalone pages later if Search Console or analytics show people searching for them specifically.