What is llms.txt and why does it matter for AEO?

llms.txt is a proposed standard file placed at the root of a website, similar to robots.txt, that provides AI-specific instructions. It helps language models understand what a site is about, what content is available, and how to properly attribute information.

AEO Analyzer — Free AI Engine Optimization Analysis Tool

Is your site optimized for AI engines?

AEO Analyzer is a free tool that scores your website across six AI optimization categories — structured data, content clarity, entity authority, citability, topical depth, and technical AEO — and provides actionable recommendations to improve your visibility in AI-generated responses from ChatGPT, Perplexity, Google AI Overviews, and Claude.

How AEO Analysis Works

The AEO Analyzer evaluates your website in three steps to produce an actionable AI optimization report.

Crawl & Extract — We fetch and analyze your site's HTML, metadata, schema markup, robots.txt, and llms.txt to understand how AI engines see your site.
AI Evaluation — We assess how AI engines like ChatGPT, Perplexity, and Google AI Overviews would interpret, extract, and cite your content based on real signals.
Score & Recommend — Get an overall AEO score from 0 to 100 with prioritized, actionable recommendations to improve your AI visibility.

The Six AEO Categories

AEO Analyzer scores your website across six categories that determine how well AI engines can discover, understand, and cite your content.

Structured Data & Schema — JSON-LD markup, schema.org annotations (Organization, WebSite, Article, FAQ, HowTo), Open Graph tags, and Twitter Cards that help AI engines understand your content type and context.
Content Clarity & Structure — Semantic HTML, heading hierarchy (H1-H3), concise answer paragraphs, ARIA accessibility attributes, noscript fallbacks, and content organization for easy AI extraction.
Entity Authority & Recognition — Brand presence in knowledge graphs like Wikidata, consistent entity information via sameAs links, Organization schema, publisher attribution, and authoritative source signals.
Citability & Source Quality — Author expertise (E-E-A-T), datePublished/dateModified metadata, factual sourcing, citation-friendly formatting, FAQ structured data, and original research or data.
Topical Authority & Depth — Content cluster completeness, internal linking architecture, FAQ sections, glossaries, definition lists, HowTo schemas, and comprehensive topic coverage.
Technical AEO — AI crawler access via robots.txt (GPTBot, ClaudeBot, PerplexityBot), llms.txt file for AI-specific instructions, canonical URLs, HTTPS, mobile viewport, noscript fallbacks, and sitemap availability.

What is AEO?

AI Engine Optimization (AEO) is the practice of optimizing your online presence to be discovered, cited, and recommended by AI systems — the next evolution beyond traditional SEO. Learn the key terms in our AEO Glossary.

AEO vs SEO: Key Differences

Factor	Traditional SEO	AI Engine Optimization (AEO)
Goal	Rank in search results pages	Be cited in AI-generated responses
Content format	Keyword-optimized pages	Concise, extractable answer paragraphs
Structured data	Helpful for rich snippets	Essential for AI content understanding
Authority signals	Backlinks and domain authority	Knowledge graph presence and E-E-A-T
Technical	Googlebot crawlability	GPTBot, ClaudeBot, PerplexityBot access + llms.txt
Measurement	Rankings and organic traffic	AI citations, mentions, and referral traffic

As users shift from search engines to AI assistants for information discovery, websites that are optimized for AI engines gain a significant competitive advantage in visibility and traffic. See our FAQ for common questions.

AI-First Discovery — Users increasingly find information through AI assistants like ChatGPT and Perplexity rather than traditional search engines.
Growing Impact — AI-driven traffic and citations are becoming a significant source of brand visibility.
Different Rules — AI engines prioritize clarity, authority, and structured data differently than traditional search.
Competitive Edge — Early adopters of AEO gain significant advantages as AI usage grows exponentially.

Frequently Asked Questions

Common questions about AI Engine Optimization and how the AEO Analyzer can help improve your AI visibility. For technical terms, see the AEO Glossary.

What is AI Engine Optimization (AEO)?

AI Engine Optimization (AEO) is the practice of optimizing your online presence so that AI systems like ChatGPT, Perplexity, Google AI Overviews, and Claude can discover, understand, and cite your content. It focuses on structured data, content clarity, entity authority, and technical factors that help AI models surface your information.

How does the AEO Analyzer work?

The AEO Analyzer fetches your site's HTML, robots.txt, and llms.txt, then evaluates six categories: Structured Data, Content Clarity, Entity Authority, Citability, Topical Depth, and Technical AEO. It produces a score from 0 to 100 with prioritized recommendations.

What is the difference between SEO and AEO?

SEO focuses on ranking in traditional search results. AEO focuses on being discovered, cited, and recommended by AI assistants. AEO prioritizes structured data, concise content, entity authority in knowledge graphs, and technical factors like llms.txt.

Is the AEO Analyzer free to use?

Yes, completely free. Analyze any website and receive a detailed AEO score with actionable recommendations at no cost.

What factors affect AI Engine Optimization?

Key factors include JSON-LD structured data, content clarity with concise answer paragraphs, entity presence in knowledge graphs, author expertise signals (E-E-A-T), topical authority through content clusters, and technical factors like robots.txt and llms.txt.

What is llms.txt and why does it matter?

llms.txt is a proposed standard file at the root of a website that provides AI-specific instructions, similar to robots.txt but for language models. It helps AI systems understand your site and properly attribute your content.

Which AI engines does AEO target?

All major AI systems including ChatGPT (OpenAI), Claude (Anthropic), Perplexity AI, Google AI Overviews, Microsoft Copilot, and other AI-powered search products.

How often should I run an AEO analysis?

Monthly or after significant content or technical changes. The AI landscape evolves rapidly, and regular monitoring helps maintain your AI visibility.

Can AEO help my small business?

Absolutely. AI assistants often recommend specific businesses in response to user queries. Optimizing structured data, entity recognition, and content clarity increases the chance AI systems mention your business.

AEO Glossary

Key terms and concepts in AI Engine Optimization that every website owner should understand.

AEO (AI Engine Optimization): The practice of optimizing your online content and technical setup so that AI systems can discover, understand, and cite your information. Distinct from traditional SEO.
AI Citability: The likelihood that AI models will reference and quote your content in their responses to users. High citability requires clear formatting, authoritative sourcing, and factual accuracy.
Entity Authority: How well AI knowledge graphs (such as Wikidata and Google Knowledge Graph) recognize and trust your brand, organization, or entity.
E-E-A-T: Experience, Expertise, Authoritativeness, and Trustworthiness — the quality signals that AI engines and search engines use to evaluate whether a source is credible enough to cite.
llms.txt: A proposed standard file placed at the root of a website (like robots.txt) that provides AI-specific instructions. It helps language models understand what a site is about and how to attribute its content.
JSON-LD: JavaScript Object Notation for Linked Data — the preferred format for embedding structured data markup on web pages. AI engines parse JSON-LD to understand content type, authorship, and relationships.
Knowledge Graph: A structured database of entities and their relationships (e.g., Wikidata, Google Knowledge Graph) that AI systems reference to understand real-world concepts, brands, and people.
Schema.org: A collaborative vocabulary for structured data markup. Using schema.org types (Organization, Article, FAQ, HowTo) helps AI engines categorize and extract your content accurately.
Content Cluster: A group of interlinked pages covering a core topic comprehensively. AI engines favor sites with strong topical clusters over thin, isolated content.
AI Crawler: A bot operated by an AI company (e.g., GPTBot by OpenAI, ClaudeBot by Anthropic) that crawls websites to index content for use in AI-generated responses. Access is controlled via robots.txt.