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What is AI Optimization (AIO)?

AI Optimization (AIO) — also known as Generative Engine Optimization (GEO) or Answer Engine Optimization (AEO) — is the practice of making your website legible and citable by large language models (LLMs) such as ChatGPT, Claude, Gemini, Perplexity, and Grok. Unlike traditional SEO, which targets search engine ranking algorithms, AIO focuses on whether an AI system can understand, parse, and confidently cite your content when answering user queries.

As AI-powered search and assistants become the primary way users find information online, websites that are invisible to these systems will lose significant organic traffic and brand visibility. AIO Checker gives you an instant diagnostic of your site's AI readiness, broken down into 7 measurable, actionable metrics.

The 7 AIO Metrics We Check

Our analyzer evaluates your website against the seven most critical signals that AI crawlers and LLMs use to assess content quality and trustworthiness:

• ▸AI Crawler Accessibility — Does your robots.txt allow GPTBot, ClaudeBot, Google-Extended, and PerplexityBot?
• ▸/llms.txt Presence — The emerging LLM discovery standard that tells AI systems what your site is about.
• ▸Schema & Structured Data — JSON-LD markup that enables AI to understand entity types, authorship, and content relationships.
• ▸Meta Tags & Freshness — Open Graph tags, canonical URLs, and article timestamps that signal freshness to LLMs.
• ▸Content Structure & Density — Semantic HTML (H1, H2, H3, article, main), paragraph count, and word count.
• ▸Server-Side Rendering — Whether your content is present in the initial HTML or requires JavaScript execution (which AI bots skip).
• ▸Sitemap Quality — A valid sitemap.xml with lastmod dates helps AI crawlers discover and prioritize your content.

Why Most Websites Score Below 40/100

The vast majority of websites were built for traditional search engines — not for AI systems. The most common failure points are: single-page JavaScript applications (SPAs) that render content client-side (invisible to AI crawlers), missing /llms.txt files (a standard most developers have never heard of), and no JSON-LD structured data to describe content type and authorship.

AIO Checker not only identifies these gaps but provides ready-to-use code snippets for every failing metric. For developers using AI coding assistants, you can export the full report as a structured Markdown file and paste it directly into Cursor, Claude, or any AI assistant to implement all fixes automatically. That's the power of the .md export for vibecoders.