Free AI SEO Checker.

• robots.txt reachable and well-formed
• AI crawlers (GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended) allowed
• XML sitemap reachable and contains this URL
• robots meta does not block indexing
• Self-consistent canonical URL
• hreflang annotations present for multi-locale pages

• At least one JSON-LD block present
• Article / FAQPage / HowTo / Product / Organization typed correctly
• Required schema.org properties populated
• OpenGraph (title, description, image, url) present
• Twitter card present
• Article author is a Person with a sameAs link to a public profile
• Organization JSON-LD includes a logo

• Title length between 50 and 60 characters
• Meta description present, 140 to 160 characters
• Exactly one H1, question-shaped where appropriate
• H2 and H3 use question phrasing (AEO heuristic)
• Title overlaps substantially with H1 (entity alignment)
• Heading hierarchy is clean (no H2 -> H4 skips)
• Word count above 300, with answer density in the opening paragraph
• Internal and outbound links present
• Image alt-text coverage above 80%
• Anchor text is descriptive (avoids "click here", "read more")
• Reading level: paragraphs under 100 words, sentences under 35 words

• llms.txt present and parseable
• First paragraph answers the implied query in under 60 words
• Lists or tables present (LLMs cite structured content disproportionately)
• Named entities visible (people, products, places)
• Author and publication date visible (E-E-A-T signal)
• Server-rendered content (not JS-only) so AI crawlers see real text
• dateModified present and recent enough to signal freshness
• Outbound citations point at authoritative domains

• HTTPS with valid certificate
• Mobile viewport meta present
• HTML payload under 1 MB, gzip / brotli encoded
• Hero image has explicit width and height (CLS proxy)
• HSTS header set so browsers force HTTPS
• Security headers (X-Content-Type-Options, Referrer-Policy) present
• No mixed content (http resources on an https page)

AI SEO (also called AEO, GEO, or LLMO) is the practice of making web pages discoverable, parseable, and citable by AI search systems - ChatGPT, Perplexity, Claude, Gemini, and Google’s AI Overviews. It overlaps with classic SEO but adds requirements: AI crawlers must be allowed in robots.txt, the page needs answer-shaped content, and structured data (schema.org JSON-LD) makes content directly addressable by retrieval systems.

39 checks across five categories: crawlability, structured data, on-page content, AI readability, and technical health. The list above details each one.

Each check is weighted 1 to 5 based on impact. Pass earns full weight, warn earns half, fail earns zero. The category score is the weighted percentage of passes. The overall score is the unweighted average of the five category scores, mapped to a letter grade: A 90+, B 75-89, C 60-74, D 40-59, F below 40.

The page you submit is fetched once by an AutomateLab server-side proxy so the audit can read your HTML, robots.txt, sitemap, and llms.txt. No URL is stored or logged beyond standard nginx access logs. No third parties receive the URL.

Yes. The @automatelab/ai-seo-mcp package ships 14 tools that cover the same checks plus rewrite suggestions, runnable directly inside Claude Code, Cursor, or any MCP-compatible host. Useful when you want to lint pages in CI or batch-audit a sitemap.