Is Your Website Ready for AI? Free GEO Readiness Scanner
Scan any URL to see how well it's optimized for AI search engines like ChatGPT, Perplexity, and Google AI Overviews. Built by Dev Obsessed.
What is Generative Engine Optimization (GEO)?
GEO is the practice of optimizing your website so AI-powered search engines can discover, understand, and cite your content. As AI answers replace traditional search results, GEO readiness determines whether your business gets mentioned or gets invisible.
How Dev Obsessed Optimizes Sites for Modern AI
Dev Obsessed builds AI-optimized sites from the ground up — structured data, proper crawl policies, semantic HTML, and entity signals that make your business discoverable by the next generation of search. Schedule a strategy session to get your site AI-ready.
How Does GEO Scan Work?
Enter any URL and GEO Scan analyzes it across 5 key categories:
- Crawl & Access (20 pts) — robots.txt, AI bot access, sitemap, canonical tags
- Structured Data (25 pts) — JSON-LD presence, entity schemas (Organization, WebSite, Article), parse quality
- Structural Clarity (25 pts) — Heading hierarchy (H1/H2/H3), title tag, meta description
- Extractability (15 pts) — FAQ-style headings, bullet lists, summary keywords
- Trust & Entity Signals (15 pts) — About page, contact info, social profile links
What AI Bots Does GEO Scan Check?
GEO Scan checks your robots.txt for directives affecting these AI crawlers:
- GPTBot (OpenAI / ChatGPT)
- ClaudeBot (Anthropic / Claude)
- Google-Extended (Google AI Overviews)
- CCBot (Common Crawl)
- PerplexityBot (Perplexity AI)
Why Does GEO Matter?
AI-powered search is replacing traditional search results. If your site blocks AI crawlers, lacks structured data, or has poor content structure, AI systems cannot cite or reference your business. GEO readiness is becoming as important as traditional SEO.
How Is the GEO Score Calculated?
Your GEO score is deterministic and transparent. Each of the 5 categories checks specific signals and awards points. The total is out of 100. You get a detailed breakdown with findings, severity levels, and quick wins you can act on immediately.
Key Takeaways
- A score of 70+ means your site is well-optimized for AI discovery
- Scores between 40-69 indicate room for improvement
- Below 40 means AI engines will struggle to understand your content
Who Built GEO Scan?
GEO Scan is a free tool by Dev Obsessed, a software development company specializing in AI-accelerated development. We help businesses build production-grade software fast.
GEO Scoring Metrics — Full Rubric
GEO Scan evaluates your site across 5 categories for a total of 100 points. Each check is deterministic — the same URL always produces the same score.
Crawl & Access (20 points)
Can AI systems find and access your content?
- +5 pts — robots.txt is fetchable
- +5 pts — AI bots (GPTBot, ClaudeBot, Google-Extended, CCBot, PerplexityBot) not globally blocked
- +5 pts — Sitemap found at /sitemap.xml or referenced in robots.txt
- +5 pts — Canonical link present
Structured Data (25 points)
Does your site speak the language AI systems understand?
- +10 pts — At least one JSON-LD script present
- +5 pts — Organization, WebSite, LocalBusiness, or Person schema found
- +5 pts — Article, Service, FAQPage, Product, or HowTo schema found
- +5 pts — Low JSON-LD parse error rate (under 20%)
Structural Clarity (25 points)
Is your content organized for AI parsing?
- +10 pts — Exactly one H1 heading
- +5 pts — At least 4 H2 headings
- +5 pts — Total headings (H1+H2+H3) of 8 or more
- +5 pts — Title tag and meta description present
Extractability (15 points)
Can AI systems pull specific answers from your content?
- +5 pts — FAQ-style headings (What, How, Why questions)
- +5 pts — At least 3 bullet or numbered lists
- +5 pts — Summary, TL;DR, or key takeaway keywords present
Trust & Entity Signals (15 points)
Do AI systems trust who you are?
- +5 pts — About or Team page linked
- +5 pts — Contact information detected (phone, address, or contact page)
- +5 pts — External profile links (LinkedIn, Twitter/X, GitHub)