Key Capabilities & Technical Specifications
Built to adhere to production benchmarks, RFC standards, and modern web application protocols.
LLM Parsing Diagnostic
Evaluates DOM semantic structure and content hierarchy to ensure AI scrapers can parse primary content without hallucination.
JSON-LD Schema Verification
Checks for the presence of Organization, WebSite, FAQPage, and Service structured data schemas essential for AI grounding.
AI Crawler Accessibility Check
Inspects robots.txt directives for GPTBot, ClaudeBot, PerplexityBot, and Google-Extended crawl permissions.
Direct Citation Readiness Score
Scores the presence of factual statistics, quantitative benchmarks, and definitive authoritative statements that LLMs cite.
Recommended Best Practices & Quality Guidelines
Use clear, factual, declarative sentences at the start of paragraphs so LLM summary algorithms can easily extract key takeaways.
Implement comprehensive JSON-LD schemas linking your business to verified knowledge graph entities (Wikidata, LinkedIn, Crunchbase).
Do not block AI search engine user-agents in robots.txt if your marketing strategy includes organic generative search discovery.
Frequently Asked Questions
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