Semantic HTML & Hierarchy
Evaluates H1 to H3 tree validity, semantic landmarks (<article>, <section>), structured list ratios, and canonical metadata.
Run a live technical crawl, LLM fact-density check, and personalized video breakdown in seconds. See why AI search skips your product — and ship the fix in 48 hours.
Four weighted technical pillars govern whether LLMs retrieve, trust, and cite your SaaS pages.
Evaluates H1 to H3 tree validity, semantic landmarks (<article>, <section>), structured list ratios, and canonical metadata.
Audits 10 structured schema types including SoftwareApplication, Organization, FAQPage, pricing offers, and property depth.
Extracts verifiable quantitative claims via LLM inspection alongside HTTPS, HSTS, and Content-Security-Policy trust signals.
We engineer and validate every missing AI retrieval file for your stack so your team drops it in under 15 minutes.
JSON-LD @graph bundle (Organization, SoftwareApplication, Product, FAQPage)/llms.txt & /llms-full.txt markdown retrieval indexesFor funded SaaS & AI teams wanting end-to-end multi-page implementation directly inside your repository or CMS.