The AI Discoverability Stack: How We Got AI Search Engines to Cite Us
We built 4 features that turn a website from a scraped source into a primary citation target for AI search engines. Here is the exact implementation.
Mar 4, 2026•17 min read
AI Open Graph Auditor
Check how your page renders in AI assistants and share previews. Audits Open Graph tags, Twitter Cards, share-image reachability, and JSON-LD coverage. Free, single-use per email.
Verify your email, drop in any URL, and get a 100-point breakdown with prioritized fixes for the metadata that drives every share preview surface.
What we analyze
Core OG Tags
Presence of og:title, og:description, og:image, og:url, og:type, og:site_name. Missing core tags break previews across every share surface.
OG Content Quality
Title length (30-65 chars), description length (110-200 chars), and og:url vs canonical alignment. Length matters because every platform truncates differently.
Twitter Card
twitter:card type plus explicit or fallback twitter:title, twitter:description, twitter:image. X falls back to og:* if Twitter-specific tags are missing.
Image Reachability
Live HEAD check on the share image: HTTPS required, must return 200, must be under 5MB. Most platforms refuse anything else and render text-only.
Schema Alignment
JSON-LD coverage layered on top of OG. AI assistants use Article/Product/Organization/FAQPage for entity disambiguation when OG alone is ambiguous.
How We Score (100 Points Total)
Your Open Graph score measures whether the metadata that drives share previews and AI assistant rendering is present, valid, reachable, and consistent with your structured data.
Core OG Tags
25 ptsOG Content Quality
20 ptsTwitter Card
15 ptsImage Reachability
20 ptsSchema Alignment
20 ptsGrade scale
A: 90-100B: 75-89C: 60-74D: 40-59F: 0-39
