Schema Markup for AI Search & Rich Results — Claude Skill Pack

Schema Markup for AI Search & Rich Results is a Claude/Cursor skill pack you install once. Your agent audits a URL’s JSON-LD against the visible page and builds paste-ready Schema.org markup (@graph) for rich results and AI entity clarity — without inventing ratings or FAQ spam.

What’s inside the zip

• SKILL.md — audit steps, JSON-LD pipeline, honesty rules

• Schema audit report template (scored dimensions + parity table)

• JSON-LD @graph template + type-selection matrix

• Content-parity checklist (blocks generate when facts are missing)

• Inject & validate checklist (CMS paste + Google/Schema.org validators)

• Worked example shaped like a real Article audit (labeled EXAMPLE)

• README with Claude Code / Claude Projects / Cursor install paths

• Professional HubDev cover art

What you bring: a live URL (or HTML), your CMS inject method, and only facts that appear on the page. The skill does not log into Search Console or publish for you.

For: SEOs, content leads, founders, and agencies who need honest structured data next to their AI-visibility content work.

Not for: fake star ratings, invisible FAQ schema, or ranking guarantees.

Pairs well with HubDev’s Citation Hub + GEO/AEO skill (content + citeability). This pack is the technical schema layer.

FAQ

Does this guarantee Google rich results? No — it improves eligibility and catches mismatches; Google still decides.

Is this a ChatGPT prompt pack? No — it’s an agent skill (SKILL.md + templates) for Claude/Cursor.

Will it invent AggregateRating? No — ratings and reviews are refused unless visible on the page.

Do I need coding skills? No — you paste JSON-LD where your CMS allows custom schema.