How BrisTechTonic Adds Structured Data (Schema) To A Page

What the skill does: Detects what kind of page it is (blog post, product, service, FAQ, local business, etc.). Decides which schema.org types apply (Article, FAQ, LocalBusiness, Product, Organization, BreadcrumbList, etc.). Pulls required data from the page and client context. Generates complete and valid LD+JSON. Validates against schema.org + Google Rich Results requirements. Outputs paste-ready <script> blocks.

Why it matters: Schema is how Google understands what a page IS, not just what words are on it. AI Overview citations increasingly source from pages with proper structured data — the engine trusts schema-annotated content. Rich results in classic SERP (FAQ accordions, recipe cards, review stars) depend entirely on schema.

What's new: Detects which types apply automatically — no manual 'do we need Product schema?' decision per page. Audits existing schema first — finds what's wrong, not just what's missing. Validates before output — paste-ready, not 'should work'.

Use cases: Every new page launch. Existing page with no schema. Rich result eligibility (FAQ accordion, How-To steps, Review stars). AI Overview citation prep. Schema fix on a page that broke after a CMS update.

Constraints: 200-400 words, UK English, no em dashes, no client names, generic example (e.g. a coaching company's homepage and one service page).