Schema Markup Generator (JSON-LD SEO Tool)

Schema markup audit and generator that turns HTML, JSON-LD, page content, or Search Console errors into validated, ship-ready structured data. Built for SEO specialists, content teams, and webmasters recovering lost rich results and improving AI search visibility. It detects schema issues, flags deprecated types, and generates clean JSON-LD with @graph and @id entity linking. Supports Google AI Overviews, AI Mode, Bing Copilot, and Perplexity with 2026 schema updates and core update changes.

#Marketing#Engineering

Rating

More ratings needed

Sold

How to use

Run on Capafy

Also on external apps

Publisher provides

Claude Sonnet 4.6

Schema Markup: Audit, Build & Fix JSON-LD for SEO & AI Search

Three-mode schema markup workflow: audit existing markup, ship new JSON-LD for any page type, or fix Google Search Console errors. Every output validates against the live schema.org spec, qualifies for Google rich results where applicable, and is structured for citation by AI answer engines (Google AI Overviews, Google AI Mode, Bing Copilot, ChatGPT Search, Perplexity).

Who it's for

Technical SEO auditing legacy JSON-LD on a large site, where deprecated types, broken connections between schema blocks, and date-logic errors have piled up over years.
Content team shipping a new article, product page, or how-to guide, who needs copy-paste JSON-LD that validates today and won't silently break under the next Google deprecation.
E-commerce operator chasing Product, Offer, Review, and AggregateRating markup across product pages, categories, and merchant feed integrations.
Blogger or publisher whose FAQ rich snippets vanished from search results last week, trying to figure out whether it's a Google rule change, a deprecation, or something else.
Local business webmaster assembling LocalBusiness, location, and opening-hours markup while fighting WordPress or Shopify plugins that overwrite each other.
SEO consultant triaging client Search Console reports and needing to separate real field errors from deprecated-but-harmless markup before billing for fixes.

What you can do with it

Mode 1 — Audit existing schema

Paste a URL, page HTML, or a raw JSON-LD block. When you paste a URL, the skill fetches the page automatically — no copy-pasting source code required. You get back:

Every schema type detected on the page
Errors and missing required fields, ranked by rich-result impact
Deprecated types flagged for cleanup
Date-logic problems (dateModified earlier than datePublished, expired event dates, etc.)
Broken cross-references between schema blocks that quietly break how Google reads your entities
A prioritized fix list

Mode 2 — Ship new schema

Describe the page, paste the HTML, or name the schema type you need. You get back complete, copy-paste-ready JSON-LD blocks — never a field list, always the full block ready to drop into your page's <head>.

Supported types: Article, Product, Organization, Person, LocalBusiness, FAQPage, HowTo, Recipe, JobPosting, Event, VideoObject, BreadcrumbList, SoftwareApplication, and more.

CMS-specific deployment guidance covers WordPress, Webflow, Shopify, and headless setups — including which plugins to use, which to avoid, and how to prevent plugin overwrites.

Mode 3 — Fix Search Console errors

Paste the error message or screenshot. You get back:

The exact field that's broken and why
Corrected JSON-LD ready to deploy
A per-fix change log explaining what changed and why
Detection of secondary errors that often appear after the first fix is deployed

What's different about this skill

Validated against the live spec, not memory. Schema.org evolves, required fields change, types get deprecated. Every output validates against a May 2026 schema knowledge base — including recent Google deprecation waves and the March 2026 Core Update that tightened rich result eligibility across thousands of sites.

Built for AI search citation, not just rich results. Most schema tools optimize only for visual SERP features. Outputs here are structured with the entity-identity and source-credibility patterns that AI answer engines look for when deciding which sites to cite.

Always the full block, never a field list. Every implementation output is complete JSON-LD ready to paste into your <head>. No assembling fragments, no guessing at syntax.

Per-fix change logs. When something gets fixed, you see exactly what changed and why — reviewable, defensible to a client, reusable as a learning artifact for your team.

Entity-building patterns included. Connected structures linking Organization, Person, Article, and Website — the pattern Google and AI engines use to resolve who runs the site, who wrote the content, and what entity is being discussed.

How it works

Drop in any input — a URL, full HTML, just the <head>, a raw JSON-LD block, a page description, or a Search Console error message.
The skill picks the mode based on what you sent and what you asked for: audit, ship new, or fix errors.
You get back deliverables matched to that mode: validated copy-paste JSON-LD, change logs, prioritized fix lists, and CMS-specific deployment guidance.

No setup, no account, no plugin. Paste in, get back working schema.

Output formats

Mode	What you get back
Audit	Detected schemas, error list, missing required fields, deprecation flags, prioritized fix list
Ship new	Full copy-paste JSON-LD block for the requested page type, plus CMS-specific deployment notes
Fix errors	Corrected JSON-LD, per-fix change log, secondary-error check