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Template

Schema Markup Generated
From the Page Itself

Point Sprites at a URL. It reads the page, picks the schema types that fit, fills the properties from real content, validates the result and stages it on the page through your CMS.

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What this template does

Most schema generators are forms: you type the product name, the price and the rating into boxes and get JSON back. This template skips the form. Sprites reads the page, works out what it is (a product, an article, a FAQ, a how-to, a local business page, an event, a software listing) and extracts the properties from the content that is already there, so the markup describes what the page actually says and does not drift from it later.

Every block is checked before you see it: required and recommended properties for that type, nesting (Organization inside Article, Offer inside Product, Question and Answer inside FAQPage), value formats for dates, prices and currencies, and the rules Google publishes for rich result eligibility. If the page lacks something a rich result needs, such as a visible answer for a FAQ item or a review count for aggregate rating, Sprites says so instead of inventing it.

Because the SEO agent is connected to WordPress, Shopify, Webflow and custom sites, the JSON-LD can be added to the page after you approve it. Existing markup is read first, so conflicts and duplicates are resolved rather than stacked. Run it across a template and Sprites applies the same structure to every page of that type.

Inputs and outputs

What you provide

  • The page URL, or a list of URLs or a whole template such as all product pages
  • Optional: the schema type you want, if you do not want Sprites to choose
  • Optional: organization details used across pages (legal name, logo, social profiles, address)
  • Your CMS connected, if you want the markup published rather than handed back as code

What you get

  • Valid JSON-LD per page, with the type chosen and every property traceable to visible content
  • A validation report: required and recommended properties, format checks and rich result eligibility notes
  • Findings on existing markup: duplicates, conflicts, deprecated types and properties that no longer match the page
  • For templates, one reusable structure and the per-page values filled in
  • The markup staged on the page through your CMS integration, published after approval

How it runs

  1. Step 1

    Read the page

    Sprites loads the page, identifies its purpose and extracts the facts: title, author, dates, prices, availability, ratings, questions and answers, steps, address, opening hours.

  2. Step 2

    Choose the types

    It picks the schema.org types that fit and the nesting between them, and explains the choice. You can override it or ask for a second type where two apply.

  3. Step 3

    Generate and validate

    The JSON-LD is written from the extracted values, then checked for required and recommended properties, formats and Google rich result requirements. Missing prerequisites are reported, not fabricated.

  4. Step 4

    Reconcile with existing markup

    Any schema already on the page is read and compared. Sprites proposes replacing, merging or leaving it, so the page ends up with one coherent graph.

  5. Step 5

    Publish

    After approval, the markup is added to the page through your CMS integration. For templates the same structure is applied across every matching page, and a re-crawl confirms it renders.

Where teams use it

Run this template in Sprites

Frequently asked questions

Which schema types can Sprites generate?

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The types that earn rich results and describe common pages: Article, BlogPosting, Product with Offer and AggregateRating, FAQPage, HowTo, LocalBusiness, Organization, Event, VideoObject, SoftwareApplication, Course, JobPosting, BreadcrumbList and Review. Nested combinations are handled in one graph.

How do I know the markup is valid?

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Every block is checked against schema.org property definitions and the requirements Google publishes for each rich result before you see it. The report lists anything missing or malformed, and you can paste the output into Google's Rich Results Test for a second opinion.

Can it handle pages that need several nested types?

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Yes. A product page with FAQs and breadcrumbs, or an article with an author, publisher and embedded video, is generated as one connected graph with the correct nesting and shared identifiers.

How do I add the markup to my site?

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If your CMS is connected (WordPress, Shopify, Webflow or a custom site), Sprites stages it on the page and publishes after you approve. Otherwise it returns the JSON-LD script block with instructions for where to place it.

Can I run this from Claude or ChatGPT?

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Yes. Sprites ships an official MCP server, so you can generate, validate and publish schema from Claude, ChatGPT, Grok or any MCP-compatible assistant, with the same approval step before anything changes on the page.

How can I check that Google is reading the schema?

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Search Console reports rich result status per type. With Search Console connected, Sprites reads those reports, flags pages with errors or warnings and re-runs the generator on them, so the fix loop happens in the same workspace.

Other prompts that run on the same agent. Browse the full gallery at /templates.

One template is a start. Sprites runs the whole account.

Every template here is one prompt to the same agent that plans, launches and optimizes campaigns across Google, Meta, Microsoft, LinkedIn, TikTok and Reddit, and keeps your SEO moving. Set a goal, approve the plan, and let it run.