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Schema Type Recommender

Paste page text or a URL and AI recommends the best Schema.org types, explains the priority, and drafts JSON-LD for the top missing opportunities.

How it works

A short, focused workflow — input, run, read the result.

  1. Paste a page or URL

    Add the visible page copy, product details, article body, or a public URL.

  2. Add context

    Mention page type, business category, or existing schema if you know it.

  3. Review recommendations

    See detected page type, prioritized schema suggestions, and rationale.

  4. Copy JSON-LD

    Use the drafted JSON-LD as a starting point and validate it before publishing.

What is Schema.org structured data, and why does the right type matter?

Schema.org is the vocabulary Google reads to understand a page beyond its visible content. The right type makes rich results possible (FAQ dropdowns, product ratings, recipe cards, HowTo steps). The wrong type either does nothing or triggers a manual action. Choosing the right Schema.org type is a prerequisite before any structured data work.

Schema.org is a shared vocabulary of types and properties published by Google, Microsoft, Yahoo, and Yandex. When you mark up a page with JSON-LD using these types, you give search engines a structured map of what the page contains: this is a Product with a price, an availability, and 47 reviews; this is a Recipe with a cook time, ingredients, and nutrition; this is an FAQPage with 8 questions. Google uses the markup to power rich results and to feed its AI Overviews.The choice of type is the most common mistake. Mark up a product page as an Article and you miss the product rich result. Mark up a recipe as a HowTo and you miss the recipe card. Mark up a service page with Product schema and you risk a manual action because the schema describes content that is not actually on the page. Every page has 1-3 Schema.org types that fit, and the rest are noise.Our recommender takes your page content, page type, business category, and any existing schema, then returns the prioritized Schema.org types the page should use. Each recommendation includes rationale, the priority order, and a draft JSON-LD block for the top 1-2 types. You review the suggestions, copy the JSON-LD into your CMS, and validate before publishing. Use it as the planning step before running a schema generator.
800+
Schema.org types in the catalog
1-3
Recommended types per page
30s
Average recommendation time

What this schema type recommender covers

The prioritized Schema.org types a page should use, with rationale and draft JSON-LD.

  • Page type detection — the recommender reads your page content or URL and infers the page type (article, product, recipe, FAQ, local business, etc).
  • Prioritized schema types — 1-3 Schema.org types ordered by relevance and rich result eligibility. Top of the list is the highest-impact one.
  • Rationale per type — a one-sentence reason each type is recommended. Useful for explaining the choice to clients or stakeholders.
  • Draft JSON-LD — starter JSON-LD for the top recommended type. Edit, validate, and paste into the page head.
  • Existing schema check — if you already have schema on the page, the recommender flags overlap and missing types instead of duplicating.
  • Rich result eligibility note — each type is labeled with the rich result it enables (FAQ dropdown, product card, HowTo steps, etc).
  • Quality warning — the recommender flags any type that would mark up content not visible on the page. Misleading markup is the most common manual action trigger.
  • Validation reminder — the output reminds you to validate the generated JSON-LD in Google's Rich Results Test before publishing.

Who uses this schema type recommender

Anyone planning a structured data rollout needs to pick the right type before writing the markup.

In-house SEOs

You're adding structured data to 50 pages and need to pick the right Schema.org type per page.

Run the recommender per page type, build the type matrix, brief the dev team with the JSON-LD blocks.

Agencies

A new client has no schema on their site and you need a structured data plan before any code work.

Generate the type recommendations across the priority pages, hand the plan to the dev team as a deliverable.

Developers

You're shipping a CMS template and need to know which Schema.org types each post type should emit.

Run the recommender on a sample of each post type, ship the JSON-LD emitter in the template, no manual tagging.

Bloggers

You added FAQPage schema to a post that did not actually have an FAQ section. Google ignored it.

Run the recommender, switch to the right type, ship markup that matches the visible content.

Ecommerce managers

Your product pages have Article schema instead of Product. You're missing the product rich result.

Run the recommender, swap to Product, validate the JSON-LD, ship the markup update.

Local businesses

You want a LocalBusiness rich result but do not know which Schema.org subtype fits your business.

Run the recommender, get the right subtype (Restaurant, MedicalBusiness, LegalService), ship the markup.

Related glossary terms

Want a deeper dive? These glossary entries explain the concepts behind this tool.

Frequently Asked
Questions

Everything you need to know about schema type recommender.

It reviews page content and suggests the Schema.org types most likely to match the visible content and SEO goal.

No. A generator creates markup for a chosen type; this tool helps decide which type or types the page should use first.

It drafts recommendations and JSON-LD. Use a validator or SERPView's FAQ Schema Validator to verify final markup before publishing.

Misleading or unsupported schema can be ignored or create quality issues. Mark up only content that is visible and accurate on the page.

No. Structured data can make a page eligible, but Google decides whether to show a rich result.

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