Structured Data Planner
Free structured data planner that maps content types to the most relevant schema.org schemas — Article, Product, FAQ, LocalBusiness, HowTo, Recipe, Event, Person, Organization. Outputs a prioritized implementation checklist ranked by Rich Results impact, so you know exactly which schema markup to add first and which can wait. The planner covers nine common site archetypes, flags Google-eligible Rich Result types, and ships ready-to-paste JSON-LD blocks for each schema. In other words, it replaces the "which schema do I need?" guesswork with a concrete schema strategy document. Run it before a structured data audit, when migrating CMS, or whenever you publish a new content cluster.
Why This Structured Data Planner
Most schema selectors either dump the entire schema.org vocabulary on you or hide picks behind a paid platform. This tool is opinionated, free, and prioritizes by Rich Results ROI. Here is how it compares to the usual options.
| Capability | This planner | Schema.org docs | Yoast schema | Schema App |
|---|---|---|---|---|
| Site-type schema selector | Yes, 9 archetypes | No, raw vocabulary only | Auto, WordPress only | Yes, paid plan |
| Rich Results eligibility flag | Yes, per schema | No | Partial | Yes |
| Prioritized implementation checklist | Must / Recommended / Optional | No | No | Yes |
| Copy-paste JSON-LD examples | Yes, every schema | Some | Hidden behind plugin | Yes |
| Cost & signup | Free, no signup | Free, reference only | Free + paid tiers | $$$ subscription |
Why Structured Data Matters for Your Site
Structured data helps search engines understand your content beyond the text on the page. When you add schema markup, you are explicitly telling Google what entities exist — products, articles, events, reviews, organizations — and how they relate to each other. Therefore, the planner output doubles as a structured data audit blueprint: it tells you what you should have in place and what is missing.
The most tangible benefit is Rich Results. Pages with valid schema can earn enhanced search listings with star ratings, prices, FAQ accordions, recipe cards, and event dates. These results consistently achieve higher click-through rates than standard blue links.
However, not every schema type triggers rich results. Google only supports a specific subset of schema.org types for enhanced display. This planner distinguishes between types eligible for Rich Results and those that simply help engines understand context. Both have value, but prioritizing Rich Results-eligible types gives you the fastest ROI.
Moreover, structured data is becoming crucial for AI-powered search. As Google's AI Overviews, Bing Copilot, and other AI search features grow, they rely on structured data to extract facts and cite sources. Sites with comprehensive schema markup are more likely to be cited in AI-generated answers. Once you implement, validate every page with our Schema Markup Validator — planner picks the schemas, validator confirms the JSON-LD is correct. For supporting technical SEO, see our guides on canonical URLs, Core Web Vitals, and crawl budget.
Frequently Asked Questions
A structured data planner is a tool that maps your content type to the schema.org schemas that matter for it, then ranks those schemas by impact. Instead of reading the entire schema.org vocabulary, you tell the planner what kind of site you run and it returns a focused implementation checklist with JSON-LD examples and Rich Results eligibility flags.
Start by classifying the page, not the site. A blog uses Article on posts, Organization on the homepage, BreadcrumbList everywhere, and FAQPage on Q&A pages. An ecommerce store uses Product on PDPs and Organization site-wide. The planner automates this mapping for nine common archetypes. For ambiguous pages, default to the most specific type that fits — Google rewards specificity.
BlogPosting is a subtype of Article, so anything BlogPosting can do, Article can also describe. For Rich Results, Google treats them equivalently, however BlogPosting is more semantically precise for editorial content with regular cadence. Use BlogPosting for blog posts, NewsArticle for time-sensitive news, and Article as a generic fallback when neither fits cleanly.
Yes, and you should. A typical product page combines Product, Offer, AggregateRating, Review, and BreadcrumbList. Combine them either as separate <script type="application/ld+json"> blocks or as a single graph using @graph. The graph approach lets you reference shared entities by @id — for example, the same Organization referenced from Article publisher and Product seller.
Use SoftwareApplication as the primary type, with applicationCategory (BusinessApplication, SecurityApplication, etc.), operatingSystem, and an Offer block for pricing. Add Organization for the company entity, BreadcrumbList for navigation, and FAQPage if the landing page has a Q&A section. For free trials, set Offer price to 0 and include a separate Offer for the paid tier.
Product is mandatory. In addition, include Offer with price, priceCurrency, availability, and priceValidUntil. Add AggregateRating and individual Review nodes for social proof. Use BreadcrumbList for category navigation and Organization site-wide. If you ship internationally, add shippingDetails and hasMerchantReturnPolicy — Google now requires these for the merchant listing experience in 2026.
Use LocalBusiness (or a more specific subtype like Restaurant, Dentist, Plumber) when you have a physical location that customers visit. Required: address, geo coordinates, openingHoursSpecification, telephone. Use Organization for purely online businesses, SaaS companies, and entities without a customer-facing premises. Both can coexist if you have an HQ that customers visit and additional online operations.
FAQPage Rich Results were heavily restricted by Google in 2023 — they now appear only for authoritative health and government sites. However, FAQPage schema still feeds AI Overviews, Bing Copilot, and voice assistants, which are increasingly important traffic sources. Implement it where you have genuine Q&A content. Skip it on thin landings where you would have to invent questions.
Google supports Rich Results for Article, Product, LocalBusiness, FAQPage, HowTo, Event, Recipe, VideoObject, BreadcrumbList, JobPosting, Course, SoftwareApplication, Movie, Book, Dataset, and a handful more. The planner marks each eligible type with a blue badge. The full official list lives in Google's Search Central documentation and changes a few times a year.
Schema markup is not a direct ranking factor — Google has stated this explicitly. However, it qualifies pages for Rich Results, which often achieve higher click-through rates from the same SERP position. That indirect lift, combined with better entity disambiguation and AI Overview eligibility, makes structured data one of the highest-ROI technical SEO investments you can make.
Start with the "Must Have" types from your planner output. These cover the core entities on your pages. Then add "Recommended" types for additional Rich Results opportunities. "Optional" types provide incremental benefit. Quality matters more than quantity — one properly implemented schema is better than five incomplete ones with missing required properties.
Run every page template through two validators. First, Google's Rich Results Test confirms eligibility for enhanced SERP features. Second, our own Schema Markup Validator checks general schema.org conformance, including types Google does not surface. Together they catch about 95% of common mistakes — missing required properties, wrong data types, and malformed nesting.
Yes, completely free, no signup, no limits. Everything runs in your browser — we never see your inputs or outputs. Generate as many plans as you want and copy JSON-LD examples directly into your code or CMS.