AI Recipe Schema Generator
Generate valid Recipe JSON-LD schema markup for food blogs and recipe sites. Our AI creates structured data for rich results with ratings, cook time.
Recipe Schema Generator
Create valid Recipe JSON-LD markup that triggers rich results with cook times, ratings, and nutrition info in Google search. Enter your recipe details and get production-ready structured data code instantly.
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How Recipe Schema Drives Food Blog Traffic
Recipe rich results are among the most eye-catching search features available, displaying large images, star ratings, cook times, and calorie counts directly in search results. Food blogs with properly implemented Recipe schema consistently outperform competitors in organic search visibility. These rich results also power Google Discover recipe suggestions and voice assistant responses, creating multiple discovery channels for your content.
Creating Complete Recipe Structured Data
Beyond basic properties, include detailed recipeInstructions broken into individual steps, a complete recipeIngredient list with precise measurements, all three time properties (prepTime, cookTime, totalTime) in ISO 8601 format, and nutrition information. Use high-resolution images showing the finished dish. Complete schema data earns more feature-rich search results and increases user engagement with your recipe content.
How to use the Recipe Schema Generator
Complete the visible fields, submit the Recipe Schema Generator, and review the generated result before copying it into another workflow.
Recipe Schema Generator example
Try a short, representative input first so you can compare the response with your source and refine the next run.
Recipe Schema Generator limitations
The result depends on the supplied context. Verify facts, names, requirements, and audience-specific details before publishing or relying on it.
Frequently asked questions
Short answers for this tool before you move into a full branded assistant.
What is Recipe schema markup?
Recipe schema markup is structured data that describes a recipe using the schema.org Recipe type. It includes properties for ingredients, instructions, cook time, nutrition, ratings, and serving size. When properly implemented as JSON-LD, this markup enables rich results in Google search with visual recipe cards showing images, star ratings, cook time, and calorie counts — dramatically increasing click-through rates for food content.
What rich results does Recipe schema enable?
Recipe schema triggers some of the most visually rich search results available. These include recipe cards with images in search results, recipe carousels for broad food queries, Google Discover recipe suggestions, and recipe results in Google Assistant and smart displays. Well-structured Recipe schema with high-quality images and complete data consistently earns premium placement in food-related search queries.
What are the required properties for Recipe schema?
Google requires the name property for Recipe schema, but strongly recommends including image, author, datePublished, description, prepTime, cookTime, totalTime, recipeIngredient, recipeInstructions, recipeYield, and recipeCategory. Including nutrition information and aggregateRating further improves your chances of earning rich results. The more complete your schema, the richer your search result display will be.
How should I format recipe instructions in schema?
Format each instruction as a separate HowToStep within the recipeInstructions array. Each step should have a text property with a single clear action. For complex recipes, group steps using HowToSection with a name like 'Prepare the dough' or 'Make the sauce'. Avoid combining multiple actions in one step. Numbered steps help Google display instructions correctly in rich results and voice assistant responses.
Should I include nutrition information in Recipe schema?
Including nutrition information is highly recommended as it enhances your rich result display with calorie counts and nutritional details. Use the NutritionInformation type with properties like calories, fatContent, proteinContent, and carbohydrateContent. Ensure nutritional values are accurate — Google cross-references this data and inaccurate nutrition claims can harm your credibility with both search engines and health-conscious users.
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