Math Solver Structured Data: Complete Implementation Guide

Why Use MathSolver Schema?

• Appear as a featured maths solver in Google Search results when users search for help with specific problem types.
• Drive highly targeted traffic from students, educators, and professionals actively seeking maths assistance.
• Differentiate your tool from generic results by explicitly declaring the categories of problems you can solve.
• Increase engagement by signalling to users that your site offers step-by-step solutions, not just final answers.
• Support Google's educational content initiatives, positioning your platform as a trusted learning resource.

Required Properties

These properties are required by Google for MathSolver structured data to be eligible for rich results.

Recommended Properties

Adding these properties improves your chances of appearing in rich results and provides more context to search engines.

JSON-LD Example

Here is a complete MathSolver structured data example you can use as a starting point. Or use our MathSolver generator to create one automatically.

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "MathSolver",
  "name": "MathsHelper Equation Solver",
  "url": "https://www.mathshelper.co.uk/solver",
  "description": "A free online maths solver that provides step-by-step solutions for algebra, calculus, and trigonometry problems at GCSE and A-Level.",
  "mathProblemType": [
    "Algebra",
    "Calculus",
    "Trigonometry"
  ],
  "potentialAction": {
    "@type": "SolveMathAction",
    "target": "https://www.mathshelper.co.uk/solver?q={math_expression}",
    "mathExpression-input": "required name=math_expression",
    "eduQuestionType": [
      "Algebra",
      "Calculus",
      "Trigonometry"
    ]
  },
  "educationalLevel": "A-Level"
}
</script>

How to Implement MathSolver Schema

1. 1Identify the specific maths problem types your tool can solve. Only declare types where your solver reliably produces correct, step-by-step solutions.
2. 2Add a JSON-LD script block to the main page of your solver tool. If you have separate pages for different topics (e.g. /algebra, /calculus), add MathSolver markup to each.
3. 3Set the mathProblemType property to an array of supported categories. Use the exact values specified by schema.org: Arithmetic, Algebra, Geometry, Trigonometry, Calculus, or Statistics.
4. 4Include a potentialAction of type SolveMathAction with a target URL template. The template should contain a placeholder for the maths expression input.
5. 5Add a clear description and, where relevant, the educationalLevel to help Google serve your tool to the right audience.
6. 6Test your markup with Google's Rich Results Test and verify that the solver page is accessible and functional for Googlebot.

Common Mistakes to Avoid

• Claiming mathProblemType values that your solver does not actually support — this violates Google's guidelines and can lead to manual actions.
• Adding MathSolver markup to pages that only display static content or articles about maths, rather than an interactive solving tool.
• Using an incorrect or non-functional target URL in the potentialAction, preventing Google from linking users to your solver with their query pre-filled.
• Omitting step-by-step solution output from the solver itself — Google expects solvers to show workings, not just final answers.

Testing & Validation

Before deploying your MathSolver structured data, validate it using these tools:

1. 1Google Rich Results Test — Paste your page URL or code snippet to check if your structured data is eligible for rich results.
2. 2Schema Markup Validator — Validates your JSON-LD syntax against the schema.org specification.
3. 3Google Search Console — After deployment, monitor the Enhancements report for any errors or warnings.

Frequently Asked Questions