MathSolver Schema Generator — Route Math Queries to Your App

Generate valid MathSolver JSON‑LD with SolveMathAction, including the EntryPoint URL template and example problems to showcase capability.

Try the MathSolver Generator

Why many solver pages underperform

Pain points we solve

• Search engines don’t know how to call your solver endpoint.
• The query parameter name is wrong or undocumented in markup.
• No representative examples make capabilities unclear.
• Manual JSON‑LD is inconsistent across solver landing pages.

How SwiftSchema helps

Solution

The generator outputs a SolveMathAction with an EntryPoint urlTemplate that includes `{math_expression}` and a `query-input` matching your parameter name.

It supports exampleOfWork entries to showcase typical expressions, plus publisher and image when available.

How it works

How it works

1. Choose MathSolver in the generator below.
2. Enter solver name and canonical URL.
3. Provide a SolveMathAction with an EntryPoint urlTemplate using `{math_expression}` and set `query-input` to `required name=math_expression` (or your param).
4. Add exampleOfWork items with representative expression strings.
5. Copy JSON or Script, paste on the solver page, and validate in the Rich Results Test.

Generate MathSolver JSON‑LD

Paste on your solver landing page. Validate. Ship.

What is MathSolver structured data?

MathSolver combines a

entity with a so Google (and other platforms) know how to pass math expressions into your solver. The structured data specifies the canonical solver name, landing page, supported languages, publisher, and — most importantly — the action endpoint with a query parameter placeholder. When properly implemented, search engines can trigger your solver directly from SERPs, sending users straight into the experience that can evaluate or simplify their expression.

Think of the JSON-LD as an API contract. It tells crawlers, “When you have a math expression, call this EntryPoint with this parameter, and here are example problems we excel at.” Without it, even a powerful solver might look like a thin landing page with generic copy. With it, you demonstrate capability, trustworthiness, and readiness to handle structured queries.

Why solver markup matters

• Better routing: Search engines can deep-link into your solver, improving engagement and reducing bounce rates from generic landing pages.
• Capability signaling:
  exampleOfWork
  entries prove you support algebra, calculus, matrices, etc., which helps search quality teams distinguish you from spammy, thin “solvers.”
• Operational clarity: Structured data forces you to document parameter names, supported languages, and canonical endpoints — reducing drift between engineering and marketing.
• Automation: Once the schema exists, you can build automated tests that confirm every deployment includes the right action template and examples.

Essential properties to include

• @type
  : Keep
  MathSolver
  as the primary type; optionally add
  SoftwareApplication
  if you want to surface app metadata.
• name
  and
  url
  : Use the brand name of the solver and the canonical landing page URL.
• potentialAction
  (
  SolveMathAction
  ):
  • target
    : EntryPoint object with
    urlTemplate
    containing
    {math_expression}
    or your chosen placeholder. Example:
    https://example.com/solve?q={math_expression}
    .
  • inLanguage
    or
    actionPlatform
    : If you support specific languages or platforms, declare them.
  • query-input
    :
    required name=math_expression
    (or whatever parameter name your API expects). Ensure the placeholder in the template matches this string.
• exampleOfWork
  : CreativeWork entries that showcase typical problems (linear equations, integrals, word problems). Include
  text
  and optional
  url
  to worked solutions.
• publisher
  : Organization or Person running the solver. Add
  logo
  and
  sameAs
  to reinforce credibility.
• image
  : Screenshot or icon representing the solver UI.
• isBasedOn
  /
  softwareRequirements
  (optional): Document engines or libraries you rely on (e.g., SymPy, CAS).

Capturing these fields ensures search engines view your solver as robust, not a thin affiliate page.

Preparing content before generating schema

1. Document your solver endpoint: Confirm the exact URL pattern, HTTP method, and parameter name(s). Decide whether you’ll support GET with querystrings, POST bodies, or both (Schema prefers GET with
   urlTemplate
   ).
2. Curate example problems: List 5–10 expressions that represent different difficulty levels and topics. Include both the expression and, if possible, a link to a solution page or explanation.
3. Gather visuals: Capture a high-resolution screenshot of the solver interface or app icon for the
   image
   property.
4. Confirm publisher info: Have the organization name, logo, sameAs profiles, and contact info ready.
5. Define language support: Note which locales you support (en, es, fr, etc.). Search engines prioritize solvers that clearly state language capabilities.
6. Outline onboarding flow: Understand what happens after someone lands from a deep link (terms acceptance, login). Reference it in your page copy so the structured data doesn’t overpromise.

These prep steps ensure the landing page offers substantive content: feature overview, sample problems, privacy details, and support info, all aligned with the JSON-LD.

Implementation workflow inside SwiftSchema

1. Select MathSolver in the generator.
2. Enter the solver
   name
   , canonical
   url
   , and optional
   image
   .
3. Configure
   potentialAction
   :
   • Set type to
     SolveMathAction
     .
   • Provide an EntryPoint
     urlTemplate
     with
     {math_expression}
     placeholder.
   • Set
     query-input
     to
     required name=math_expression
     (or your custom parameter).
   • Add
     inLanguage
     if relevant.
4. Add
   exampleOfWork
   entries. Use short, descriptive text (“Solve 2x + 3 = 7,” “Integrate sin(x) dx,” “Find eigenvalues of [[2,1],[1,2]]”) and optional URLs to explanation pages.
5. Attach
   publisher
   information, including logo and sameAs links for trust.
6. Export the JSON-LD, embed it on your solver landing page, and pair it with WebPage or SoftwareApplication schema as needed.
7. Validate using Google’s Rich Results Test and rerun whenever you change the endpoint or action parameters.

Troubleshooting and QA

• Parameter mismatch: If the placeholder in
  urlTemplate
  doesn’t match
  query-input
  , search engines won’t route queries correctly. Keep a single source of truth for parameter names.
• Non-HTTPS endpoints: Always use HTTPS for solver URLs. HTTP endpoints may be ignored.
• Missing examples: Pages without
  exampleOfWork
  risk being flagged as thin or untrustworthy. Ensure you showcase diverse problems.
• Unavailable endpoint: If your solver is behind auth or rate-limited, provide fallback behavior or ensure the EntryPoint remains accessible to crawlers.
• Language mismatch: Declare
  inLanguage
  accurately. If you only support English but list
  es
  or
  fr
  , you’ll frustrate users and risk quality downgrades.
• Outdated branding: Keep
  publisher
  and
  image
  assets aligned with your product; rebrands require updating both.

Automate QA by running smoke tests that fetch the JSON-LD, extract the

, and send a sample request to confirm the solver responds. Alert engineering if responses fail.

Maintenance and scaling

Math solvers evolve — new problem types, API versions, UI redesigns. Whenever you ship material changes, update both the landing page content and structured data. Keep

current and schedule regular audits to:

• Verify the EntryPoint still works and uses HTTPS.
• Refresh example problems to reflect new capabilities (e.g., 3D graphing, differential equations).
• Update screenshots and logos after UI overhauls.
• Confirm publisher metadata (company name, sameAs links) remains accurate.

If you localize the solver, create per-locale pages with localized exampleOfWork entries and

settings. Maintain a central document or spreadsheet tracking each locale’s endpoint, query parameter, and schema deployment status. For mobile apps, consider also implementing schema and linking it to MathSolver for deeper coverage.

Common Errors & Fixes

• Wrong query param: use
  {math_expression}
  and match your endpoint’s parameter.
• Missing EntryPoint: wrap the target URL in an EntryPoint with
  urlTemplate
  .
• No examples: provide a few representative expressions to guide usage.
• Non-HTTPS or blocked endpoints: ensure your solver is accessible and not disallowed by robots.txt.
• Outdated publisher data: keep organization names, logos, and sameAs links current.

{
  "@context": "https://schema.org",
  "@type": "MathSolver",
  "name": "SwiftSolver",
  "url": "https://example.com/solver",
  "potentialAction": {
    "@type": "SolveMathAction",
    "target": {
      "@type": "EntryPoint",
      "urlTemplate": "https://example.com/solver?q={math_expression}"
    },
    "query-input": "required name=math_expression"
  },
  "exampleOfWork": [
    {
      "@type": "CreativeWork",
      "text": "2x + 3 = 7"
    },
    {
      "@type": "CreativeWork",
      "text": "integrate x^2 dx"
    }
  ]
}