FREE TOOL
Free schema markup generator for answer engines
A free Searchmaxxed tool: entity, service and FAQ markup in one block, ready to paste.
THE TOOL
What this tool does
One connected JSON-LD graph instead of three loose blocks. Organisation, service and FAQ are linked by shared identifiers, so an engine can tell who is speaking and attribute the answer to a verifiable entity.
You fill in the business, the service, the address and up to five real questions with answers. We write the graph, link the nodes by identifier, and return a single block to paste into the page head and validate.
WHAT YOU LEAVE WITH
You leave with one connected JSON-LD graph, organisation, service and FAQ linked by shared identifiers, ready to paste into the page head.
JSON-LD
READY WHEN YOU ARE
Your evidence will appear here after the live run finishes.
The panel keeps the primary finding, supporting evidence and next action together so the result is easy to use.
THE SHORT ANSWER
A schema markup generator produces the JSON-LD code that tells search and answer engines what a page covers, who published it and what it answers. This generator emits one connected graph rather than a detached snippet. An organisation or local business, the service it provides, and any FAQ pairs. Shared identifiers link them, and the block is ready to paste into the page head.
WHY
Why this tool exists.
Structured data is how a page states who published it, what the business does and which questions the page answers. Most generators emit one type at a time and skip the entity fields that let an engine connect the page to a real organisation. This one writes a single connected graph.
A generic generator produces one detached type. This produces an organisation, its service and its FAQ answers as one linked graph. It includes the sameAs references that tie the page to a verifiable entity.
What is a schema markup generator?
A form that turns facts about a business into structured data in the JSON-LD format that Google, Bing and the answer engines read. Instead of writing the syntax by hand and validating it later, you supply the values and the generator produces valid markup.
The output goes in the page head inside a script tag. Visitors never see it. It tells a machine that the words on the page belong to one organisation, describe one service and answer specific questions.
Why does a connected graph beat a single type?
Most generators emit one detached type at a time. A site ends up with an organisation block on one page and a service block on another, with nothing tying them together. An engine reading those has two unrelated assertions.
This generator emits an @graph. The service references the organisation by identifier, and the FAQ references the service. The result states that this business provides this service and answers these questions. An engine can follow that claim instead of guessing at three.
Is schema markup still relevant?
Yes, and the reason has shifted. Structured data was once mainly a route to rich results in Google, and some of those results have been retired. Google removed FAQPage rich results in May 2026, so FAQ markup no longer produces the accordion it used to.
What structured data does now is establish entity and attribution. When an answer engine decides whether to quote a page, it needs to know who is speaking. Declared organisation data with references to verifiable profiles is the mechanism that answers that, and it applies whether or not a rich result exists.
Why does a full address change the output?
Google needs a postal address before it treats a LocalBusiness as valid. A generator that emits LocalBusiness without one produces markup that cannot earn a local result. This tool emits LocalBusiness only when you supply a street address, a city and a country. Otherwise it emits Organization and names the missing fields.
An engine reading an incomplete LocalBusiness gives you no warning and no result. Markup that looks correct and markup that works look identical until you check.
Who needs schema markup, and what comes next?
Any business whose site has no structured data, which is most sites outside enterprise. It takes a few minutes and it is the cheapest AEO work available.
Paste the block into the page head, then validate it. FAQ markup needs each answer visible on the page. Marking up answers that are missing risks a manual action.
WHAT YOU GET
You leave with one connected JSON-LD graph, organisation, service and FAQ linked by shared identifiers, ready to paste into the page head.
GENERATE THE MARKUPHOW TO USE IT
Fill in your business, your service and up to five real questions with answers.
Add the profiles that prove the entity exists.
We write one connected JSON-LD graph.
Paste the block into the page head and validate it in Google's Rich Results Test.
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QUESTIONS
What people ask about this tool.
Which schema types does the generator emit?
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Organization for the entity, Service for what you sell, and FAQPage for the questions you supply. All three link into one graph with a single set of identifiers. Add a street address, city and country and the entity comes out as LocalBusiness, which is the type Google needs for a local rich result.
Do I still need to validate the markup?
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Yes. Paste the block into Google's Rich Results Test before you publish. The generator produces valid JSON-LD, but only your live page proves the markup matches what is visible.
Why does it ask for a full address?
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Google needs a postal address before it treats a LocalBusiness as valid. A generator that emits LocalBusiness without one produces markup that cannot earn a rich result. Supply the address and you get LocalBusiness. Leave it out and you get Organization, which is correct.
Can I mark up questions the page does not answer?
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No. FAQ markup requires the answer to be visible on the page. Marking up answers that are not there is a manual-action risk.
Why does the tool ask for profile URLs?
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sameAs references let an engine connect the page to an entity it can verify elsewhere. Without them the markup asserts a name with nothing behind it.
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