Structured data that is validated before you paste it.
It picks the schema type that fits, generates the JSON-LD, and validates it by machine rather than by eye.
5 steps · runs on demand · added to your workspace as a draft
Chosen, built, checked
The right type first. Valid JSON last.
Markup that doesn't parse is worse than none. So a Code step parses it before you see it.
01 · The page is read for evidence, not guessed at.
02 · Four types, each scored against what's actually on it.
03 · Numbered steps and a time estimate. It's a HowTo.
04 · The JSON-LD is written from the live page.
05 · Then a Code step parses it, line by line, before you ever see it.
example.com/docs/setup · read from the live page
6 numbered stepsa time estimateno price on the pageno question headings
Article
fit 38
FAQPage
fit 12
HowTo
fit 94
Product
fit 8
schema.jsonldCode step · JSON.parse
{✓
"@context": "https://schema.org",✓
"@type": "HowTo",✓
"name": "Set up AI visibility tracking",✓
"totalTime": "PT10M",✓
"step": [ … 6 HowToStep … ]✓
}✓
✓ parses · @type reads HowTo · paste-ready script tag
In, and out
You give it a page URL. This is what comes back.
- Shape
- 5 steps
- On demand
- run mode
- 1
- click to add
1<script type="application/ld+json">2{3 "@context": "https://schema.org",4 "@type": "HowTo",5 "name": "Set up AI visibility tracking",6 "step": [7 { "@type": "HowToStep", "name": "Add your domain" },8 { "@type": "HowToStep", "name": "Pick buying questions" }9 ]10}11</script>
Illustrative output.
What it does
Pre-built, then yours to customize.
Add it to your workspace in one click. Sensible defaults and example inputs are already filled in.
Reads from · writes to
- Any public URL
- Schema.org
The template, step for step
- Trigger
- Web scrape
- LLM call
- Code
- Notify
Added to your workspace as a Draft, with example inputs filled in. Every step is yours to change.
- 01
The right type for the page, chosen from its content
- 02
Machine-validated — no malformed JSON
- 03
Populated from the live page, so it never describes something absent
- 04
Delivered as a complete, paste-ready script tag
The steps
What happens on every run.
- fetch_live_page
- choose_schema_type
- generate_jsonld
- validate_json
- save_script_block
5 steps · Runs on demand0 / 5
Run history keeps each step's output and runtime, and the input of every step that completed.
Before & after
The time this gives back.
The templates that publish put a Human review step before the CMS step, and nothing ever posts to Reddit for you. Review is a step, not a lock: a workflow you build or edit can publish or message a channel without one, so add it wherever you want the sign-off.
Doing it by hand
~1.75 hrs
Schema markup generator
~5 min
Doing it by handyour team
- Deciding which type applies~25m
- Hand-writing the JSON-LD~50m
- Fixing validation errors~30m
Per page, by hand~1.75 hrs
Schema markup generatorLive
- Agent reads and picks the typeauto
- Agent generates and validatesauto
- You paste it in~5m
One agent run~5 min
FAQ
Questions, answered.
It picks from the Schema.org types that fit the page it read — commonly Article, FAQPage, HowTo, Product, Organization and BreadcrumbList.
A Filter step parses the generated JSON before the run completes. Structured data that would not parse is caught inside the agent rather than on your page.
No. The JSON-LD is populated from the content of the page it fetched, which is why the fetch step comes first. Schema describing something not on the page is a violation, not a win.
Free to start
Add this agentto your workspace.
Start free. Customize the steps, run it on demand or on a schedule, and approve anything that ships.