The Ultimate Observation
Schema Generator
Instances of the class Observation are used to specify observations about an entity at a particular time. The principal properties of an Observation are observationAbout, measuredProperty, statType, [[value] and observationDate and measuredProperty. Some but not all Observations represent a QuantitativeValue. Quantitative observations can be about a StatisticalVariable, which is an abstract specification about which we can make observations that are grounded at a particular location and time. Observations can also encode a subset of simple RDF-like statements (its observationAbout, a StatisticalVariable, defining the measuredPoperty; its observationAbout property indicating the entity the statement is about, and value ) In the context of a quantitative knowledge graph, typical properties could include measuredProperty, observationAbout, observationDate, value, unitCode, unitText, measurementMethod.
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Configuration
Live GeneratorWhy use Observation?
Output Panel
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Launch AI GeneratorWhat is Observation Schema?
Instances of the class Observation are used to specify observations about an entity at a particular time. The principal properties of an Observation are observationAbout, measuredProperty, statType, [[value] and observationDate and measuredProperty. Some but not all Observations represent a QuantitativeValue. Quantitative observations can be about a StatisticalVariable, which is an abstract specification about which we can make observations that are grounded at a particular location and time. Observations can also encode a subset of simple RDF-like statements (its observationAbout, a StatisticalVariable, defining the measuredPoperty; its observationAbout property indicating the entity the statement is about, and value ) In the context of a quantitative knowledge graph, typical properties could include measuredProperty, observationAbout, observationDate, value, unitCode, unitText, measurementMethod.
Google uses Observation structured data to understand the content and context of your pages. When correctly implemented, this schema can unlock rich results in Google Search — enhancing your listing with additional information that dramatically improves visibility and click-through rates.
Why Add Observation Structured Data?
Appear in Rich Results
Structured data helps Google show enhanced results for your pages in search — including stars, prices, FAQs, and more.
Boost Click-Through Rate
Rich snippets can increase CTR by up to 30% compared to plain search results — more clicks with the same ranking.
Feed AI Search Engines
AI answer engines like Perplexity and Google SGE use structured data to verify and cite facts from your content.
How to Implement Observation JSON-LD
Generate
Use the form above to fill in your details and generate valid Observation JSON-LD markup in seconds.
Copy
Copy the generated JSON-LD output code with one click — it's already formatted and ready to deploy.
Deploy
Paste the code into your <head> tag, or use SchemaGen's SDK to deploy without touching code.
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Properties You Can Include
Observation schema supports the following schema.org properties. Required fields are the minimum Google needs to consider your markup valid; recommended fields unlock richer search result appearances.
| Property | Description | Expected Type | Status |
|---|---|---|---|
| additionalProperty | A property-value pair representing an additional characteristic of the entity, e.g. a product feature or another characteristic for which there is no matching property in schema.org.\n\nNote: Publishers should be aware that applications designed to use specific schema.org properties (e.g. https://schema.org/width, https://schema.org/color, https://schema.org/gtin13, ...) will typically expect such data to be provided using those properties, rather than using the generic property/value mechanism. | PropertyValue | Optional |
| additionalType | An additional type for the item, typically used for adding more specific types from external vocabularies in microdata syntax. This is a relationship between something and a class that the thing is in. Typically the value is a URI-identified RDF class, and in this case corresponds to the use of rdf:type in RDF. Text values can be used sparingly, for cases where useful information can be added without their being an appropriate schema to reference. In the case of text values, the class label should follow the schema.org style guide. | Text, URL | Optional |
| alternateName | An alias for the item. | Text | Optional |
| description | A description of the item. | Text, TextObject | Optional |
| disambiguatingDescription | A sub property of description. A short description of the item used to disambiguate from other, similar items. Information from other properties (in particular, name) may be necessary for the description to be useful for disambiguation. | Text | Optional |
| identifier | The identifier property represents any kind of identifier for any kind of Thing, such as ISBNs, GTIN codes, UUIDs etc. Schema.org provides dedicated properties for representing many of these, either as textual strings or as URL (URI) links. See [background notes](/docs/datamodel.html#identifierBg) for more details. | PropertyValue, Text, URL | Optional |
| image | An image of the item. This can be a URL or a fully described ImageObject. | ImageObject, URL | Recommended |
| mainEntityOfPage | Indicates a page (or other CreativeWork) for which this thing is the main entity being described. See [background notes](/docs/datamodel.html#mainEntityBackground) for details. | CreativeWork, URL | Optional |
| marginOfError | A marginOfError for an Observation. | QuantitativeValue | Optional |
| maxValue | The upper value of some characteristic or property. | Number | Optional |
| measuredProperty | The measuredProperty of an Observation, typically via its StatisticalVariable. There are various kinds of applicable Property: a schema.org property, a property from other RDF-compatible systems, e.g. W3C RDF Data Cube, Data Commons, Wikidata, or schema.org extensions such as [GS1's](https://www.gs1.org/voc/?show=properties). | Property | Optional |
| measurementDenominator | Identifies the denominator variable when an observation represents a ratio or percentage. | StatisticalVariable | Optional |
| measurementMethod | A subproperty of measurementTechnique that can be used for specifying specific methods, in particular via MeasurementMethodEnum. | DefinedTerm, MeasurementMethodEnum, Text, URL | Optional |
| measurementQualifier | Provides additional qualification to an observation. For example, a GDP observation measures the Nominal value. | Enumeration | Optional |
| measurementTechnique | A technique, method or technology used in an Observation, StatisticalVariable or Dataset (or DataDownload, DataCatalog), corresponding to the method used for measuring the corresponding variable(s) (for datasets, described using variableMeasured; for Observation, a StatisticalVariable). Often but not necessarily each variableMeasured will have an explicit representation as (or mapping to) an property such as those defined in Schema.org, or other RDF vocabularies and "knowledge graphs". In that case the subproperty of variableMeasured called measuredProperty is applicable. The measurementTechnique property helps when extra clarification is needed about how a measuredProperty was measured. This is oriented towards scientific and scholarly dataset publication but may have broader applicability; it is not intended as a full representation of measurement, but can often serve as a high level summary for dataset discovery. For example, if variableMeasured is: molecule concentration, measurementTechnique could be: "mass spectrometry" or "nmr spectroscopy" or "colorimetry" or "immunofluorescence". If the variableMeasured is "depression rating", the measurementTechnique could be "Zung Scale" or "HAM-D" or "Beck Depression Inventory". If there are several variableMeasured properties recorded for some given data object, use a PropertyValue for each variableMeasured and attach the corresponding measurementTechnique. The value can also be from an enumeration, organized as a MeasurementMethodEnum. | DefinedTerm, MeasurementMethodEnum, Text, URL | Optional |
| minValue | The lower value of some characteristic or property. | Number | Optional |
| name | The name of the item. | Text | Required |
| observationAbout | The observationAbout property identifies an entity, often a Place, associated with an Observation. | Place, Thing | Optional |
| observationDate | The observationDate of an Observation. | Date, DateTime | Optional |
| observationPeriod | The length of time an Observation took place over. The format follows `P[0-9]*[Y|M|D|h|m|s]`. For example, P1Y is Period 1 Year, P3M is Period 3 Months, P3h is Period 3 hours. | Text | Optional |
Example Observation JSON-LD
Here's what valid Observation structured data looks like with sample values filled in. Use the generator above to replace these with your own data.
{
"@context": "https://schema.org",
"@type": "Observation",
"name": "Example Observation",
"image": "https://example.com/images/example.jpg",
"url": "https://example.com/page",
"additionalProperty": {
"@type": "PropertyValue",
"name": "Example PropertyValue",
"image": "https://example.com/images/example.jpg",
"url": "https://example.com/page"
},
"additionalType": "Example additionalType",
"alternateName": "Example alternateName",
"description": "A sample description for this Observation.",
"disambiguatingDescription": "Example disambiguatingDescription"
}Validate Your Observation Schema
Once deployed, validate your schema is working correctly with our free audit tool. Paste your URL and we'll check for errors, missing properties, and Google Rich Result eligibility.
Check your Observation schema for errors and Rich Result eligibility