Local seo with georadius schema generator – complete with areaserved schema
Georadius schema auto generated. Schemawriter.ai generates georadius schema in a defined radius from your companys address. The georadius schema is a part of the localbusiness schema, that contain all the company information. Full example below.
Georadius schema editor
schemawriter has a built in georadius schema editor. It makes it very easy to add cities and postal codes in the intuitive web interface. The changes can be seen reflected real time in the schema in the right side of the screen.
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Fast georadius schema generation
It takes less than 30 seconds to produce the georadius schema, complete with a very large list of postal codes and citynames. If you compare this to the task of manually collecting all these postal codes and citynames, you can appreciate the timesaver it is to use the automated georadius schema feature. For a local business that operates in a radius of 30km, the manual task of collecting all the information, and write it into schema without errors would take hours.
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Georadius schema for local seo combined with local business schema
Georadius schema is essential for getting better results in local seo. If you are doing seo for local businesses, and want to improve and increase their visibility in Google Maps and Google Search, then georadius schema is one of the main things to implement in their website.
schemawriter.ai builds out complete localbusiness schema, and incorporates the georadius schema with postal codes and citynames. Full localbusines schema example is included at the bottom of this page.
Localbusiness schema that includes the georadius schema has the following properties from schema.org:
- geo – this includes the geocoordinates of the place. schemawriter use the geocoordinates version, and insert the lattitude and longitude of the company.
- address – this includes streetAdress, adressRegion, and other specific details of the companys location. schemawriter uses the Google Places api, to fill out these fields automatically.
- areaServed – this describe the area or region where your company is doing business.
- geocircle – a specific geoShape used to describe the circular geographical area your company is doing business in.
- georadius – the radius of the above mentioned circle, your company is doing business in. In schemawriter this is measured in kilometers.
- postalCode – all the postalcodes inside of the geoCircle. The postal codes are used to describe the area for Google. The postalcodes explain expicitly what area you serve.
- containsPlace – this is used to include all the citynames and the citya area names included in the geoCircle where you company does business. The places include urls to describe what or where the place is. In schemawriter, these urls are the Wikipedia, Wikidata, Google Knowledge Graph and Google Maps urls.
Postal codes / zip codes
Postal codes, also called zip codes, is a part of the schema markup, where you define what areas your business operate in. In the postal codes part, you insert a complete list of the postal codes. This explains to Google and other crawlers, that your company is doing business in the cities and city areas with these postal codes. The reason this is an effective way to use georadius schema is, the postal codes are unique in that country and state. In other words, postal codes is an unambiguous way of showing the area where you operate.
schemawriter.ai find the postal codes based on the company address. schemawriter.ai use several specialized api services to crawl the maps for postal codes in the surrounding area of the company address. You specify the address, and the radius in which you operate, and schemawriter finds the postal codes.
The code for postal codes is very simple and looks something like this:
"postalcode":
[
"S66 8QB",
"S66 8ET",
"S65 4LT",
"S66 2UY",
"S65 4LY",
"DN11 9HA",
"S26 7YT"
]
Containsplace - schema markup with citynames and points of interest
The schema markup containsplace is used to indicate that a certain place or area includes or contains other places. In the case of georadius schema, the containsplace is used to describe the region or area your company does business in, by including the cities and points of interest in the schema. schemawriter.ai scrapes the surrounding areas of your business address, to locate the citinames and points of interest.
Allthough its optional to include the points of interest in the schema code, we do recommend it. The points of interest are things like local restaurants, hotels and tourist attractions. They give Google and other search engines more details on where you do business, and what areas and cities you explicitly service.
Citynames and points of interest are both being put inside the schema markup, and schemawriter also identifies the google maps url, the Wikipedia and the Wikidata url. If the place is a known entity in Wikipedia, we also include the Google knowledge graph url. This gives a very precise definition of the place.
An example of the containsplace schema looks like this:
"containsPlace": [
{
"@type": "City",
"name": "Reno",
"url":
["https://en.wikipedia.org/wiki/Reno%2C_Nevada",
"https://www.wikidata.org/wiki/Q49225",
"https://www.google.com/search?q=Reno%252C_Nevada&kgmid=/m/06kx2",
"https://www.google.com/maps/search/?api=1&query=Reno%2C_Nevada"]
}.
"@type": "City",
"name": "Sparks",
"url": ["https://en.wikipedia.org/wiki/Sparks%2C_Nevada",
"https://www.wikidata.org/wiki/Q211629",
"https://www.google.com/search?q=Sparks%252C_Nevada&kgmid=/m/0xdb_",
"https://www.google.com/maps/search/?api=1&query=Sparks%2C_Nevada"]
}
]
In the above example you can see two cities, their citynames, and the 4 urls, that schemawriter produce. The Wikipedia, Wikidata, Google knowledge graph and Google Maps url.
Areaserved, geocircle and georadius schema
Schemawriter offer the option to enter citinames, postal codes and the georadius manually. Of you have the subscription Agency subscription level, you can enter the radius of the local business, and schemawriter combines the above information into the areaserved and georadius schema.
The maximum radius is 50 km, and that can provide you with a very thorough georadius schema, that contains up to hundreds of local entities in the schema markup. An example of a company with a georadius of 30km is shown below:
"areaServed": {
"@type": "administrativearea",
"@id": "https://www.companyname.com/#areaserved",
"geo": {
"@type": "geocircle",
"georadius": "30000",
"postalcode": [
"89439",
"89523",
"96118",
"89452"
]
},
"containsPlace": [
{
"@type": "City",
"name": "Sparks",
"url": ["https://en.wikipedia.org/wiki/Sparks%2C_Nevada","https://www.wikidata.org/wiki/Q211629","https://www.google.com/search?q=Sparks%252C_Nevada&kgmid=/m/0xdb_","https://www.google.com/maps/search/?api=1&query=Sparks%2C_Nevada"]
},
{
"@type": "City",
"name": "Subway",
"url": ["https://en.wikipedia.org/wiki/Subway","https://www.wikidata.org/wiki/Q297686","https://www.google.com/search?q=Subway&kgmid=/m/0f7q4","https://www.google.com/maps/search/?api=1&query=Subway,5015+South+McCarran+Boulevard%2C+Reno"]
}
]
},
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Boosting Google maps visibility with georadius schema and schema iframes
Its possible to utilize the georadius schema to improve maps visibility in several ways. The most obviouis way is to include the georadius schema combined into the localbusiness schema that schemawriter generates, and place this schema on the service page of the business website, that’s operating in the area that the georadius describes.
Another option is to use schema iframes. Once a report has been run for a particular keyword, and for a targetpage, you have an option to create the schema iframe. Inside the schemawriter report, navigate to the tab called iframe. If you want to boost the local visibility, you insert the share url of your GBP, in the URL field, and the entire advanced schema is put inside the iframe. You can then share this iframe in web2 links, cloud links, guest posts, and everywhere, where you can embed html code.
Localbusiness schema with georadius schema
The below code is an example of a complete localbusiness schema produced by schemawriter. In this example, an example real life business was used. The schema includes the @id, which means the schema markup is prepared to be used for node interlinking. Node interlinking means, that the localbusiness schema is referenced in various other parts in the schema code. When you run a schemawriter report for your target keyword, the webpage schema is automatically built together with the localbusiness schema.
The code is 250 lines long, and has all the basic parts of schema and the advanced georadius schema parts.
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