EA Digital Solutions

Ab 1 800

Schema.org Markup for Google Jobs

Job ads that Google indexes and shows directly.

Job ads only appear in Google Jobs if the page delivers correct JobPosting schema markup. That sounds easier than it is: required fields such as datePosted, validThrough, jobLocation and baseSalary are regularly filled in incorrectly or incompletely, which leads to rejections in Google Search Console. We build schema markup generators that automatically deliver job ads from your CMS or database with correct JSON-LD – no manual editing per job. For E-TEC GmbH and TMC Consulting we built a dynamic generator that structures hundreds of job ads fully automatically and brought the error rate in Search Console down to zero. We also cover Organization, BreadcrumbList and FAQPage schema.

Reply within 24 hours · Fixed prices · Office in Graz

200+

Hours saved / month

12%

Margin recovered

100%

Code ownership

<4h

Response time

Typical Challenges

Does this sound familiar?

Stellenanzeigen werden nicht gefunden

Ohne strukturierte Daten erscheinen Ihre Jobs nicht in Google Jobs. JSON-LD Schema.org Markup macht Ihre Stellenanzeigen für Suchmaschinen sichtbar.

Weniger qualifizierte Bewerber

Google Jobs filtert nach Relevanz. Ohne korrektes Markup werden Ihre Anzeigen nicht priorisiert.

Our Solution

How we solve it for you

Job ads appear in Google for Jobs — extra reach without ads

Automatically generated JSON-LD Schema.org markup — no manual upkeep

JobPosting, Organization, salary, location — all required properties

Dynamic from your CMS: create a new ad → schema automatically up to date

Measurable performance: clicks from Google Jobs, applications, conversion tracking

Automatic expiry handling: expired ads disappear from the index

In Detail

What you get — and why it matters

Job ads in Google for Jobs reach applicants directly in Google Search — without job board fees and without paid ads. The prerequisite: your job ads must deliver correct JobPosting Schema.org markup in JSON-LD format. Google validates every required field (title, datePosted, hiringOrganization, jobLocation, baseSalary) and silently rejects ads with errors.

In practice many companies fail on the details: the validThrough field is formatted incorrectly. The jobLocation is missing or only contains the head office instead of the actual place of work. baseSalary isn't stored as a structured object with currency and value. And when jobs expire, the schema stays on the page, causing warnings in Google Search Console.

We solve the problem at its root: instead of writing JSON-LD manually for every job, we build a dynamic schema generator that pulls the data from your existing CMS or job database. Create a new job — the schema is generated automatically. Job expired — the schema is removed automatically. Salary or location changed — the schema is updated immediately.

We implemented such a generator for E-TEC GmbH and TMC Consulting: hundreds of job ads are delivered fully automatically with correct schema, the error rate in Google Search Console has dropped to zero, and the ads appear in Google for Jobs within 24–72 hours.

Why do so many schema implementations fail? The most common errors: datePosted in the wrong format (Google expects ISO 8601: 2026-08-05T00:00:00+02:00, not 05.08.2026). jobLocation with only an addressCountry field instead of the full address with streetAddress, addressLocality and postalCode. baseSalary without the required structure of currency, value.minValue, value.maxValue and value.unitText. And the most common problem: expired jobs whose schema is still on the page — Google shows warnings in Search Console and can devalue all job postings on the domain after repeated violations.

Our dynamic generator solves all of these problems: the data comes from your CMS, the formatting is output correctly automatically, and expired jobs are removed from the markup automatically. We also implement Organization schema (company name, logo, website) and BreadcrumbList schema for the page structure.

Prices: a schema generator for one CMS (WordPress, Payload, Contentful, Strapi): from €1,800 one-off. Integration with applicant tracking systems (Personio, Greenhouse, Lever): from €3,000. Ongoing maintenance is usually not needed — the generator works automatically with every new job you create.

Problems we solve: job ads that don't appear in Google for Jobs because the schema markup is faulty — despite a supposedly correct implementation. Warnings in Google Search Console that have been ignored for months. Expired jobs that are still indexed and send applicants to "position no longer available" pages.

EA Digital Solutions implemented schema generators for E-TEC GmbH and TMC Consulting that deliver hundreds of job ads fully automatically with correct markup. The error rate in Google Search Console has dropped to zero, and new jobs appear in Google for Jobs within 24–72 hours.

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Free initial consultation — 45 minutes, no obligation.

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Measurable Results

What our clients achieve

Based on real client projects — measured, not estimated.

Google Jobs Rich Result

Sichtbarkeit

Schema.org Standard

+0%

Bewerberqualität

Branchenstudie

Real Project

From our portfolio

EA Digital Solutions — Eigene JobPostings

Wir implementieren Schema.org JobPosting für unsere eigenen Stellen und Kundenprojekte.

Stellenanzeigen erscheinen in Google Jobs Rich Results.

Our Process

From first call to go-live — in 4 steps

01

Analysis

Which job types do you have? What CMS structure do you use for job ads?

02

Schema design

A JSON-LD template with every required Google Jobs field.

03

Implementation

Dynamic schema generation from the CMS, tested with Google's Rich Results Test.

04

Monitoring

Index status, appearance in search results and click tracking.

Technologies & Tools

Technology we use daily

Next.js
TypeScript
React
Node.js
PostgreSQL
Prisma
Tailwind CSS
Payload CMS
Docker
Vercel
REST APIs
GraphQL
Weclapp
Shopify
n8n
Make
OpenAI
Stripe
GitHub Actions
Playwright

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