# SEO Landing Pages

Jobfront runs automated processing on every job posting, to extract locations, industries, and job tags (based on your job filters)

We run this processing via our own and off-the-shelf AI tools, particularly for 1) locations, 2) industries, and 3) job tags

We also include these pages in every jobfront board site map

<div><figure><img src="/files/ot9UOmWoPKj42KtYKCKs" alt=""><figcaption></figcaption></figure> <figure><img src="/files/1IA4cxJXuj13PUeU13mA" alt=""><figcaption></figcaption></figure></div>

<div><figure><img src="/files/gUdWN7sJMzxeemrAzyKK" alt=""><figcaption></figcaption></figure> <figure><img src="/files/63NHvGyhKBXytf9M8cc9" alt=""><figcaption></figcaption></figure></div>

These pages are located here for Product.Jobs (and same url for your job boards):\
<https://jobs.product.jobs/jobs/tags>\
<https://jobs.product.jobs/jobs/locations>\
<https://jobs.product.jobs/jobs/industries>\
\
\[your-jobboard-url]/jobs/tags\
\[your-jobboard-url]/jobs/locations\
\[your-jobboard-url]/jobs/industries


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.jobfront.io/job-boards/seo-landing-pages.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.