Andreas AhoniemiHead of Digital, Gullström & Co
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Technical SEO

Technical SEO is about a crawler being able to find, fetch and index your pages without obstruction: a correct robots.txt, canonical addresses without conflicts, a sitemap that reflects reality, and content present in the server response. It is the groundwork, and until it is done, content and links rarely produce the effect they should.

Rendering is the most common blocker

A site that assembles its content in the browser can be indexed by Google, but with delay and lower reliability. Several AI crawlers execute no JavaScript at all. Checking what is actually in the server response is therefore the first test, and it is usually what explains why a site is not appearing.

Canonicals and duplicates

The same content on several addresses splits the signals. Filter parameters, versions with and without a trailing slash, and pagination listing the same products again are the usual sources. The work is deciding on one address per piece of content and making every other one unambiguously subordinate.

What the log says

The server log shows which pages crawlers actually fetch and how often, which rarely matches what anyone assumes. Sites with tens of thousands of addresses often spend most of their crawl budget on filter pages that should not be indexed, and that is visible nowhere else.

Common questions about this service

How do we know whether our site has a rendering problem?

Fetch the page without executing JavaScript, with curl for instance, and read what comes back. If the body copy and links are there, the foundation is sound. If the response is an empty element filled in by a script, several AI crawlers see nothing at all, and that is the first thing to fix.

How long before technical SEO shows an effect?

Indexing changes usually appear within weeks, because they affect what can be shown at all. Ranking changes take longer and depend as much on content and relevance. Technical SEO removes obstacles; it does not create demand.

Start with an hour

Bring a process that grates. We walk it together and you get a straight assessment of whether automating it is worth doing.

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