Welcome to the world of SEO, where Google is the unchallenged master and the rest of us just its puppets – commanders. Gone are the days of algorithm frustration!

It’s time for a more efficient solution: the automatic and fast creation of relevant and SEO-optimized texts for category and filter pages. Combine your customers’ search results with your product information and link user needs directly to your online store’s offering.

SEO – a permanent bottleneck

The importance of SEO texts and filter texts is undeniable. Whether it is provided by a trained squad of SEO experts, a partnership with an agency or an egg-laying marketing wool-milk cow – SEO is practiced more or less professionally in every company, with varying degrees of success.

But regardless of the approach, they all have the same problem: creating and maintaining category pages that meet current SEO standards and at the same time fulfill the specific needs of their target groups is tedious and time-consuming. The constant change in search algorithms, the requirements for high-quality, relevant content and the need to present products effectively present companies with an ongoing challenge.

Stopping SEO means burying your store.

However, everyone should be aware of the fact that SEO is essential for online success by now. It is therefore time to turn our attention to the really important things – the solutions to these challenges!

The content of the category pages is an essential part of a comprehensive SEO strategy. We are also happy to help you with a comprehensive strategic alignment of your content.

Good to know: The importance of SEO

Increase visibility and reach

An effective SEO strategy can ensure that the website is seen by potential customers in search results. This increases the outreach of the brand and reaches more people.

Generate organic traffic

SEO helps to drive organic traffic to a website by improving the website’s position in search engine rankings.

Build trustworthiness and credibility

Websites that are ranked higher in the search results are often seen as more trustworthy and credible. A good ranking in the search results can therefore strengthen users’ trust in the brand.

Cost saving compared to paid advertising

In contrast to paid advertising, organic traffic through SEO does not have to be paid for every click. In the long term, SEO can therefore be more cost-effective than paid advertising.

Secure a competitive advantage

In an increasingly digitalized world, a strong online presence is crucial to a company’s success. With a good SEO strategy, you will stand out from your competitors and gain a competitive advantage.

SEO texts: Automated category pages

The solution to the problem is lying at the doorstep of most companies without them even knowing it: The sensible use of their data!

By combining your own product data with external data – the relevant long-tail keywords – it is possible to capture the needs and search habits of the target group more precisely. In this way, products can be presented in a more targeted way and individual solutions can be offered that appeal directly to customers by creating SEO-relevant texts on this basis.

But first back to the data: Many companies already have extensive data sets. But even high-quality data in product information management (PIM) can be wasted if it is not in a suitable form. This is where the KeywordNaicer comes into play, putting the data into the right form and thus enabling it to be used optimally.

The KeywordNaicer converts long-tail keywords into machine-readable formats and automatically aggregates relevant category data from product data.

With this data as a basis, SEO-relevant category texts can be generated. The result is precise and complete content that is optimally tailored to relevant search queries and highly relevant to potential customers – so content can be continuously updated at the touch of a button.

How it works

Input of longtail keywords

First, the relevant long-tail keywords are supplied, which will serve as the basis for creating the category pages. Long-tail keywords are specific search terms or phrases that are used less frequently but in a more targeted way. They are crucial for precisely capturing the interests and needs of the target group. It is therefore important that the keywords are specific enough to cover relevant search queries, but at the same time have sufficient search volume to be SEO-relevant.

Selection of products

In this step, the products to be presented in the new category are selected. This includes defining the products that fit the respective category thematically and are relevant for the target group. The selection of products forms the basis for the design of the category pages and enables the KeywordNaicer to tailor the content specifically to the selected products. The unique features and benefits of the products are emphasized in order to increase the attractiveness of the category pages for potential customers.

Structuring and enrichment of data

To ensure a smooth process, we first take the long-tail keywords supplied and convert them into machine-readable data formats that can be efficiently processed by our system. The associated category data is then automatically aggregated on the basis of the keywords. The relevant information required to create the category pages is automatically compiled. This ensures that the content of the category pages is precise and complete, optimally tailored to the relevant search queries and highly relevant to potential customers.

Automatic generation of texts

Once the data is available in machine-readable form, the category texts are generated automatically using the Text Robot. SEO-optimized texts for the category pages are created based on the information entered. The relevant information on the selected products is integrated and combined with the long-tail keywords to ensure that the category pages are optimally tailored to the needs and search queries of the target group.

Delivery of the new category texts

To complete the process, the generated category texts are delivered to the desired destination, whether it is an online store, a product information management system (PIM) or another destination. This allows the new content to be seamlessly integrated into the online presence and benefit from its SEO optimization.

Global use: Automated and localized

The Keywordnaicer is developed to be suitable for all international markets. This means that category pages can be created not only for one country, but also for international markets and different language regions. Regardless of whether companies are globally oriented or present in individual countries, the Keywordnaicer can adapt and optimize the category pages accordingly to meet the needs and search queries of the respective target groups.

Adaptation to local conditions

Not only the linguistic differences between different countries are taken into account, but also cultural characteristics and local search trends. The category pages created are therefore not only linguistically correct, but also culturally sensitive and tailored to local needs. This allows you to ensure that content is relevant and appealing in every market and every language region.

An example: Search behavior in Spain differs from that in Mexico, although Spanish is the national language in both countries. If you search for “zappatillas” (sneakers) in Spain, you search for “tenis” (sneakers) in Latin America.

Search behavior varies not only in vocabulary, but also from region to region. People look for different products in different regions, depending on factors such as climate zone or geographical location, for example whether they live in the mountains or on the beach. Certain product groups may not have a relevant search volume in one country, but may have one in another.

A simple translation without localization using well-known translation tools would have had a negative impact on the visibility of the online store.

Example: Automated category pages on a keyword basis

We received data from a company for 1400 to 1900 category websites from its German, Spanish and English webshops, each with one keyword phrase per data set.

The requirements for the texts were simple: the original keyword phrase had to appear as a headline, and the keywords or keyword phrases had to appear twice in the body text.

One challenge was that there were no existing category clusters in the original data, which was crucial for the architecture of the text automation project. In order to realize the project, category attributes had to be created first, which were generated from the given keyword phrases.

The KeywordNaicer was used to create a data model that formed the basic structure of the text concept. As the existing data was not structured with keyword phrases, it was enriched by adding new structured attributes.

The keywords and keyword phrases were integrated organically into the automated texts without compromising the diversity and overall quality of the texts.

Secure automation in the world of Google and co.

After the major Google Core Update in March 2024, the security of AI texts is just as important as the importance of SEO. However, there is still uncertainty about how secure automated texts actually are and will be in the future.

There are currently numerous strategies to protect AI-generated texts from being recognized. But how can we ensure that our texts continue to be protected in the future? The solution is as simple as it is complex: our texts are classified by Google as human texts – because that’s basically what they are. Every text, every variation and every synonym is written by our copywriters, while the algorithm enables high scalability.

Here you can read more about the differences between AI, NLG and Co.

Since our texts are created by human hands, they are not in danger of being penalized by search engines.

SEO advantages

By using automated category and filter texts, companies can use their data efficiently and create high-quality category pages with minimal effort. These pages are not only SEO-optimized, but also precisely tailored to the needs and search queries of the target group.

The advantages of this AI approach are numerous: it saves time and resources, enables scalable content creation for international markets and improves the visibility and reach of the website.

The advantages of automated category texts at a glance

Always up to date
The content of the category pages is always up to date thanks to automation, as new keywords and products are automatically integrated.

Little effort
The automated texting of category and filter texts saves time and resources, as the process requires only minimal manual intervention.

Transferable to other country markets
The KeywordNaicer makes it easy to transfer automated texting to other country markets, as it can be flexibly adapted to different languages and regions.

Regular update
Thanks to automated texting, the category pages can be regularly updated and adapted to meet the requirements of search engine algorithms.

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