Optimise your texts with the Buying Intent Assistant! This intelligent feature automatically adjusts your texts to reflect current search queries. Easily and effectively integrate search trends into your product descriptions and texts. Harness the combined power of your data and search engine trends for maximum success – through automatically generated, high-quality content that converts!
The new Buying Intent Assistant is incredibly easy to use: When using the Textmodel Creator, simply set a theme that will be used for querying and activate the corresponding toggle. As a result, the text templates generated will not only incorporate your training data but also include current search queries related to the theme.
Transparency is essential. Therefore, all the identified trend search terms are displayed before the text templates are generated. Here, you have the option to manually intervene by removing search terms from the list or adding new keywords on your own.
Lean back and relax. Based on the selected terms and your training data, a final text structure is created. By comprehensively covering all current product questions in the automatically generated texts, benefit from increased visibility and better conversion rates.
In reaction to the current developments in e-commerce, we present our innovative approach to content optimisation with the Buying Intent Assistant. The following four use cases are examples of utilising the Buying Intent Assistant for flexible, automated creation and adaptation of content for a large number of texts.
Product Detail Pages are crucial for a successful e-commerce strategy. They provide the final push for potential customers to complete purchases and should clearly and comprehensively present all product information relevant to the purchase. Therefore, your product detail pages should reflect all recent questions around your product, keeping all information – from price to availability – up to date.
Get ready for Google Search Generative Experience (SGE) by automatically integrating the most important search terms of your target audience in product descriptions. With the introduction of SGE, information-rich product detail pages become more important for products to rank high in Google SERPs.
With our Content Automation Platform textengine.io, you can create fully functional text templates in minutes; with the Buying Intent Assistant, you can now uncover and integrate the latest search trends in your text structure. This allows you to easily and quickly adapt your content to current events such as promotions (e.g. Black Friday sales) and seasonality (e.g. winter clearance).
By easily creating a new text template, you can analyse trends and adapt texts and product descriptions to real customer questions. Creating A/B tests around specific search terms helps determine which text structure achieves the highest conversion rate.
In summary, integrating current search trends into product texts has the following benefits:
There are many applications for using the Buying Intent Assistant. Get in touch to learn more.
With the help of generative AI, Google SGE will summarise search results at the top of the SERPs. This update comes with challenges such as potential losses of touchpoints with customers in online shops and declines in search engine visibility. However, the update also holds opportunities for e-commerce companies which provide all relevant information for purchase on product detail pages. More information on Google SGE and its impact can be found Google SGE and in our blog.
For e-commerce companies, Google SGE primarily affects the visibility and thus the conversion of individual products. As the assembly of purchase relevant information shifts to the top of the SERPs, touchpoints with the customer in your own shop are reduced. Use our SGE impact calculator to get an initial indication of the potential impact of reduced organic traffic on the revenue and get in touch to learn more.
The topic used to query current trending search terms is set in the first step of the Textmodel Creator in the field "Define the topic of your text."
Based on the topic or main keyword defined by you in the first step of the Textmodel Creator, we query trending search terms at Google Suggest. Through the buying Intent Assistant, the results are added to the Textmodel Creator to inform the final text structure.
We limit the display to a maximum of the 20 most common and relevant search terms. This number may vary depending on the number of possible results.
The Buying Intent Assistant is available in German and English. It adapts to the respective linguistic search patterns. If you need to create text models in other languages, it is possible to first create a text model in German or English and then translate it into all common European and selected Asian languages. Get in touch if you have a specific project in mind.
The search terms and trends are used to create the ideal text structure corresponding to the most recent search or buying intent displayed on Google. This method ensures that your final text template incorporates both your data (e.g. from your PIM system) and recent search trends into its structure. That way, all relevant questions about your products are answered directly in the product descriptions. The Buying Intent Assistant is not a tool that automatically and indiscriminately inserts keywords into your texts, avoiding "keyword spamming," which is penalised by search engines with reductions in visibility.