Randstad Case 2026

In this article, we demonstrate what our GEO report reveals about a website’s visibility within AI systems, the opportunities this presents, and how business owners can leverage these insights to strategically enhance their online presence. Thanks to our proprietary data collection, we offer a comprehensive and accurate overview of what is possible in the field of AI visibility. Read on to find out more!

The GEO results will be present in dutch language.

What does this GEO analysis reveal?

The GEO report below examines the visibility of Randstad.nl, a major job board website, within AI-generated responses from platforms such as ChatGPT, Google, and Perplexity. Specifically focusing on the theme of ‘Working Conditions’ (Arbeidsvoorwaarden), the analysis combines two distinct perspectives: search intent and content focus.

The queries are categorized into four search intents, based on the stages of an applicant’s customer journey. Within these intents, the report identifies the most prevalent themes, such as CVs, cover letters, job interviews, and assessments. It then measures how frequently Randstad.nl is cited as a source across each platform, its average ranking position, and the specific stage of the customer journey in which it appears. By analyzing hundreds of AI-generated responses—resulting in thousands of data points—we can draw highly insightful conclusions regarding Randstad.nl’s AI visibility within the ‘working conditions’ search category.

The objective of the report

The purpose of this report is to provide insight into how Randstad performs within AI-generated responses and where opportunities lie to enhance its visibility. Specifically, the report demonstrates:

• How frequently randstad.nl is cited in AI responses
• The average ranking position Randstad occupies when it is mentioned
• Which search intents and themes Randstad shows strong visibility in, and where it is less visible
• Which competing websites are most frequently used as a source

These insights serve as a strategic starting point for making targeted optimizations, ultimately ensuring more frequent and consistent citations across AI platforms.

Which search intents does the report use?

The report utilizes four search intents, based on the step-by-step process individuals go through when moving toward a decision:

• Awareness, orienting and understanding
• Interest, diving deeper and comparing
• Consideration, weighing options
• Action, taking direct action—in this case, applying for a job

These intents are combined with specific content themes, making it clear in which stage of the candidate journey Randstad is or isn’t visible. These are the topics the prompts actually focus on. The majority of the prompts fall under the Awareness stage, accounting for 44 percent. This is followed by Action at 21 percent, while Interest and Consideration are less prominent.

Chart 1: The distribution of the used prompts within the search intents and themes. Use the button at the top to toggle between the search intents and themes charts. This chart is best viewed on a desktop.

How does Randstad.nl perform per platform?

ChatGPT

Randstad has a relatively low presence here, remaining below 15 percent across all search intents. However, when Randstad is mentioned, it frequently secures a strong ranking position. Its visibility is primarily concentrated around queries in the Interest and Consideration stages.

Google (AI Overviews)

Its presence is high within the Awareness and Action stages, and average ranking positions are at their highest here. This indicates a strong alignment between Randstad’s content and the methodology Google uses to generate its AI responses.

Perplexity

This stands out as the strongest platform for Randstad. Here, Randstad performs particularly well on Action-oriented queries. While the average ranking positions are slightly lower than on Google, Randstad maintains a distinct and prominent visibility for the most action-driven queries.

Chart 2: Summary of Randstad.nl’s performance across three AI platforms. Both the presence (share of voice) and the average ranking position within a response are displayed. Use the button at the top to toggle between the three platforms. This chart is best viewed on a desktop.

What does this mean for Randstad?

For Randstad.nl, the analysis presents a mixed picture. On Google and Perplexity, visibility is relatively strong in the Action stage, whereas ChatGPT shows significantly lower presence percentages within that same phase. Furthermore, when Randstad is mentioned in ChatGPT, it is ranked considerably lower (position-wise) than on the other two platforms.

In the Interest and Consideration stages, it becomes evident that competing players, such as specialized CV and career websites, are more frequently utilized as sources. This indicates that during these phases, AI platforms rely heavily on in-depth, niche content with a sharp focus on a single topic.

For Randstad, this suggests that while the brand is recognized in terms of content, there is clear room to strengthen its positioning as an authoritative expert within specific subthemes of working conditions. Growth potential lies particularly in queries focused on practical execution and deeper insights, such as CV optimization or interview preparation.

How can you leverage this GEO analysis?

A GEO analysis reveals exactly how a brand or organization is integrated into AI-generated answers—insights that traditional SEO metrics can barely uncover. Rather than just focusing on rankings and traffic, this analysis shows whether and how content is actually being utilized as a source by LLMs.

For organizations like Randstad, this provides invaluable insights into:

• Which stages of the customer journey are effectively covered.
• Which themes the brand is recognized for as a reliable source.
• Where competitors are cited more frequently and the reasons why.
• Where the primary opportunities lie to enhance visibility.

These insights guide targeted content strategies. The goal is not just to improve search discoverability, but specifically to establish a consistent, structural presence within AI responses, which are increasingly becoming the starting point of the online search journey.

Next steps based on the AI report

Clear next steps can be formulated based on this GEO analysis. A logical first step for Randstad is to strengthen its content within the Interest and Consideration stages, with an increased focus on depth and practical applicability. This includes comprehensive guides, concrete step-by-step plans, and well-structured explanatory pages.

Additionally, it is crucial to explicitly optimize content for AI consumption: clearly structured, factually supported, and distinctively positioned as an expert source. This significantly increases the likelihood that AI platforms will select and cite the content.

AI search behavior is changing rapidly, as are the sources being utilized. As a GEO specialist, we translate AI reports into actionable advice, content topics, and strategic optimizations. This way, we help your business not only improve its discoverability today, but also remain relevant in a future online landscape where AI will play an increasingly prominent role.