AI tools have rapidly become an important orientation channel for job seekers. According to the Dutch ITAM study by Intelligence Group, it is expected that by early 2027 more than 30% of job seekers will use Large Language Models (LLMs) such as ChatGPT, Gemini, and Perplexity. This is moving toward becoming a top-3 source for exploring new job opportunities.
When candidates ask questions such as “Which employers suit me as a …?” or “What vacancies are available with … (skills/location/salary)?”, they receive a ready-made answer (including a shortlist of employers) instead of ten blue links. That’s where you want to be included.
That is what Generative Engine Optimization (GEO) for employers is about: ensuring that generative AI systems correctly recognize, trust, and mention your organization as an employer and your vacancies when job seekers ask questions. In this article, you will learn everything about it, including a deeper dive into which labor market data you can best use for a strong GEO strategy.
Job seekers use AI tools such as ChatGPT, Grok, and Claude to quickly filter based on what matters to them (salary, schedules, commute time, culture, career growth, job security, etc.). In a single question, they receive a selection of employers/vacancies that match. Trust us: you want to be included there in the right way.
AI is becoming the new starting point in job orientation (and faster than any channel ever)
For more and more people, ChatGPT and other LLMs are becoming the starting point on the internet instead of Google and this is already reflected in job search behavior. It is even one of the fastest shifts in search behavior ever measured. For you as an employer, this represents a huge opportunity to guide job seekers directly and at no cost from LLMs to your careers website and your vacancies.
AI tools are extremely effective as a search channel
Why the adoption of AI tools is growing so rapidly: ChatGPT turns out to be the most effective search channel for job seekers ever measured. With a well-configured AI agent (which you can learn to use relatively quickly), candidates receive highly targeted matches with little “waste,” making usability and relevance higher for many people than with traditional orientation channels.
You can already see it in your analytics: LLMs are driving traffic to careers sites
As a recruiter and employer branding specialist, you can already see this reflected in your data: organic traffic to careers sites and vacancies increasingly comes via LLMs (ChatGPT, Gemini, Perplexity), with ChatGPT often being the dominant source. For many employers, it is already a top-10 and sometimes even a top-3 traffic driver.
When AI becomes the ‘middle man’, discoverability fundamentally changes
The core idea: AI agents are increasingly functioning as an intermediary layer between job seekers and sources. As a result, all orientation channels are rapidly becoming less important, especially job boards, Google, and agencies because AI takes over the preliminary work (filtering, matching, summarizing).
What you lose if you don’t (properly) implement GEO
Step 1: Define your ‘AI question landscape’
Create a list of 25–50 questions that your target audience could realistically ask, for example
Tip 1: Use LLMs and labor market data from Giant by Intelligence Group to build this list of questions.
Tip 2: Test these questions in multiple LLMs and see whether you are already being mentioned (and how).
Step 2: Fix your technical ‘readability’ (crawling & understanding)
AI (and search engines) must be able to easily crawl, index, and interpret your pages.
What works in practice:
Step 3: Build ‘helpful content’ that fully answers questions
For GEO, helpful content (created for people, not keywords) is the holy grail: complete answers, including follow-up questions.
Concrete careers-site content blocks that often perform well:
Google’s own advice for AI-driven search experiences remains: focus on unique, useful, non-generic content.
Step 4: Make yourself ‘citable’ with proof & entities
AI relies on clarity and consistency. Help the system:
Step 5: Work on external signals (brand mentions, reviews, employee advocacy)
In GEO, the focus shifts from backlinks to brand mentions and reputation signals: AI pulls heavily from other sources (including review platforms like Glassdoor). Also, employee advocacy carries significant weight; AI may sometimes take employee statements quite literally.
Step 6: Measure & improve (GEO is still partly manual)
The measurability of GEO results is still in its early stages. What you can do:
GEO ultimately comes down to one thing: perfectly aligning with the questions and preferences of your target audience.
And that’s exactly where data makes the difference between “nice content” and “content that AI actually selects.”
The set of data points below is essential for a strong Employer Value Proposition as well as a GEO strategy:
1. Motivations, preferences, and “deciding factors”
The most important one right away: what truly matters to your target audience and how you differentiate yourself as an employer. What preferences do your target groups have regarding employment conditions, work environment, culture, etc.? Giant provides the answers.
2. Target audience communication preferences
Aligning with the language and tone of your target audience is essential for GEO. In Giant, you can find the preferred communication style of your audience. Personal or formal. Passive or persuasive.
3. Salaries (and possibly hourly rates) per role/region/country
Salary-related questions are extremely “AI-sensitive”: candidates ask them directly to AI. Clearly stating salaries in your vacancies is therefore a must for GEO. Want to benchmark your salary structure? Giant by Intelligence Group provides the most up-to-date market data.
4. Job and skills taxonomy (ISCO/ESCO), alternative job titles, skills
In GEO wil je dat AI jouw rollen en vacatures begrijpt: welke skills horen erbij, welke alternatieve termen zijn nog meer gangbaar in de markt, welke classificaties matchen.
5. Recruitment feasibility: size, scarcity, sourcing pressure
This helps you determine how much content you need, how specific you should be, and which propositions must take priority.
6. International talent & willingness to travel
Are you recruiting international talent? LLMs operate in all languages. All the more reason to fully invest in GEO and boost traffic from international talent to your careers site and vacancies. With Giant data, you can discover: which countries/regions are interesting, how to attract that target group, and what their willingness to travel is.
How to translate that data into “GEO content” on your careers site
A simple translation rule: data point → content block → FAQ question → structured data
For example:
1. What is GEO for employers?
GEO (Generative Engine Optimization) is the optimization of your careers site, vacancies, and online footprint so that AI tools recognize, trust, and mention your organization in answers to job seekers’ questions.
2. What is the difference between SEO and GEO?
SEO focuses on ranking in search results. GEO focuses on being mentioned or cited in a summarized AI answer that combines information from multiple sources.
3. Why is GEO urgent for employers right now?
Because AI usage for job orientation is growing rapidly: in our quarterly ITAM research, AI usage among job seekers is increasing very quickly, with a projection of over 30% by early 2027.
4. Which AI tools/LLMs influence recruitment the most?
Job seekers in the Netherlands most frequently use ChatGPT by OpenAI, but also Google Gemini, Perplexity, Grok, Claude, and LeChat to find employers and vacancies through questions in natural language.
5. How do I ensure AI can properly read my careers site?
Zorg dat je pagina’s goed crawlbaar zijn, vermijd complexe JavaScript-rendering waar mogelijk en gebruik structured data (schema markup) zodat systemen je content beter begrijpen.
6. Which structured data is most important for careers sites and vacancies?
For vacancies: JobPosting. For supporting content: among others FAQ and Review. Google provides a concrete step-by-step guide for job posting structured data.
7. Should I “additionally” optimize for Google AI Overviews or AI Mode?
Google indicates that existing SEO best practices remain relevant and that there are no additional special requirements to appear in AI Overviews/AI Mode.
8. Which content works best for GEO in recruitment?
Content that fully answers questions (including follow-up questions) and is unique/non-generic: workday descriptions, salary context, training paths, career growth, culture, and real-life stories. This content must align in both communication style and substance with your target audience(s). Use data from Giant by Intelligence Group for this.
9. Why are brand mentions and reviews important for GEO?
AI uses many external sources and looks at how often your brand is mentioned and what others say about you, including reviews and employee experiences. Encouraging satisfied employees to leave a Glassdoor review therefore definitely adds value.
10. Does employee advocacy really help?
Yes. Employees who share online why they enjoy working for you create strong signals. It is known that AI incorporates such statements into its answers.
11. What is the role of labor market data in GEO?
Labor market data helps you align your content perfectly with your target audience: their motivations, what they find important, which information influences their decisions, communication style, etc.
12. Which Giant data is most relevant for GEO?
The most important: motivations/preferences, pull factors, communication style, commonly used job titles, and salary data, as well as recruitment feasibility. Recruiting internationally? Then it is also useful to have data on which countries/regions are interesting and what the preferences of these international target groups are.
13. How do I measure whether GEO is working?
This is (for now) largely a manual exercise. Periodically test your key questions in AI tools and log whether you are mentioned and which pages/facts are used. Additionally, you can track AI referral traffic in your Google Analytics. It is not complete, but it does indicate whether you are on the right track.
14. is it a good idea to use AI to create content?
Generative AI can help with research and structure. It can also assist with content, but generating large volumes of content pages without adding your own value can backfire. Focus on quality, relevance, and originality.
15. What is a good first GEO quick win for careers sites?
Select 10 target audience questions, create one strong content block + FAQ per question, add JobPosting and FAQ structured data, and then improve your external signals (mentions/reviews/employee stories
