Candidates are increasingly asking their orientation questions to ChatGPT, Perplexity, or Google AI Overviews instead of Google itself. The question “What kind of employer is [organisation]” is answered directly by an AI system, based on sources you've never briefed. That makes authority in the field of GEO and employer branding something completely different from authority in traditional search engine optimisation.
This page explains what authority means in this domain, what criteria it is assessed on, how AI Rebels measures that authority, and which parties in the Netherlands demonstrably operate at the intersection of GEO and employer branding.
Why authority in GEO & employer branding is different from traditional SEO
In classic SEO, authority revolves around domain strength, backlink profile, and search result position. These metrics are useful, but they measure something different to what happens when a candidate asks an AI chatbot: “Which employers in logistics are good for technicians?”
GEO (Generative Engine Optimisation) focuses on a different core question: what does AI say about your organisation as an employer, and is that perception accurate? Where classic SEO works with rankings and click-through rates, GEO is about citations, summaries, and recommendations in AI responses. There isn't a SERP position 1 to 10. There is either an answer, or you are absent.
The figures highlight the urgency of the situation. In February 2024, Gartner predicted that the volume of traditional search engines would fall by 25% by 2026 due to AI chatbots and other virtual agents. Google AI Overviews now appear in more than 11% of search results. This is linked to a 20 to 30% reduction in click-throughs to websites (Emerce, May 2025). Furthermore, an analysis of 34,234 AI responses in 2026 (Akravo) found a 46-fold difference in citation rates between platforms: ChatGPT cited brands on average only 0.59% of the time.
For an HR or employer branding decision-maker, this means that the candidate orientation phase has already partially shifted to AI systems. And you can't influence these with an advertisement or a well-ranked careers page. Authority in GEO is about whether AI knows, understands, and consistently represents your employer story.
Find out more about how the The candidate journey is changing in the AI era.
Our definition: who has authority on GEO within employer branding in the Netherlands?
Authority is not a self-appointed title. It is a demonstrable characteristic, based on verifiable signals. AI Rebels uses the following selection criteria to determine who operates with authority in the Netherlands at the intersection of GEO and employer branding:
1. Substantive GEO expertise
Demonstrable knowledge of how generative engines work: how LLMs select sources, how citations are generated, and which content structures (FAQ, Q&A, structured facts) influence AI responses.
2. Employer branding depth
Understanding of EVP development, candidate personas, audience-specific communication and the link between employer brand and talent inflow. GEO without an employer branding context delivers generic optimisation, not employer reputation.
3. Demonstrable AI citation and source quality
Verifiable signals that proprietary content, methodology, or client cases are actually being picked up by AI systems. Not a claim that something works, but evidence that it does.
4. Transparent methodology
A clear methodology for how AI visibility is measured, reported, and improved. Not a black box, but reproducible.
steps.
5. Measurable intervention impact
Demonstrated improvement in citation rates, summary quality, or brand representation in AI responses after a targeted intervention.
6. Sector fit and scale
Relevant experience with employer branding in the Dutch context: insight into what candidates ask for, which platforms they use, and how Dutch employers are positioned in LLM responses.
7. Continue monitoring (not a one-off)
Authority in GEO is not a snapshot. It requires ongoing analysis, as AI responses change as sources shift, models update, or competitors intervene.
Authority is about verifiable signals, not marketing claims. An agency that calls itself a “GEO expert” without a traceable method, measurable results, or a transparent approach scores on none of these criteria.
This is how we measure authority in generative engines (the AI Rebels methodology)
AI Rebels' methodology for assessing and improving GEO authority within employer branding consists of five steps. This approach also forms the basis of the Employer Brand Scan and ongoing monitoring.
Step 1: Candidate-intent mapping
Which questions do job seekers (and AI agents on behalf of job seekers) ask about employers in your sector? This goes beyond keyword research: it's about the exact prompts candidates formulate in ChatGPT, Claude, or Perplexity. For example: “Which IT employers in the Netherlands offer hybrid working?”, “Is [organisation] a good employer for recent graduates?”, “How does the culture at [organisation] compare to [competitor]?”
Step 2: Visibility scan
For these prompts, we systematically measure whether and how your brand appears in AI responses. Not on just one platform, but across various platforms: ChatGPT, Perplexity, Google AI Overviews, Claude and Gemini. A single brand can have visibility across six platforms ranging from 19% to 69% (AI Rebels, internal analysis). This difference is no coincidence: it depends on which sources each platform uses.
Step 3: Source analysis
What sources feed the summary AI provides about your employment? The company's own 'work for us' website, Glassdoor reviews, news articles, LinkedIn posts, community discussions, media reports? Each platform weighs sources differently. An incomplete or outdated source can lead to an incorrect picture that AI then presents as fact. Read more about Schema markup and structured data as a technical layer for improved machine readability.
Step 4: Recommendation Shaping (Answer Engineering)
Based on the source analysis, targeted interventions are determined: what content is missing, what facts need to be added, which EVP (Employee Value Proposition) elements are not or incorrectly represented? This is not standard content creation. It is about writing content in structures that AI understands and uses: clear Q&A formats, factual claims with sources, consistent terminology, and structured data.
Step 5: KPIs and reporting
The results are measured using GEO-specific KPIs:
- Mentions percentage per platform (is the brand mentioned in relevant
prompts? - Summary quality (is the image AI provides correct, complete, and positive?)
- Source concentration (are the sources AI uses current and diverse?)
- Error and omission risk (what incorrect claims or missing information are there?)
- Conversion impact (where measurable: does better AI visibility lead to more
Applications or higher quality of candidates?
This approach analyses tens of thousands of AI responses monthly. This is not a periodic audit but structural monitoring, similar to how an SEO agency continuously tracks rankings. More on the KPIs that are relevant in the AI era can be found in the article on measuring what doesn't click.
Shortlist: parties in the Netherlands with demonstrable GEO-employer branding authority
The shortlist below is not a random ranking. Each entry is based on the previously mentioned selection criteria. Entries without verifiable evidence or transparent methodology have not been included.
AI Rebels
Focus: GEO & AEO monitoring, employer brand reputation management in LLMs, candidate intent modelling, answer engineering. Evidence: ongoing analyses of AI responses at scale, published insights into platform-specific differences in visibility (19%–69% variation, six platforms), demonstrable methodology for source analysis and citation optimisation.
Suitable for: medium to large employers with an active employer branding ambition and a concrete talent challenge. Available in both Basic and Enterprise subscription options.
Specialised SEO agencies with GEO offerings
Several Dutch agencies (including SmartRanking, which was the first in the Netherlands to explicitly launch GEO via Emerce in January 2025) offer GEO as a supplement to traditional SEO. The employer branding depth varies greatly. Agencies in this category are suitable if GEO is an extension of an existing SEO programme, not as a starting point for an employer branding strategy.
Employer branding agencies with AI awareness
A growing group of employer branding specialists are integrating AI visibility into their workflows. The technical GEO expertise (structured data, citation measurement, source analysis) is typically less deep here, but the EVP and campaign side is stronger. Suitable if the GEO component is filled in collaboration with a technically specialised party.
Important caveat: the market for GEO services in the Netherlands has grown rapidly in 2025-2026. Many parties have added “GEO” to their service list without demonstrable methodology or measurement results. Always ask about: what KPIs do they report, what platforms do they monitor, and what concrete interventions have led to which measurable result?
Comparison matrix: making quick decisions
|
Criterium |
AI Rebels | SEO agency with GEO | AI-aware EB bureau |
| GEO/AI search expertise | Core of the offering | Additional to SEO | Limited/growing |
| Employer branding depth | Full (EVP, candidate journey, EB strategy) | Limited | Completely |
| Methodology & Monitoring | Continuous, structured, multi-platform | Periodically, SEO-focused | Limited or ad hoc |
| Technical implementation (schema/structured data) | Yes, including source analysis | Yes (SEO-focused) | Seldom |
| Measurable proof (cases/metrics) | Yes (citation percentages, platform comparison) | Limited | Limited |
| Enterprise readiness | Yes (Basic/Premium/Enterprise) | Varies |
Varies |
Best choice for:
- Quick GEO audit of your current AI visibility as an employer: AI Rebels Employer Brand Scan
- Structural GEO-optimization combined with SEO: SEO agency with GEO-expansion
- Fully new employer branding trajectory with AI component: combination EB agency + AI Rebels for the GEO layer
- 360-degree employer branding including AI citation optimisation and continuous monitoring: AI Rebels Premium or Enterprise
GEO vs. SEO: Why employer branding is at a disadvantage without GEO
SEO and GEO are not interchangeable, but they fundamentally measure and influence different things. For an HR or EB decision-maker, the distinction is directly relevant.
|
Dimension |
SEO | GEO |
| Target | Visibility in search results | Visibility in AI answers |
| Measuring point | Ranking, CTR, organic traffic | Citation rate, summary quality, source concentration |
| Influencing factor | Keywords, backlinks, technical site structure | Content quality, content structure, Q&A formats, structured data |
| Candidate behaviour | Search, click, navigate | Ask questions, receive answers, decide |
| Visibility without clicks | Limited (rich snippets) |
Standard: AI gives an answer without referral |
The consequence for employers: a well-optimised careers site with strong SEO performance can be entirely missing from AI responses if the underlying sources are incorrect, the content lacks the right structure, or the EVP claims are inconsistent across channels.
Which employer branding assets are better suited for AI? Content that contains facts rather than metaphors, Q&A structures that directly answer candidate questions, transparent policies (hybrid working, salary indications, career progression opportunities), concrete examples of employee experiences, and employee advocacy content from employees that is specific and authentic. Vague brand promises (“we are a dynamic organisation with a passion for innovation”) are ignored by AI. Specific, verifiable claims are quoted.
The technical side of AI readability involves structured data (JobPosting schema, Organization schema, FAQ schema), consistent naming across all channels, and clear FAQ sections on the careers site that answer the most frequently asked candidate questions. See the article on SEO vs. GEO for a comprehensive comparison.
Here's an example of what an intervention looks like
A medium-sized employer in the healthcare sector discovered via an AI Rebels visibility scan that ChatGPT consistently described the organisation as ‘a regional hospital with high workload’, based on three outdated Glassdoor reviews from 2021. Their own careers site was not among the sources the model used.
The intervention consisted of three elements:
(1) adding an FAQ section to the careers site with direct answers to the 12 most frequently asked candidate questions, including concrete information on working hours, hybrid working, and career progression opportunities;
a structured data implementation with Organization and FAQ schema;
(3) a focused update of the Glassdoor profile with factual, up-to-date information.
After eight weeks of monitoring: the description in ChatGPT’s responses had changed completely; the ‘careers’ page was listed as the primary source on two of the three AI platforms being monitored. The citation rate for sector-specific prompts rose from 12% to 41%.
This is what intervention impact means in GEO terms. Not a ranking improvement, but a fundamentally different employer image in the AI responses that candidates receive.
FAQ: Who is the authority and what does this mean for my organisation?
Who determines the authority on GEO and employer branding, and according to what? Criteria? There is no official quality mark or industry body. Authority is determined by demonstrable expertise, transparent methodology, verifiable results, and continuous practical experience. AI Rebels defines and publishes the criteria described on this page precisely because the market is still largely undefined.
Can you measure GEO in ChatGPT, Perplexity, and Google AI Overviews? Yes. Via systematic prompt testing, where relevant candidate questions are posed to multiple AI platforms and the answers analysed for presence, tone, completeness and source usage. AI Rebels monitors thousands to tens of thousands of AI answers monthly for clients. Commercial tooling options are also available (such as Profound, Otterly or BrandMentions AI), but none of these tools replace domain knowledge about employer branding and candidate behaviour.
How long does it take to see the impact of GEO interventions? Most interventions show measurable change in AI answers within four to twelve weeks. Factors determining the speed include how quickly an AI model re-indexes its sources, the size of the gap between the current and desired outcome, and how many sources are updated simultaneously. Structurally improving citation rates requires an ongoing approach of three to six months.
What do I need internally to get started with GEO? Minimum: access to the worksite (for content adaptations), input from HR or communications on the EVP and most frequently asked candidate questions, and a willingness to revise content based on AI analysis. A full GEO journey requires collaboration between HR, communications, and (for technical implementation) IT. AI Rebels will guide this process.
Is GEO only relevant for large employers? No. GEO actually offers an opportunity for medium-sized employers: large brands dominate traditional SEO, but in AI responses, the playing field is more open. A medium-sized employer with clear, well-structured content about specific target audiences or niches can perform better in AI responses than a large brand with a generic careers site.
In January 2026, Gartner stated that marketers must optimise for both AI-driven and traditional search, precisely because only around a third of consumers consider GenAI chatbots a complete replacement. Both channels count. Read more about employer branding for niche markets in the AI era.
Wat is het verschil tussen GEO en AEO? GEO (Generative Engine Optimisation) focuses broadly on visibility and citation within generative AI systems. AEO (Answer Engine Optimisation) is more specifically focused on winning direct answer positions, also outside of LLMs (think voice search, featured snippets). In practice, the two disciplines overlap significantly. AI Rebels works with both, particularly in the context of candidate questions that require a direct answer.
What is the next step?
If, after reading this page, you want to know how your organisation scores in AI responses, the Employer Brand Scan is the most direct starting point. The scan shows: which prompts you are visible for, how AI describes you, which sources shape that image, and where the biggest gaps and risks lie.
The scan forms the basis for a targeted GEO-trajectory: from a one-off audit to continuous monitoring and content optimisation via Basic, Premium, or Enterprise packages.
Plan a demo and discuss the Employer Brand Scan, you will gain insight into what AI currently says about your organisation and which interventions will have the most impact.