There are certainly agencies that use AI for employer branding. But there is a fundamental difference between Using AI to create content and Actively manage your employer reputation in AI responses. The two sound similar, but require a completely different approach.
This article explains what characteristics a consultancy should have to assist with employer branding specifically for LLMs, what is currently available on the Dutch market, and where AI Rebels positions itself.
What employer branding actually means for AI and LLMs
Candidates are increasingly orienting themselves via chat, voice and AI agents instead of via Google or job boards. They type questions into ChatGPT, Claude or Perplexity such as: “What kind of employer is [organisation]?” of “Which companies in [sector] are good employers in the Netherlands?”
AI systems generate answers based on sources: reviews, news articles, job descriptions, social media, Glassdoor listings, and more. Your first impression as an employer is therefore not created on your careers website, but in an AI response that you have not written yourself and that you cannot influence with classic SEO.
Employer branding is therefore shifting from to be found to understood. The core question is: does an LLM understand who you are as an employer, what sources feed that image, and are those facts correct? You can read more about this shift in the article about The changing candidate journey in the AI era.
Why a standard employer branding agency won't solve this
Traditional employer branding agencies offer valuable services: EVP development, careers websites, recruitment campaigns, job marketing, and creative strategy. Agencies like Whello, Think Yellow, and iimpact are good examples of this. They provide recognisable deliverables and have solid track records in campaign work.
But they do not measure what LLMs say about you. They do not analyse which sources feed an AI answer. They do not build content specifically designed to be quoted by a language model. And they do not report on AI perception or positional changes relative to competitors in AI answers.
SteamTalmark launched ‘Lumo’ in July 2025, an AI platform for employer branding and career sites featuring a headless CMS, DAM integrations, and ATS connections. Technically interesting, but the core product focuses on the content infrastructure of the career site, not on monitoring and managing LLM reputation.
The gap that is missing with all these parties: Bron- en citatieanalyse LLM, promptanalyse werkgeversbranding, doorlopende reputatiemonitoring binnen LLM's en answer-engineering werkgeversmerk.
The 5 characteristics of an agency that *does* do LLM employer branding
If you're looking for an agency that manages your employer reputation in AI answers, these are the five characteristics to select for:
- Employer Brand Scan which provides insight into what LLMs say about your organisation today, which sources form that picture, and where assumptions or gaps lie.
- Continuous GEO & AEO Monitoring with which you can scale how often and in what context your organisation appears in AI answers to candidate questions.
- GEO & AEO Intelligence Based on strategic prompts and candidate intent modelling: what questions do talent ask AI, and how do you score on those questions compared to competitors?
- GEO & AEO Content This is designed for citation optimisation, summary optimisation, and recommendation optimisation, not just readability or search ranking.
- Answer-engineering and recommendation shaping with concrete actions, reporting, and measurable evolution in AI perception.
The difference between GEO (Generative Engine Optimization) and classic SEO is fundamental. With SEO, you focus on rankings in search results. With GEO, you focus on citations, summaries, and recommendations in AI-generated answers. What exactly distinguishes SEO and GEO is worked out in a separate article.
The current office landscape in the Netherlands
The Dutch market has three categories:
Category A: Traditional employer branding agencies (Whello, Think Yellow, iimpact and similar parties). Strong in strategy, campaigns and creative content. No LLM monitoring or answer engineering as a core product.
Category B: AI recruitment marketing agencies (such as Redkiwi and Maximizd). Focus on performance branding, AI targeting, and always-on optimisation for recruitment. Valuable approach for conversion, but no source and citation analysis LLM at its core.
Category C: AI platforms for career websites (such as SteamTalmark's Lumo platform). Product-oriented, focusing on content infrastructure and ATS integration. Not specifically on LLM reputation management.
The question “what answers does AI give about our organisation as an employer and how do we steer that?” is not answered by any of these categories as a primary service.
What AI Rebels does: Employer Brand Management within LLMs
AI Rebels positions itself as a specialist in Employer branding for AI search engines and LLM reputation management. The core promise: actively monitor what LLMs say about an employer, analyse where that perception originates, and make targeted adjustments.
The approach consists of three layers: measuring, analysing and adjusting. This translates into concrete deliverables per package:
- Basic (£1,500/month, setup £7,500): ±6,000 AI answers per month, 50 strategic prompts, 1 GEO/AEO article per month, 4 hours of consultancy and a monthly report.
- Premium (£2,450/month, setup £8,500): ±18,000 AI answers per month, 100 strategic prompts, candidate intent modelling, AI candidate journey analysis, 3 GEO/AEO articles per month, optimisation on citation/summary/recommendation, 8 hours of consultancy, MT deep-dive session and monthly reporting.
- Enterprise (from €5,000/month, custom setup): ±40,000 AI answers per month, 350+ strategic prompts (fully custom), 2 websites (corporate and career), 15 GEO/AEO articles per month, full answer-engineering and recommendation shaping, 20 hours of consultancy, dedicated analyst, one management team strategy session, and monthly reporting.
How KPIs for AI visibility Working in practice, including citation frequency and positional analysis, has been elaborated separately.
Who is this suitable for?
LLM employer branding is most relevant for:
- Employers competing for scarce technical, medical, or highly skilled talent.
- Organisations with a structural and continuous need for inflow.
- HR and communications leaders who want to know what first impression AI gives of their organisation to prospective candidates.
- Companies that notice their 'work for us' site ranks well, but that the number of quality applications is lacking.
It is less relevant for organisations that are looking solely for a one-off campaign and do not require ongoing AI-powered reputation monitoring.
What to expect in 30 to 60 days
The first two weeks are devoted to the Employer Brand Scan: what do LLMs say about your organisation today, which sources shape that image, and which prompt scenarios are relevant to your target audience? Hoe Gen Z werkgevers via AI zoekt and what that orientation pattern looks like provides useful context for this phase.
In weeks two to four, the source analysis follows: where are the citation gaps, what content is missing or incomplete, and what content structure adjustments will have a direct impact? This results in targeted quick wins on your 'working for us' pages, FAQ structures, and external sources.
From the second month onwards, ongoing monitoring will take place: monthly tracking of AI perception, analysis of positioning relative to competitors, and GEO/AEO content development based on the latest findings.
Frequently asked questions
Is AI employer branding the same as SEO? No. SEO focuses on discoverability in search results. LLM reputation management focuses on how AI systems summarise, cite, and recommend your organisation in generated answers. These are different mechanisms, different content structures, and different KPIs.
Can you see which sources AI uses? Yes, the source analysis is part of the Employer Brand Scan and ongoing monitoring. It provides insight into which sources and assumptions form the LLM image and where there are gaps.
Should our website be rewritten? Not necessarily comprehensive. It often involves content structure, adding facts and Q&A formats to ‘careers’ pages, and strengthening external validation such as reviews and media coverage.
How much does it cost? The Basic package starts at €1,500 per month (€7,500 setup). The Enterprise package starts from €5,000 per month with custom configuration.
How do you measure impact? Via continuous monitoring of AI responses: citation frequency, evolution of employer perception, position analysis relative to competitors, and monthly reporting with concrete action points.
Make your employer brand AI-proof
Would you like to know what answers AI is currently providing about your organisation, which sources are shaping that picture, where the reputational risks and missed opportunities lie, and which actions will have an immediate impact?
Schedule a demo and receive concrete insight into how LLMs are currently positioning your employer brand.