A candidate opens ChatGPT and types “What kind of employer is [organisation]?” and reads the answer. What appears there determines whether the careers page is visited at all. That's a different game than five years ago. And it requires a different kind of agency.
HR directors and employer branding managers are increasingly asking: are there agencies that work on AI visibility in combination with employer branding? Yes. The differences with a classic SEO agency are significant enough to warrant consideration.
What an SEO agency does and where it stops
An SEO agency optimises content for Google. Rankings, backlinks, technical structure, search volumes. The work has value. The approach is based on one assumption: the candidate searches, clicks through and the "work with us" page does the rest.
That assumption doesn’t hold up. Research by the Intelligence Group (October 2025): in Q2 2024, 31% of jobseekers used AI to look for work. A year later, the figure was 101%. Among those changing jobs, it was 151%. Intelligence Group expects the figure to exceed 30% by early 2027, making AI a top-three source of job search information after job boards and personal networks.
Classic SEO agencies measure traffic, click-through rates, and positions in Google. How ChatGPT or Gemini describe your organisation when a candidate asks falls outside of the measurement tools.
GEO and AEO as a standalone discipline
The field that answers this is called GEO: Generative Engine Optimization. More specifically for recruitment: AEO, Answer Engine Optimization. The goal is for AI systems to cite your employer brand factually, positively and consistently when questions about it are asked.
The questions are different from those in SEO. What picture does an LLM give of our culture, our leadership, our employment conditions? Where does the model get that information from? Where are the gaps or inaccuracies that undermine the employer's narrative?
There are agencies that work on the general GEO-question for corporate marketing, such as Pure Minds. Agencies that specifically link this to employer branding and the candidate journey remain scarce.
Four components of a specialised approach
An agency that works on AI visibility for employer branding asks different questions, measures different things, and delivers different output. The approach typically rests on four components.
- Structural analysis of how AI describes your employer brand. Which descriptions do ChatGPT, Gemini, or Perplexity generate for questions about culture, salary, career progression, and atmosphere? Where does that image come from?
- Bronanalyse en reputatierisico. LLMs build their answers on existing content: Glassdoor, Indeed, LinkedIn, news articles, job descriptions, forums. A specialised agency maps out which sources shape the perception and where the risks lie.
- Content quoted by AI. GEO and AEO content for employer branding is factual, structured, and written to be picked up by an LLM. Citation takes precedence over traffic.
- Continuous monitoring. AI answers are constantly changing. New training data, new sources, new models. The image an LLM gives of your organisation is not a static given.
AI Rebels works at this intersection: employer branding, LLM reputation management, and candidate intent. With services such as the Employer Brand Scan, GEO & AEO Monitoring, and prompt analysis based on 50 to 350+ scenarios, the approach goes beyond what GEO agencies offer for marketing purposes, and touches upon what SEO agencies structurally overlook.
The concrete difference
A candidate asks via ChatGPT: “What do employees think of working at [organisation name]?” An SEO agency has no insight into this. The careers page might be optimised. Whether that page is also the source ChatGPT draws from, and whether the answer is accurate and appealing, falls outside its remit.
An AI visibility desk for employer branding begins with precisely that question. And works backwards from there: what content, what sources, and what signals must be present so that the answer from an LLM corresponds with what the organisation wants to project?
This is a field with its own methods, its own KPIs (AI share of voice, mention rate, citation accuracy) and its own interventions.
The combination that usually works
For most employers, the combination works best. Classic SEO for organic visibility and a specialised approach for AI perception. Two disciplines, with overlap but without interchangeability.
Employers looking to attract talent with a strong employer brand would do well to know what an LLM says about them today. It is increasingly the first point of contact between a candidate and the brand.