The measurement problem
Imagine this: your employer brand is mentioned in a ChatGPT reply to a candidate. That candidate reads it, nods, and applies three days later via a direct link from a friend.
In your analytics? Zero attribution. No click. No source. As if it never happened.
Welcome to the era of zero-click orientation, where impact and measurability no longer coincide.
Why traditional metrics fail
Traditional recruitment marketing KPIs (clicks, sessions, time-on-page) are built for a world where candidates click through. But when 38% of young job seekers do their research in an LLM, you are only measuring the tip of the iceberg.
The numbers are sobering:
- Google's AI Overviews caused a 61% drop in organic click-through rates for informative searches
- Traffic from AI services is quintupled since 2024
- Only 8-12% of brand mentions overlap between ChatGPT and Google Gemini
The new KPIs
| Metric | What it measures | Why it matters |
| Citation frequency | How often you are mentioned in AI answers | Basic indicator of AI visibility |
| Share of voice | Your listings vs. competitors | Relative position in your sector |
| Sentiment score | Positive/neutral/negative | Not only visible, but also well reviewed |
| Source attribution | How often you are quoted as a source | Authority in the AI ecosystem |
| AI-referred traffic | Direct traffic from AI platforms | Measurable conversion impact |
Tools for GEO monitoring
Dedicated tools emerged in 2024-2025:
- Semrush AI Visibility Toolkit -monitors brand visibility across multiple AI platforms
- Peec AI - Focuses exclusively on GEO analytics with real-time alerts on citation changes
- Writesonic GEO - Combines share-of-voice tracking with sentiment analysis and competitor monitoring
- Manual audits - Systematic testing in ChatGPT, Claude, Perplexity and Google AI Overviews
The manual audit: this is how you do it
Step 1: Define your key questions
What questions would your ideal candidate ask?
- “Which [sector] companies in the Netherlands are good employers?”
- “Is [your company] a good place to work as [position]?”
- “Which companies have the best [culture aspect] in [region]?”
Step 2: Test systematically
Ask the same question in at least three LLMs: ChatGPT, Claude, and Perplexity. Document:
- Are you mentioned? Yes/no
- At what position in the answer?
- What is being said about you?
- Which sources are cited?
Step 3: Compare with competitors
Who is mentioned where you are missing? What do they do differently?
Step 4: Repeat monthly
AI models are constantly updating. What is true today may be different next month.
Benchmarks and expectations
- GEO methods can provide visibility with up to 40% increase
- Microsoft reports that Copilot's click-through rate on quoted replies 6x higher is than classical organic links
- Attribution for GEO efforts typically takes 6-12 months
The platform paradox
Important insight: optimisation for one platform does not automatically work for another. Only 8-12% of brand mentions overlap between ChatGPT and Gemini.
Worse, tactics that work for Gemini (technical accuracy) can actually worsen your performance in ChatGPT (which prefers creative output).
The lesson: measure by platform, optimise by platform.
Practical steps
This week:
- Conduct your first manual audit with 5 key questions in 3 LLMs
- Document the results in a spreadsheet
This month:
- Evaluate dedicated GEO tools (many have free trials)
- Set up a monthly audit cadence
This quarter:
- Define your GEO KPIs and targets
- Integrate GEO metrics into your recruitment marketing dashboard
Next article
In the following article, you will discover the science of citable content: Which formats, structures and data elements ensure that AI actually mentions your employer brand.
This article is part of a series on GEO and employer branding.
Sources:
- Semrush, “GEO Report 2025” (2025)
- Manhattan Strategies, “GEO Framework for Enterprise” (2024),
- Seer Interactive, “AI Measurement Guide” (2024)
- BrightEdge, “AI Citation Report” (2024)