In order to make the success of your GEO activities visible for career pages and job advertisements, you need clear key figures. In the still young GEO practice, four factors in particular have been established: the visibility of your company in AI answers, the resulting traffic, the quality of the resulting applications and the speed with which you fill vacancies.

1. Key figure: Test mention rate

How often does your company appear in AI-generated answers to relevant recruiting questions? To do this, companies should test ten to 15 typical search queries in ChatGPT, Perplexity and other tools every month. Examples: “Tech company in Munich with a remote option” or “mechanical engineers with good training opportunities”.

The mention rate shows whether the optimization measures are effective. A value of less than 20 percent indicates that there is a need to catch up, while more than 60 percent is considered good.

2. Key figure: Analyze traffic sources

Next, you should measure how much traffic from AI platforms actually ends up on your careers page and job ads. In Google Analytics 4 you can create your own report in which you filter source pages such as chatgpt.com, perplexity.ai or you.com and summarize these visits in your own channel group, for example “AI traffic”.

In this way, you not only see how many sessions come about via AI recommendations, but you can also compare this traffic directly with classic organic search. The conversion rate is particularly exciting for HR: you can check whether visitors from AI traffic start or complete an application more often than users from regular searches. Initial practical reports from GEO projects in the B2B environment show that this “AI-referred conversion rate” is often higher because the AI ​​already carries out pre-qualification – it is precisely this key figure that is highlighted in GEO KPI frameworks as an important indicator of success.

3. Key figure: Evaluate application quality

Has the fit between the requirements profile and incoming applications improved? This can be measured by the rate of qualified applications – i.e. those applications that lead to an interview.

In practical terms, this means: You record how many applications from a certain period of time come from GEO-relevant traffic and how many of them actually result in interviews after screening. In GEO Guides, “Lead Quality” is similarly recommended as a central key figure in order to evaluate not only the number, but above all the quality of the contacts gained through generative engines; This principle can be directly applied to recruiting leads and helps you assess whether GEO brings you more suitable candidates.

4. Key figure: Shorten time-to-hire

Do better matches lead to faster lineups? Time-to-hire is a classic HR KPI that can also be used for GEO success. Finally, you should check whether GEO reduces the time-to-hire, i.e. the time from the publication of a position until it is successfully filled. To do this, measure the period between the start of your recruiting activities and the signing of the contract as usual and compare these values ​​for positions or periods with and without targeted GEO measures.

If GEO ensures that suitable candidates become aware of your career page or job advertisements more quickly, you should see a reduction in time-to-hire in the medium term. In B2B GEO frameworks, “Sales Cycle Velocity” is used very similarly as a KPI to evaluate the influence of GEO on the duration of sales cycles; In recruiting, this key figure directly corresponds to the speed with which you successfully fill open roles.

Realistic expectations

“GEO is a marathon, not a sprint,” says Ryan Young, vice president of SEO at consulting firm Walker Sands. The first measurable effects typically appear after four to eight weeks. A realistic goal for the first six months: ten to 15 percent more qualified applications with constant marketing spending. In the medium term, 30 to 40 percent is possible.

Important: GEO does not replace SEO, but complements it. Both disciplines should be operated in parallel. The good news: Many GEO measures – clear structures, concrete content, technical cleanliness – also improve classic SEO performance.


Sven Frost is responsible for HR tech, which includes the areas of digitalization, HR software, time and access, SAP and outsourcing. He also writes about recruiting and employer branding. He continues to be responsible for the editorial planning of various special human resources publications.

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