Why Your Job Descriptions Aren’t Landing Top Talent (and How AI Can Fix It)

Many organisations struggle to capture the attention of ideal candidates, and often, the culprit lies in their job descriptions. Outdated, biased, or uninspiring job descriptions can inadvertently filter out qualified candidates and extend time-to-hire. 

However, what if there was a way to revolutionise this crucial first step in recruitment? Artificial Intelligence, specifically tools like Oleeo’s VacancyIQ, offers a powerful solution.

Eliminating unconscious bias: VacancyIQ is meticulously built to identify and eliminate biases related to ethnicity, gender, and disability. By training on your past successful vacancies, it learns to generate inclusive language that broadens your talent pool and supports diversity initiatives.

Attracting the next generation of talent: Understanding that flexible work arrangements and mental health support are non-negotiable for many.

VacancyIQ helps strategically highlight the benefits that appeal to modern candidates, including Gen Z. It ensures your job descriptions resonate with their values and expectations.

Enhanced efficiency and consistency: By leveraging a Large Language Model (LLM), specifically GPT-4o, and Retrieval Augmented Generation (RAG). VacancyIQ streamlines the creation of compelling vacancy content in minutes. This not only reduces time-to-hire but also ensures a consistent and on-brand linguistic style across all your job postings.

Contextually Rich and On-Brand Content: VacancyIQ is unique because it’s trained not only on vast public datasets but also on your organization’s specific historical vacancy data. This “fine-tuning” ensures that the generated content aligns with your established brand identity, authentic tone of voice, and utilizes your specific industry terminology.

So, how exactly do you get started?

Here is how to unlock VacancyIQ’s power to produce elevated vacancy content tailored to your brand:

Step 1) Initial configuration & data ingestion 

This integration allows VacancyIQ to ingest your past vacancies, which is the foundational data it uses for learning.

Step 2) Large Language Model (LLM) optimisation

Once your data is ingested, VacancyIQ utilises a Large Language Model (LLM), specifically GPT-4o. It’s trained not just on vast public datasets but also on your specific past vacancy data. This “fine-tuning” ensures that when you pose a question or request content, the LLM generates responses that align with your established linguistic style and preferred vocabulary.

Step 3) Retrieval Augmented Generation (RAG) for contextual accuracy

Retrieval Augmented Generation (RAG) ensures the generated content is grounded in your actual historical data, leading to more precise, contextually rich, and on-brand vacancy descriptions.

Step 4) Enjoy the benefits of your new AI recruitment tool!

Start generating compelling vacancy content in minutes!

Oleeo’s mission is to supercharge your recruitment efforts with AI Powered recruitment technology that never loses sight of the human element. Our platform and tools redefine the entire hiring journey, freeing you to focus on what matters most: building genuine connections with candidates and making crucial, nuanced hiring decisions.