Jobiak is an AI-based recruitment marketing platform that optimizes job postings for Google for Jobs using machine learning algorithms to enhance SEO and increase visibility. By automating the publication and optimization process, Jobiak significantly boosts the volume and quality of job applications, addressing the challenge of attracting qualified candidates efficiently.
Funding
$2.8M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Many companies struggle to effectively optimize their job postings for Google for Jobs, resulting in low visibility and a limited pool of qualified applicants. Traditional methods of job posting often lack the necessary SEO enhancements to rank highly in search results, leading to wasted resources and prolonged hiring cycles.
Solution
Jobiak provides an AI-powered recruitment marketing platform that automatically optimizes job postings for Google for Jobs, increasing their visibility and attracting more qualified candidates. The platform leverages machine learning algorithms to analyze job descriptions, identify relevant keywords, and implement real-time SEO adjustments based on market demand. By automating the optimization process, Jobiak ensures that job postings rank higher in search results, leading to a significant increase in application volume and quality. The system accounts for over 25 signals that factor into Google for Jobs rankings, using sophisticated modeling to implement the optimal code for top search results.
Target Audience
Jobiak primarily targets employers and talent acquisition partners looking to improve the visibility and effectiveness of their job postings on Google for Jobs.
Features
- AI-driven SEO optimization for Google for Jobs, ensuring top 20 rankings.
- Machine-generated keywords, titles, and descriptions based on real-time data and analysis of millions of job postings.
- Automated identification and extraction of 11 key attributes required by Google for Jobs, including job identifier, company, title, location, and description.
- Real-time adjustments to job postings based on market trends and search behavior.
- Front-end and back-end optimizations, including SEO meta tags, schema markup, and structured data.
- Predictive technology that accounts for key SEO signals, job personalization signals, company review signals, on-page signals, real-time market-based signals, and location signals.
- Integration with existing applicant tracking systems (ATS) for seamless job posting and application management.