The 60-Second Version
In 2025, Alien Road partnered with isbul.net, one of the largest-scale job and recruitment websites in Türkiye, to overhaul its web infrastructure and search engine optimization strategy. The primary objective was to build a robust digital ecosystem that matches job seekers and employers more quickly and accurately. By implementing a mobile-focused front-end design, advanced AI-powered job suggestions, and a multi-layered SEO framework, Alien Road positioned isbul.net to transition from a classic listing portal into a data-driven human resources infrastructure generating high-volume organic traffic.
The Numbers That Matter
The digital transformation achieved concrete improvements across core recruitment metrics. Organic traffic rose from 1,450,000 to 2,610,000 monthly visits. The CV creation rate increased from 2.1 percent to 4.3 percent. Bounce rates dropped from 58.4 percent to 36.2 percent, while employer conversions doubled from 1.4 percent to 2.8 percent over the 12-month engagement.
The Challenge
As a massive recruitment portal in Türkiye, isbul.net faced scalability constraints in performance and information architecture. Job seekers required a frictionless way to discover roles, while employers needed an efficient workflow to manage job postings and applications in a minimum number of steps. Furthermore, capturing high-intent traffic across general terms and long-tail city or position-based queries required a sophisticated technical foundation and an advanced UX redesign to maintain user retention and drive consistent conversions.
Five Goals
- Upgrade mobile-first front-end architecture to reduce page load latency under heavy visitor loads.
- Integrate AI-driven recommendation logic to pair candidate profiles with relevant job openings efficiently.
- Restructure technical SEO foundations to scale organic visibility across millions of dynamic pages.
- Streamline employer panel workflows to decrease posting abandonment and boost account retention.
- Harmonize paid media channels with organic funnels to reduce overall candidate acquisition costs.
A Three-Layer Strategy
Alien Road deployed a comprehensive methodology structured across three distinct layers to ensure long-term stability and growth for isbul.net.
Infrastructure Layer
We adopted a fast and mobile-focused front-end design approach. This upgrade directly supports the UX side of advanced filters, an easy CV creation module, and an optimized employer panel, ensuring high performance under heavy traffic loads.
Demand Layer
We integrated AI-powered job suggestions to match job seekers and employers more quickly and accurately. This demand-side matching mechanism keeps users engaged and lowers bounce rates across desktop and mobile devices.
Trust Layer
We strengthened technical SEO elements including site speed, internal linking, structured data, and indexing logic, establishing long-term authority and trust with major search engines.
A Four-Phase Timeline
The project followed a structured timeline coordinated closely through weekly reports and monthly reviews by our specialist team. Phase one involved technical auditing, GA4 tracking setup, and Search Console configuration. Phase two targeted architecture refactoring and mobile layout optimization. Phase three deployed AI matching algorithms and category indexing rules. Phase four synchronized Google Ads and Meta campaigns with organic funnels.
The Turning Point
The critical turning point occurred when the technical indexing logic and category page optimizations were fully deployed. By aligning search intent with targeted long-tail queries like Istanbul job postings and Ankara call center job postings, isbul.net unlocked substantial organic visibility. Coupled with the streamlined employer panel and easy CV creation module, the platform saw an immediate lift in session duration and a reduction in abandonment rates.
Advertising
Alien Road managed targeted campaigns across Google Ads and Meta to capture immediate candidate interest and employer acquisitions. Paid traffic strategies were continuously optimized based on conversion data, feeding high-intent users directly into the newly redesigned recruitment funnels. By targeting exact-match job seeker intents and HR decision-maker profiles, we lowered the average cost per acquisition from $4.50 to $2.95.
SEO
Our SEO framework focused on increasing visibility in both general job postings and city or position-based long-tail searches. We optimized category and location pages according to distinct search intents while bolstering site speed, internal linking, structured data, and technical indexing. Active monitoring via Search Console and custom log file analysis allowed us to scale the indexable URL pool efficiently without diluting crawl budget.
Website design
We delivered a fast, mobile-focused front-end architecture designed to facilitate job discovery and minimize steps for employer workflows. Features such as advanced filters and streamlined application steps reduced friction for mobile visitors. The employer panel redesign cut task completion times significantly, directly improving retention rates for corporate accounts posting vacancies.
Digital marketing management
Our team provided end-to-end digital marketing management, overseeing campaign alignment across channels, tracking multi-touch attribution models via GA4, and coordinating communication channels including WhatsApp support integrations. Weekly alignment meetings and monthly reviews ensured that campaign spending and organic priorities remained tightly synchronized with business growth targets.
Why it Worked
The success of the engagement stemmed from unifying infrastructure improvements with user-centric product changes. By addressing technical performance bottlenecks and search engine crawl efficiency simultaneously, we created an environment where both users and crawlers could navigate millions of listings effortlessly. The synergy between organic search visibility and targeted paid acquisition accelerated user acquisition loops.
Frequently Asked Questions
How long did the infrastructure overhaul take to complete?
The primary infrastructure and front-end redesign took four months to deploy across staging and production environments, followed by ongoing optimization throughout the 12-month partnership.
What impact did AI job suggestions have on user behavior?
AI-driven matching increased session duration by over one minute and reduced bounce rates by connecting job seekers instantly with relevant listings tailored to their search history.
How were category pages optimized for long-tail search queries?
We structured category and location pages with dynamic content modules, clean heading hierarchies, and robust schema markup to capture high-intent geographic and role-specific searches.
Did the redesign affect mobile performance metrics?
Yes, mobile page speed improved from 4.2 seconds to 1.8 seconds, helping the platform pass Core Web Vitals thresholds and boosting mobile conversion rates substantially.
