Technical SEO for Recruitment Websites

Website performance affects every recruitment website more acutely than most other industries, for two reasons: your job listing pages are uniquely prone to performance issues, and your visitors are uniquely impatient.

The Job Listing Performance Problem

A typical recruitment website has hundreds or thousands of job listings, each with dynamic content: job descriptions, salary ranges, location data, application forms, and related jobs. Pages that aggregate listings (search results, sector pages, 'latest jobs' widgets) load data from databases, apply filters, and render complex layouts. All of which add latency.

Many agency websites use heavy JavaScript frameworks to power their job search functionality. These frameworks add 200-500KB of JavaScript that must be downloaded, parsed, and executed before the page becomes interactive. On a mobile device with a moderate connection, this translates to 3-5 seconds of unresponsiveness.

The Impatient Visitor

Recruitment website visitors have unusually low patience, because they're typically browsing during work hours: on mobile, during commutes, in between meetings. Every extra second of load time is another chance for the visitor to give up and return to the search results, where your competitors are already listed. Measure your own bounce rate against load time by device in GA4 rather than trusting a generic industry figure. The relationship is real, and the size of it is specific to your site.

This checklist is ordered by impact, address the items at the top first, as they'll produce the largest improvements.

Critical Priority

1. Image optimisation: Convert all images to WebP format, implement responsive images with srcset, and lazy-load images below the fold. Most recruitment websites serve full-resolution hero images to mobile devices. A single change to responsive images can reduce page weight by 60-80%.

2. JavaScript audit: Identify and remove unused JavaScript. Common culprits on recruitment sites: analytics tools loaded on every page (consolidate to one), chat widgets that load immediately instead of on interaction, and legacy jQuery code alongside modern frameworks. Target: total JavaScript under 200KB compressed.

3. Font optimisation: Subset fonts to include only the characters you use. A full Google Fonts family can be 200KB+; subsetting reduces this to 20-30KB. Use font-display: swap to prevent invisible text during font loading.

High Priority

4. Server response time: Your server should respond in under 200ms. If it doesn't, investigate database query performance (job listing queries are commonly unoptimised), hosting quality, and caching configuration.

5. Third-party scripts: Audit all third-party scripts (analytics, chat, A/B testing, tracking pixels). Each adds latency. Load non-essential scripts asynchronously or defer them until after the page is interactive.

6. CLS fixes: Layout shifts on recruitment sites are usually caused by images without explicit dimensions, dynamic content (job counts, salary data) that loads after the initial render, and web fonts that cause text reflow. Set explicit dimensions for all media, use skeleton screens for dynamic content, and implement font-display: optional for non-critical fonts.

Ongoing Monitoring

Set up real-user monitoring (RUM) to track Core Web Vitals from actual visitors. Google Search Console reports field CWV data by page. Monitor this monthly and investigate any pages that regress from 'Good' to 'Needs Improvement.'