Technical & On-Page SEO

A comprehensive crawl-based audit that identifies every technical issue preventing Google from properly crawling, indexing and ranking your site — including broken links, redirect chains, duplicate content, canonicalisation issues and crawl budget waste. Findings are prioritised by impact and implemented systematically.

• Full site crawl to identify crawl errors and blocked resources
• Index coverage analysis (indexed vs. non-indexed pages)
• Redirect audit: chains, loops and 404 errors
• Duplicate content and canonicalisation review
• Internal link equity and crawl depth mapping
• Mobile usability and rendering issues
• HTTPS and security headers check
• Structured fix roadmap with impact prioritisation

Optimising the on-page signals Google uses to understand what each page is about — title tags, meta descriptions, heading structure, content depth, internal links and keyword targeting. Every page is optimised around specific search intent, not just keyword density.

• Title tag optimisation for target keywords and click-through rate
• Meta description writing to improve SERP click rates
• Heading structure (H1–H4) review and optimisation
• Content depth and topical authority analysis
• Keyword mapping: one primary intent per page
• Internal link anchor text and relevance improvements
• Image alt text and file naming optimisation
• Page-level content gap identification and recommendations

Google uses Core Web Vitals (LCP, CLS, INP) as a ranking signal. We diagnose and fix the performance issues that cause poor scores — slow server response, unoptimised images, layout shifts from ads or fonts, and excessive JavaScript. Improvements are measured before and after in real-user data.

• Largest Contentful Paint (LCP) diagnosis and improvement
• Cumulative Layout Shift (CLS) identification and fix
• Interaction to Next Paint (INP) optimisation
• Image compression, modern formats (WebP, AVIF) and lazy loading
• Server response time and TTFB improvement
• JavaScript and CSS blocking resource reduction
• Font loading optimisation to prevent FOUT/FOIT
• Before/after CrUX data comparison report

Structured data (JSON-LD) tells Google and AI systems exactly what your content is about — enabling rich results in search (FAQ snippets, review stars, How-To steps, breadcrumbs) and making your business more discoverable via AI assistants and large language models that rely on structured signals.

• Organization and LocalBusiness schema for brand authority
• Service and Product schema for service pages
• FAQPage schema for FAQ sections (rich snippet eligible)
• BreadcrumbList schema for correct breadcrumbs in SERP
• HowTo schema for process and guide pages
• Article schema for blog and resource content
• Review and AggregateRating markup where applicable
• Google Rich Results Test validation after implementation

A well-structured sitemap ensures Google discovers every page you want indexed. A correctly configured robots.txt prevents crawl budget being wasted on pages that should never appear in search results. Both are foundational technical SEO elements often misconfigured on PHP and custom-built sites.

• XML sitemap generation covering all public canonical URLs
• Sitemap exclusions: admin pages, parameters, duplicate URLs
• Sitemap submission to Google Search Console and Bing
• Robots.txt audit and reconfiguration
• Blocking staging environments, parameter URLs and internal tools
• Crawl budget analysis for large sites
• Dynamic sitemap generation for content-heavy sites
• Search Console index coverage monitoring setup

For businesses targeting Germany, Austria, Switzerland and the broader EU market — ensuring Google serves the correct language version to each country and search locale. Hreflang implementation prevents duplicate content penalties across language and country variants and helps each localised page rank in its target market.

• Hreflang tag audit and correct implementation (HTML, sitemap or HTTP header)
• Language and country targeting configuration in Search Console
• Duplicate content assessment across language variants
• URL structure recommendations for multilingual sites (subdomain vs. subfolder)
• German-language keyword research and targeting
• DACH market (DE, AT, CH) geo-targeting configuration
• Currency and localisation signal review
• International crawl and index coverage monitoring