MAGENTO SEO • ENTERPRISE ECOMMERCE
Enterprise-grade organic search strategy for Magento and Adobe Commerce stores. From technical architecture and performance tuning to multilingual product optimisation across global markets.
Magento SEO Services
Flat catalogue configuration, full-page cache optimisation, XML sitemap management for large catalogues, layered navigation SEO, and crawl budget control for stores with thousands of products.
Attribute-based navigation optimisation, configurable and grouped product SEO, category tree restructuring, and canonical strategy for products that appear in multiple categories.
Varnish cache configuration, Redis session and cache tuning, Elasticsearch optimisation, image CDN setup, and Core Web Vitals improvements — all with direct impact on search rankings.
SEO-safe upgrades from Magento 1 to Magento 2 or Adobe Commerce. URL preservation, redirect mapping, extension compatibility audits, and ranking protection throughout the upgrade process.
FAQ
Magento 2 has significantly better performance out of the box, improved URL handling, built-in full-page cache, and better mobile rendering. However, M2 also introduced new SEO challenges around layered navigation URLs and requires careful configuration to avoid duplicate content from filterable attributes.
We configure canonical URLs for filtered pages, control which attribute combinations are indexable, implement proper meta robots directives for low-value filter combinations, and ensure the most commercially valuable filtered pages are crawlable and optimised.
Yes. Headless Magento with PWA Studio or custom React frontends requires server-side rendering or pre-rendering for SEO. We implement SSR strategies, ensure proper metadata delivery, handle JavaScript rendering for Googlebot, and manage the API-driven content delivery for search visibility.
Large catalogue SEO focuses on crawl budget management, XML sitemap segmentation, priority-based indexation strategy, internal linking architecture, and ensuring Google discovers and indexes the most commercially important pages first. We use log file analysis to understand how Googlebot actually crawls the store.
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