Ecommerce
SEO Audit.

I crawl the store with Screaming Frog and Sitebulb, then compare those findings with indexation and crawl data in Google Search Console. The review covers robots.txt, XML sitemap quality, status codes, redirect chains, canonical tags, JavaScript rendering, and mobile-first indexing issues that can prevent search engines from reaching or understanding important pages.

For larger catalogs, I examine crawl budget and, where access and scale justify it, use log file analysis to see how Googlebot actually moves through the site. This often reveals wasted crawling across faceted navigation, internal search results, parameters, and duplicate URL paths while priority collection pages receive less attention.

Your navigation should help shoppers and search engines reach important revenue pages without unnecessary depth. I map the hierarchy from the homepage to categories, subcategories, collection pages, and product pages, then review click depth and internal link distribution.

The audit identifies orphan pages, weak category relationships, broken paths, and cases where informational content keeps authority instead of passing it to commercial pages. Recommendations show where contextual links, breadcrumbs, navigation, or related-product modules can create a clearer structure.

Collection pages often carry the strongest commercial search opportunity, yet many stores treat them as auto-generated product grids. I review whether each priority collection has a distinct search intent, useful entity coverage, optimized headings and copy, appropriate structured data, and enough internal support to rank.

I also look for overlapping collections, weak pagination handling, indexable filters, and templates that force every category into the same generic format. The objective is to make collection pages useful landing pages, not add filler beneath a grid.

Product pages are assessed at both template and sample-page level. I review content depth, titles, media, review integration, internal links, availability handling, and Product schema for details such as price, availability, brand, SKU, ratings, and offers.

The audit also checks duplicate content across variants, manufacturer descriptions reused across the catalog, and thin content that gives search engines little reason to rank one product over another. For discontinued products, I assess whether the page should remain live, redirect, or guide users to a relevant replacement.

Ecommerce platforms can create many URLs for the same or nearly identical content through sort orders, filters, tracking parameters, product variants, pagination, and multiple category paths. I map these patterns and assess whether canonical tags, internal links, redirects, and indexation controls send consistent signals.

Using ranking and page-level data from Ahrefs and Google Search Console, I also map keyword cannibalization. The goal is to distinguish helpful coverage from cases where two collection pages, a blog post, and a product page keep replacing one another for the same query.

The performance review uses field data where available, not only a single lab test. I examine Core Web Vitals in Google Search Console, including Largest Contentful Paint and Cumulative Layout Shift, alongside template-level causes such as oversized media, third-party apps, delayed fonts, and unstable product elements.

Because Google uses mobile-first indexing, mobile rendering and usability receive specific attention. Recommendations separate broad template problems from isolated page issues so your developers know where one fix can improve thousands of URLs.

Technical health alone will not create demand coverage. I compare your existing collections, products, guides, and supporting content against the topics and buying intents competitors cover, then identify missing or underdeveloped opportunities.

The analysis looks beyond search volume. It considers commercial relevance, the role of each page in the customer journey, whether your store has enough evidence to answer the query, and how new content can support category pages through internal linking.

The audit assesses whether search and answer engines can extract clear facts about your products, categories, brand, policies, and expertise. I review structured data, Product schema, page-level entity clarity, concise answer passages, comparison content, authorship signals, and consistent brand information.

I also identify opportunities for useful question-led content and FAQ schema without turning pages into repetitive FAQ farms. No audit can guarantee an AI Overview or ChatGPT citation, but your store can provide clearer, better-supported information that is easier for these systems to interpret and cite.

An audit needs a reliable baseline. I review Google Search Console configuration, GA4 ecommerce events, organic landing-page reporting, and conversion tracking for gaps that could distort decisions.

Checks include whether product views, add-to-cart actions, checkout steps, and purchases are recorded consistently, and whether cross-domain or multi-market setups fragment the journey. This allows future SEO work to be measured against revenue and conversion behavior, not rankings alone.