Technical SEO on Shopify goes beyond meta titles and descriptions. It covers site architecture, crawlability, indexation, Core Web Vitals, structured data, internal linking, canonical tags, and how your store is read by both search engines and AI systems. Shopify provides a strong technical foundation out of the box, but mid-market stores with large catalogues, multiple markets, B2B configurations, or complex navigation require deliberate technical SEO work to perform well. We audit, implement, and maintain the technical layer so your content actually gets found and understood correctly.

Search visibility now operates across three distinct but overlapping channels. Traditional SEO targets Google and Bing search results through rankings and click-through. GEO (Generative Engine Optimisation) focuses on how AI systems like Google's AI Overviews and Perplexity surface and summarise your content in generated answers. AEO (Answer Engine Optimisation) focuses on structuring content so it is cited directly by AI assistants like ChatGPT when buyers research products or suppliers.

All three require the same technical foundation: clean HTML hierarchy, semantic markup, structured data, fast load times, and content that clearly answers real questions. Where they differ is in how content is written and structured. GEO and AEO reward topical depth, authoritative sourcing, and direct answers over keyword density. We optimise for all three channels simultaneously, since the technical work overlaps significantly and the buyer journey increasingly starts in an AI interface rather than a traditional search box.

Core Web Vitals are direct Google ranking signals. They measure three things: how fast the largest visible element loads (LCP), how quickly the page responds to the first user interaction (INP), and how much the layout shifts during load (CLS). Shopify themes vary significantly in how they perform on these metrics out of the box, and adding apps, scripts, and third-party tools degrades performance over time. We audit your store's Core Web Vitals, identify the specific causes of underperformance, and implement fixes at the theme, script, and infrastructure level. For mid-market stores with large catalogues or heavy app stacks, this is often one of the highest-leverage SEO improvements available.

Schema Markup is structured data added to your store's code that tells search engines and AI systems exactly what your content means, not just what it says. For a Shopify store this includes product schema with pricing, availability, and reviews, organisation schema, breadcrumb schema, and FAQ schema among others. Well-implemented schema enables rich results in Google search, improves how your products appear in Shopping results, and makes your content significantly more likely to be cited in AI-generated answers.

Shopify also supports the llms.txt protocol, an emerging standard that allows stores to explicitly communicate their content structure and permissions to AI crawlers. A properly configured llms.txt file tells AI systems like ChatGPT and Perplexity which pages contain authoritative product and brand information, making it more likely your store is surfaced accurately when buyers use AI to research purchasing decisions. We implement both schema markup and llms.txt as part of our technical SEO work.

Yes, and increasingly so. Accessibility and SEO share the same technical foundation: semantic HTML, correct heading hierarchy, descriptive alt text, keyboard navigability, and fast load times. Search engines and AI crawlers read your store the same way assistive technologies do, so a store that is accessible is also a store that is easier to index and understand. We include WCAG-aligned accessibility checks as part of our technical SEO audits, covering heading structure, image alt text, contrast ratios, focus states, and form labelling. Beyond SEO, accessibility compliance is also becoming a legal requirement in several markets, including the EU under the European Accessibility Act.

Technical SEO improvements such as crawl fixes, structured data, and Core Web Vitals have visible impact within four to eight weeks as Google recrawls affected pages. Broader ranking movement takes three to six months. GEO and AEO visibility in AI-generated answers follows a similar timeframe but is harder to attribute directly. We set realistic expectations from the start and report on progress at each stage rather than waiting until results are already visible.

The first two to four weeks are about establishing clean data and a stable campaign structure. Early conversion data starts to come in from week three onwards. Meaningful optimisation requires at least two to three months of consistent data before campaigns are performing at their potential. Accounts that are actively managed and adjusted every month consistently outperform those that are not. We set realistic expectations from the start and show you progress at each stage rather than promising outcomes we cannot guarantee.