Search Behaviour Review
Look at what customers actually search for, which queries return nothing useful, and where searching visitors drop out compared with those who browse.
TAB ON TECH
TAB ON TECH improves ecommerce site search and product discovery on Shopify, so the customers who already know what they want can find it, refine it and buy it without leaving.
Trusted by ecommerce brands
Ecommerce SEO is about more than rankings. We look at store structure, customer journeys, and the commercial value of each page.
Our work covers technical SEO, site architecture, on-page optimisation, content, collection and product pages, and internal linking. We connect these areas with usability and development needs so SEO improvements support long-term ecommerce growth.
Enquire about ecommerce SEOOur Search Process
A structured four-step process connects search behaviour, product data, merchandising and continuous refinement.
Look at what customers actually search for, which queries return nothing useful, and where searching visitors drop out compared with those who browse.
Review the product attributes, naming and taxonomy that search relies on, since relevance is usually limited by data quality before it is limited by the search tool.
Improve the search field, suggestions, results layout, filtering and merchandising rules so results answer intent and reflect commercial priorities.
Track search usage, no-result queries and conversion from search, then refine synonyms, ranking and content as the catalogue and customer language change.
What We Improve
Review how the search field is surfaced, how suggestions appear as customers type, and how synonyms, misspellings and empty results are handled.
Examine how products are ranked for a query, which attributes influence relevance, and whether the first screen of results answers the intent behind the search.
Consider how commercial priorities, availability and promotions are reflected in results without overriding what the customer actually asked for.
Review the filters offered after a search, how they map to product data, and whether customers can narrow results without losing their place.
Look at how search connects to navigation and collections, so customers browsing and customers searching reach relevant products by either route.
Review the mobile search journey specifically: field visibility, suggestion behaviour, result density and how refinement works on a small screen.
Our SEO Tech Stack
Our ecommerce SEO workflow combines crawling, keyword research, analytics, and search performance data.
Ahrefs and Semrush support keyword and competitor research. Screaming Frog helps identify technical issues, while Google Search Console and GA4 provide search and performance data. Microsoft Clarity adds insight into customer behaviour.
Together, these tools help us turn SEO data into clear priorities for technical, content, and ecommerce improvements.
Read our Shopify SEO guideSearch Performance
Understand what customers ask for in their own words, including the queries your catalogue does not answer.
Results that reflect both customer intent and commercial priorities rather than one at the expense of the other.
A prioritised view of the product data, UX and merchandising work that will make discovery easier next.
Is Search-First Right for You?
Search-first work suits ecommerce teams whose customers arrive knowing roughly what they want: broad catalogues, many variants, technical products or ranges where browsing alone is slow. If your catalogue is small enough that navigation already covers it, we will usually point you towards conversion or SEO work instead.
See if we're a good fitOur Search & Analytics Stack
Ecommerce search depends on the search platform, the product data behind it and the analytics that show how customers use it. Our stack brings together the tools we use to review search behaviour, structure product information and measure whether discovery is genuinely improving.
FAQs
Search First is an ecommerce approach that treats on-site search and product discovery as a central part of the shopping journey rather than a secondary utility.
Site search helps customers find relevant products faster, especially when a store has a large catalogue, multiple categories or complex product attributes. Better search can reduce friction and improve product discovery.
Shopify search optimisation focuses on improving how customers find products through search, including query relevance, filters, merchandising, product data and the overall search experience.
Yes. Improving search can help customers reach relevant products more quickly and reduce dead ends in the buying journey, which can support stronger conversion performance.
Standard site search is often treated as a basic lookup tool. A Search First approach gives more attention to search relevance, filtering, merchandising, product discovery and the role search plays across the customer journey.
Yes. Search-led experiences can be especially useful for stores with large or complex catalogues because customers need efficient ways to narrow options and find relevant products.
Areas can include search relevance, autocomplete, filtering, synonyms, product data, merchandising rules, zero-result handling, category discovery and the presentation of search results.
Yes. Search merchandising can help control which products are prioritised for certain queries, campaigns or commercial goals while still maintaining a useful customer experience.
Search-led product discovery uses search, filters, recommendations and relevant product organisation to help customers move from intent to suitable products more efficiently.
Yes. Mobile shoppers often have less screen space and less patience for complex navigation, so clear search, filtering and product discovery can make the journey easier to use.
Search quality depends heavily on product titles, descriptions, attributes, tags and structured product information. Better product data can help search systems return more relevant results.
Yes. Filters and faceted navigation can help customers narrow large result sets by attributes such as category, price, size, colour or other relevant product characteristics.
Zero-result searches should be reviewed to identify missing synonyms, content gaps, product-data issues or alternative products that can help customers continue their journey instead of reaching a dead end.
Yes. Search First principles can be applied to Shopify and Shopify Plus stores, with the implementation depending on catalogue size, search requirements, integrations and the storefront architecture.
Yes. Search-led experiences can be built into Hydrogen and other headless Shopify storefronts, where the frontend can be customised around specific search and product-discovery requirements.

Upgrade or migrate to Shopify Plus with TAB ON TECH. Our team can support Shopify Plus projects including store builds, migrations, development and ongoing ecommerce requirements.
Upgrade to Shopify Plus with TAB ON TECHShopify experts
TAB ON TECH helps ecommerce brands build, improve, and grow Shopify stores. We support new builds, migrations, ongoing development, SEO, and conversion optimisation.
Our team can help plan the right approach based on your store, goals, and current challenges.
Get in touch