The Approach
Five Moves That Made the Whole Catalog Easy for Google and AI Assistants to Find, Read and Recognise.
The thinking was simple: if Google and AI assistants could find every page, read every product and recognise the brand behind them, organic revenue would have room to move. Five decisions followed, each one building on the one before.
01. Writing Catalog-Aware Content That Knows How Collections, Products and Pages Connect to One Another
The starting point was content that understood the catalog it sat in. Automated JSON prompting, built with an entity-SEO focus, produced pages that reflected how collections, products and categories relate to one another. Contextual internal linking then connected them across the catalog, so pages supported one another. The effect showed at the top of the catalog: core and collection queries surged, with “timex watches” up 24%, “for men” up 60%, Waterbury up 65% and Marlin up 40%.
02. Opening the Index to More Product Pages Through Pagination, So the Full Catalog Can Be Found
The goal was to index the full catalog. Pagination was used to reduce the number of pages sitting in “crawled currently not indexed”, which pushed more product pages into the index. Because the change worked across the whole catalog and not on single pages, it fuelled a broad, catalog-wide revenue surge.
03. Giving Every Product a Full Structured-Data Profile, With gtin13 and Complete Variant and Spec Fields
Each product page was described to machines in full. Product structured data used gtin13 plus complete variant and spec fields, which made every page entity-rich. The signals moved in the right direction: click-through rate climbed from 4.4% to 5.3%, and average position improved from 6.6 to 6.2.
04. Grounding Timex India as a Recognised Brand Entity Through Wikidata and the Organization Schema
Beyond individual pages, the brand itself needed a clear identity for machines to retrieve from. Timex India was mapped to Wikidata and aligned to the Organization schema, which gave search engines and AI assistants a stronger, more defined brand entity. The same foundation supports the growth in AI-assistant sessions that follows in this case study.
05. Filling Category Gaps Found in the Keyword Universe With New Colour, Size and Gender Pages
The last move extended coverage. Using the keyword universe as a guide, new pages were built for colour, watch and gender combinations and for size, watch and gender combinations. The catalog now answered more of the ways people look for a watch, and SEMrush non-branded Top-3 keywords rose 4.9%.