Is Commerce Search the New SEO? How Should Adobe Commerce Merchants Prepare for AI-Driven Product Discovery?

​@vijaygolani  I believe we are moving from traditional SEO to AI discoverability. In the future, success won't be depend only on ranking but also on how well AI systems can understand, recommend, and represent your products.

For any merchant, investing in high quality product data, structured attributes, and API first experiences today will be key to staying visible in this AI powered discovery channels in future

​@vijaygolani 

I believe we're moving beyond optimizing for channels and toward optimizing for discoverability.

Whether discovery happens through search engines, on-site search, AI assistants, marketplaces, or conversational experiences, the common requirement is high-quality, well-structured product data.

From my perspective, AI readiness for Adobe Commerce is not only adopting individual AI features but more about building a commerce foundation that enables products to be understood, surfaced, and recommended across evolving discovery channels.

The merchants that invest in product data enrichment, catalog governance, and intent-driven merchandising today will be best positioned to benefit from the next generation of commerce experiences.

nice

I thnk now Adobe Commerce stores should adapt https://experienceleague.adobe.com/en/docs/commerce/live-search/live-search-admin/semantic-search

I believe we're moving toward AI discoverability, not away from SEO. The foundation is still the same: clean product data, rich attributes, consistent taxonomy, and quality content. The difference is that AI assistants use this information to understand and recommend products, not just rank pages.

For Adobe Commerce, I'd focus on enriching catalog data, leveraging Live Search and AI-powered merchandising, and preparing content for conversational experiences. Teams that invest in structured, trustworthy product data today will be much better positioned for the next generation of AI-driven shopping.

Adding a few practical points to the product data advice above. First, AI assistants and search engines both rely on pages they can fetch and read without running much JavaScript, so confirm that your product and category pages return full HTML with price, availability and description when you view the raw page source. Second, check that your structured data is complete and valid. Product markup should include name, image, SKU, GTIN or MPN where you have one, price, currency, availability and review data, and it should match what is visible on the page. Third, review robots.txt and your CDN or firewall rules, because bot protection often blocks crawlers by accident, including AI crawlers. Fourth, keep canonical tags, the XML sitemap and hreflang consistent, especially with configurable products and layered navigation filters that create near-duplicate URLs. Finally, look at server logs for a few weeks to see which bots actually request your catalog and which URLs they skip.