The updates are largely aimed at providing consumers with more visual and experiential modes to shop. Simplified search-based shopping: US users can now search "shop" in combination with a given product (eg "shop office chairs"). In response, they'll be taken to a shoppable visual feed of products and also gain visibility into real inventory in stores near them. The feature is currently mobile-only, but will be available on desktop soon. Shoppable looks: When shopping for clothes on Google, users can now "shop the look" when they see an outfit they like.

Ahead of today's scheduled Google Marketing Live keynote, and just weeks after the rebrand of its advertising tool suite, the online advertising giant has unveiled a host of product updates. These include: responsive search ad formats powered by machine learning; YouTube tools which can better measure marketer's branding KPIs; plus new campaign formats designed to drive tangible business results such as customer acquisition and store visits, etc. The announcements were made in a blog post by Jerry Dischler, Google, vice president of product management, where he discussed how machine learning is at the heart of all the latest updates, which are geared towards helping advertisers keep apace with the changes in how consumers are interacting with their devices. These new ad formats use machine learning to help advertisers better optimize their campaign copy to match the best performing ad format for a particular search query. "Simply provide up to 15 headlines and 4 description lines, and Google will do the rest. By testing different combinations, Google learns which ad creative performs best for any search query," reads Dischler's post.