AI-enhanced SEO for Google Organic Shopping Feed Optimizations
After a successful SEO-proposed and led test of AI-enhanced Organic Shopping Listings in 2022, the SEO team I was leading worked to build AI-assisted processes for content optimizations, leading to stronger performing Organic Shopping in the US for a major footwear brand.
As part of our 2023 project, the team utilized Google Gemini & open sourced FeedGen AI technology to review over 12,000 product-variant titles and descriptions within the Shopping feed, identifying areas of further optimization based on various keyword synonyms and scraped web/LLM content to provide a larger match-rate for relevant user searches.
Primary Goals:
Boost (or at least maintain) traffic by increasing keyword coverage for relevant searches
Growing online sales via conversions by a minimum of 2-3% (our success metric hit during the initial test)
Decrease build time for hybrid AI+human optimizations
Our results blow away any predicted successes, even when accounting for seasonal shifts in consumer behavior
After conducting a 30-day pre/post analysis to determine impact seen across the feed, we achieved a +25% increase in Organic Shopping traffic, along with a +24% increase in both transactions and revenue. The SEO team also cut organic feed optimization build time in half with this approach that is now being implemented globally.