By Purva Gupta, Co-Founder and CEO of Lily AI
Key Takeaways:
- Lily AI has announced the launch of a new solution built specifically for the realities of SEO and GEO in 2025.
- The solution automatically enriches, standardizes, and optimizes product content across ecommerce websites.
- Lily AI will be speaking about our new solution and more at Cannes Lions (June 16–19) and CommerceNext (June 24–26).
To help merchants and marketers increase the visibility of their product catalogs across platforms like Google, Gemini, ChatGPT, Claude, and Perplexity, Lily AI has announced the launch of a new solution built specifically for the realities of SEO and GEO in 2025.
For most brands and retailers today, their product content lacks sufficient granular detail, semantic richness, and structured data formatting required to be easily understood, found, and recommended by search algorithms and emerging generative AI experiences.
Compounding this challenge, much of today’s product content is saturated with industry terminology and marketing jargon rather than the natural, conversational language everyday shoppers use. As a result, retailers and brands miss critical opportunities to resonate with high-intent consumers, leading to suboptimal organic traffic and conversion rates.
As Shelly Palmer advised in a recent post, now is the time to prioritize data infrastructure:
“Answer engines are only as good as the structured information they can access. Organizations are investing heavily in clean product feeds, comprehensive FAQ markup, and detailed schema implementations. If an AI can’t parse your facts accurately, it will quote someone else’s.”
SEO and GEO Visibility, or Invisibility
By failing to create content that is both technically robust and consumer-informed, marketers limit their visibility and product discoverability in both traditional and AI-driven search environments. Put simply, merchants and marketers need to be found wherever consumers are shopping, and those that aren’t will lose the sale.
Lily AI’s 2025 consumer research revealed the sales impact of sub-optimized content, with ~80% of consumers saying they’ve abandoned a search because they couldn’t find what they wanted. In the same research, 40% reported using an AI-powered search engine for online shopping.
Supporting this insight, Bain & Company found 80% of consumers rely on “zero-click” results 40% of the time when using AI search engines, highlighting the rapid adoption of these platforms.
Solution Features and Benefits
Our new offering addresses the challenge of “Being Found to Be Sold” in a world where product discovery is being disrupted.
By leveraging proprietary AI and a deep understanding of product data assets and consumer intent. The solution automatically enriches, standardizes, and optimizes product content across ecommerce websites, ensuring product listings are not only comprehensive but also precisely aligned with how consumers search and how AI interprets product information for personalized recommendations, conversational commerce, and relevant search results.
This solution includes:
- AI-Ready Structured Data: The PCO platform audits each SKU and delivers enriched JSON-LD fields (Product, FAQPage, ImageObject, etc.), plus optimized alt-text and on-page content (meta titles, description, PDP copy). This creates a machine-optimized knowledge graph for every product, boosting visibility across Google, Bing, and AI platforms like ChatGPT and Perplexity.
- Full-Funnel Query Intelligence & Bulk Content Refresh: PCO analyzes shopper searches and long-tail queries, maps intent insights to the product catalog, and updates product titles, descriptions, and attributes in real consumer language, at scale. Instantly closes keyword gaps and keeps catalogs fresh and aligned with changing search trends, all without manual effort.
- Shopper-Friendly Language: Proprietary algorithms turn product data into clear, benefit-driven copy, boosting SEO authority, powering concise AEO answers, and providing LLMs with rich context for GEO citations.
For example, a retailer’s product page FAQ [e.g., “Does every seat recline?” “Yes, all three seats feature independent power recline”] should be augmented with FAQPage schema to convert on-page Q&As into machine-optimized data that increases your chances of appearing in rich search results, featured snippets, and AI-generated citations.
In Summary:
Search is changing, and so must product content. With optimally structured and enriched product content, including product attributes, titles, descriptions, metadata and schema, marketers can maximize organic search visibility across SEO, GEO, and beyond.
To learn more, schedule a demo or time to meet in person at Cannes Lions (June 16–19) or CommerceNext (June 24–26)!