Webinar Recap: Search in the Age of AI — How Do I Get Found?

Kensium kicked off our monthly webinar series last week, with the first episode covering AI search visibility. In “Search in the Age of AI: How Do I Get Found?” Kensium’s leadership team unpacked how artificial intelligence is fundamentally reshaping how users discover and interact with brands online. Led by Anusha Chiyadu, VP of Creative & Marketing Services, and Ricky Bhavnani, Marketing Manager, the session highlighted how search has evolved from simple keywords to dynamic, conversational, and multi-channel discovery.

What’s in The New Era of Search Behavior?

Attendees learned that AI-driven visitors convert nearly nine times higher than traditional search users, according to Seer Interactive. This aligns with data from Shopify’s Future of Commerce Report (2025), which notes that shoppers now expect instant, conversational interactions directly in-chat or via AI assistants (Shopify, 2025). Meanwhile, 65% of Google searches now end without a click, as AI-generated summaries and answer boxes dominate visibility (Semrush, 2024).

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AI Search Is Fragmented — and Full of Opportunity

Unlike the single-engine era of Google dominance, the AI search landscape is now distributed across multiple players. Kensium shared data showing that while Google AI leads with 45.19% market share (2B users), platforms like ChatGPT (700M users), Meta AI (1B), and Gemini (450M) are rapidly expanding. This reinforces Google Skillshop’s guidance that businesses should maintain a presence across multiple discovery surfaces—from Search and YouTube to AI-powered commerce experiences (Google Skillshop, 2025).

Winning in AI Search: Content, Tech, and Trust

The webinar outlined three pillars of AI visibility:

1. Content Core — Create Unique, Helpful, Expert, Authoritative, Trustworthy (U.H.E.E.A.T) content.

2. Technical Foundation — Ensure crawlability, structured data, and AI-friendly schema.

3. Reputation Signals — Strengthen citations, reviews, and consistent brand mentions.

For eCommerce, Shopify and BigCommerce both emphasize structured data and high-quality imagery as key ranking signals across AI and visual search (Shopify Learn; BigCommerce Blog, 2025). Kensium also noted that visual search is growing at a 17.4% CAGR through 2032, with Google processing over 10 billion visual searches each month.

From Traffic to Revenue

A key takeaway was to optimize content for revenue, not just traffic. Rather than generic “Top 10” content, Kensium recommended in-depth buyer guides with clear CTAs that lead to conversions. As Adobe Commerce’s Digital Trends Report (2025) underscores, the most successful brands are those connecting AI-driven personalization with measurable ROI outcomes.

The Bottom Line

AI search is no longer about ranking for keywords — it’s about being discoverable across conversations, credible in every mention, and relevant wherever users look. As Kensium’s team put it:

“Don’t add to the noise — add new value.”  

👉 Learn more about AI Search Optimization: https://www.kensium.com/ai-search-optimization

👉 Read our GEO Strategy Guide: https://www.kensium.com/blog/b2b-ecommerce-strategy-generative-engine-optimization-geo

Works Cited (MLA):

• Seer Interactive. “6 Learnings, 1 Site – How Traffic from ChatGPT Converts.” 2025.

• Semrush. Zero-Click Study. 2024.

• Shopify. Future of Commerce Report. Shopify.com, 2025.

• Google Skillshop. AI and Search Optimization Learning Path. 2025.

• BigCommerce. “AI and Visual Commerce in 2025.” BigCommerce Blog, 2025.

• Adobe. Digital Trends Report 2025. Adobe.com.