In this Friday 15 episode, Brian and Andy discuss the evolution of B2B eCommerce search, highlighting how AI is turning the traditional search box into an intent box. Guest Andrea Apollinoli from Coveo shares insights on current search challenges, the role of generative AI, and the future of bot-driven commerce.
A short editorial from the VEONIB team on why this content matters.
The traditional search box is evolving into an intent-driven interface, powered by AI, to meet B2B buyer expectations and enable bot commerce.
This video uniquely highlights the gap between current search capabilities and the AI-driven future, emphasizing that basic retrieval issues persist even as advanced AI emerges.
B2B eCommerce leaders should assess their search maturity and invest in AI-powered search solutions to stay competitive.
An AI-enhanced search interface that interprets user intent and provides contextual results, replacing traditional keyword-based search.
The search functionality within a website that allows users to find products or content by entering queries.
AI systems that generate new content, including conversational answers, based on user queries and data.
A search method that uses vector embeddings to understand semantic meaning, improving relevance for complex queries.
Commerce transactions where AI agents or bots autonomously search, compare, and purchase products on behalf of users.
The process of helping users find products through search, navigation, and recommendations.
Online business-to-business transactions, where companies buy and sell products or services.
Why is site search more important in B2B eCommerce?
B2B buyers are often professional and know exactly what they need, so they bypass navigation and go straight to search. This leads to higher conversion rates, with search users converting at 2.5 times the rate of browsers.
What are common issues with B2B site search?
Even today, B2B search struggles with basic retrieval issues like missing dashes, prefixes, or slight variations in product names, leading to poor results.
How is AI changing B2B search?
AI enables natural language queries and intent understanding, allowing users to ask questions in plain language and get accurate, contextual results, moving beyond simple keyword matching.
What is the 'intent box' concept?
The intent box is an evolution of the search box where AI interprets the user's underlying intent, not just the literal query, to provide more relevant and helpful results.
Will bots replace human buyers in B2B?
Bot-to-bot commerce is emerging for routine, low-value transactions, but complex purchases may still require human interaction. Both will likely coexist.
How do you measure the success of AI-powered search?
Traditional metrics like click-through rates may not fully capture AI search performance, as users may get answers directly without clicking. New analytics approaches are needed.
What is the paradox of choice in search?
Returning too many results can overwhelm users and hinder decision-making. Effective search should narrow down options to the most relevant ones.
How can companies improve their search relevance?
By leveraging AI and semantic search technologies, companies can better understand user intent and provide accurate results, even with typos or incomplete queries.
What is the role of generative AI in eCommerce search?
Generative AI can provide conversational answers, product comparisons, and recommendations, creating a more interactive and helpful search experience.
Why are B2C companies like Home Depot moving into B2B?
B2B is often more profitable and reliable than B2C, and companies with strong digital capabilities can effectively serve B2B customers, as seen with Home Depot's pro segment growth.