[Infographic] AI Search in eCommerce: The Action Checklist (2026 Edition)

Doki Nguyen

June 17, 2024

June 19, 2024

•

3 min read

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AI Search is no longer a “nice to have” for eCommerce. It is the fastest path to higher conversion because searchers are already telling you what they want.

The challenge: conventional site search only matches keywords. Shoppers do not search in perfect product language; they search as humans do. That gap creates “no results,” irrelevant products, and missed revenue. AI search closes that gap by understanding intent (not just words), then learning which results actually convert.

To make this practical, the infographic below is built like an action checklist. You can use it to audit your current search experience, prioritize quick wins, and launch a simple improvement plan.

Key stats

Searchers drive outsized revenue: Searchers are ~24% of visitors but drive 44% of eCommerce revenue and convert at 2.5x the rate of non-searchers.
Global eCommerce scale: Retail eCommerce sales worldwide are forecast to reach approximately $6.419T in 2025, representing 20.5% of total retail.
AI is mainstream in business: 78% of organizations used AI in 2024, up from 55% the year before (as reported in the AI Index).
AI is accelerating: McKinsey’s latest survey reports 88% “regular AI use” in at least one business function (vs 78% a year earlier).
Shoppers are using AI to shop: A Profound survey (reported via iPullRank) found 58% of shoppers use AI at least weekly to browse or buy products.

AI shopping traffic spike: Adobe reported AI-driven traffic to U.S. retail sites rising sharply (including a reported 4,700% increase in a 2024 holiday context, with updated data through July 2025).

Infographic: AI Search in eCommerce - The Definitive Guide

Wrapping up

AI search can feel complex until you see it as a simple outcome: shoppers find what they mean, not just what they type. When you improve that experience, you increase conversion rate, increase basket size, and reduce dead-end searches that quietly drain revenue.

Use the checklist above to prioritize improvements you can actually ship. Start with the foundations (data + UX), turn on intent features (synonyms, typo tolerance, semantic understanding), then measure the KPIs that matter. Once the loop is working, it becomes a compounding advantage.

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Doki Nguyen

•

Content Marketing Specialist

June 19, 2024

•

3 min read

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[Infographic] AI Search in eCommerce: The Action Checklist (2026 Edition)

Explore AI search solutions of Boost Commerce

Start your 21-day free trial

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