Observed Signal · Jun 8, 2026 · Research / Survey · Source: https://marketingtechnews.net/feed/ · Impact: 3/5 · Sentiment: Positive
Adobe: AI Shopping Tools Widely Used, Prompts Remain Hurdle
Adobe for Business surveyed over 1,000 US shoppers and found 86% use AI tools while shopping — from integrated recommendations and image search to generative chatbots — but many struggle to get desired results due to prompt phrasing. Shoppers tried an average of three prompts before abandoning AI recommendations; Gen Z writes 25% more detailed prompts than Baby Boomers and abandons requests at higher rates. Integrated features ("Recommended for you" and image search) are each used by 52% of shoppers; generative chatbots and customer service chat windows by 36%. AI-assisted shopping is most common for electronics (40%) and apparel (39%). Privacy (29%), bias (24%) and trust (23%) are top concerns. Shoppers said improved recommendation accuracy, more reliable data and stronger privacy controls would increase engagement. Adobe described agentic AI systems that act on shopper intent using product data and customer history.
Survey from a major vendor (Adobe) highlights widespread consumer use of AI in shopping, usability barriers (prompts), and priorities (accuracy, privacy) that affect retail personalisation, customer experience and retail media strategies.
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Key Takeaways & Evidence Grounding
- Adobe surveyed more than 1,000 US shoppers (Adobe for Business research).
- 86% of surveyed shoppers reported using AI tools while shopping.
- "Recommended for you" sections and image search were each used by 52% of shoppers; generative AI chatbots and customer service chat windows were each used by 36%.
- Shoppers tried an average of three prompts before abandoning AI-generated recommendations; nearly 1 in 5 abandoned a request due to phrasing difficulty.
- AI-assisted shopping was reported most for electronics (40%) and apparel/accessories (39%); privacy was the top concern (29%).
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How Brands Become Visible to AI Shopping Agents
Sponsored by Adobe Commerce, the article explains how AI shopping assistants (e.g., ChatGPT, Gemini) are reshaping product discovery and creating a new discoverability requirement for retailers. Adobe reports AI-referred traffic to U.S. retail sites rose 393% year-over-year in Q1 2026 and converts 42% better than other traffic. Adobe’s research finds the average AI readiness score for U.S. retail product pages is 66% (best 82.5%, lowest 54.2%), indicating many product pages are not machine‑readable. The piece advises prioritizing high-value SKUs, adding structured, explicit product attributes (titles, specs, use cases, availability), and running audits with tools like Adobe’s AI Content Visibility Checker. Quotes come from Adobe’s Shaun McCran and Alex Jose, and the article cites BCG warnings about risks in the agentic commerce era.
Criteo Report: AI Aids Shopping but Stops Before Checkout
Criteo's "2026 Commerce & AI Trend Report," based on a January–February 2026 consumer survey of 6,379 people across the US, UK, Germany, France, Japan and South Korea, finds AI increasingly central to product discovery but rarely completing purchases. Marketplaces (36%) and search engines (28%) remain the dominant search entry points; AI assistants account for 14% as a complementary channel. Consumers use AI mainly for research and comparison—nearly half use AI tools for product comparisons while only 8% report buying through those tools. Visual (44%) and voice (26%) search are rising, and respondents prioritize a mix of personalization and unexpected discovery. Trust factors—privacy (46%) and protection against manipulated content (52%)—and strong brand recognition (75%) remain decisive for completing purchases.
AI Shopping Adoption Grows, But Trust Limits Transactions
New data reported by MarTech from Exploding Topics (May 1, 2026) shows widespread consumer use of AI in shopping—77.6% used AI for shopping in the past six months and over 43% used it weekly—but a clear trust ceiling prevents AI from completing purchases. About 68.64% of users say AI influenced a purchase they otherwise would not have made, yet more than half of consumers are uncomfortable with AI storing payment card details and most would allow AI to spend $0 autonomously (frequent users typically cap autonomous spend at $50 or less). The findings imply AI is established as a decision-layer for research and consideration, while transactions remain under human control, increasing the importance of visibility in AI-generated recommendations and generative engine optimization for marketers.
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