How AI Shopping Tools Influence Product Discovery and Customer Engagement

Ecommerce Technology

August 31, 2026

9 minute read

Written By: Chris Caesar

How AI Shopping Tools Influence Product Discovery and Customer Engagement

Remember when Google was a shopper’s best friend for product discovery?

These days — with ads on ads, artificial intelligence (AI) snippets that confidently make things up, and results that feel farmed, not found — the search engine can feel more like a pushy salesperson than a definitive source.

Shoppers, meanwhile, are more determined than ever to find a reliable “friend” they can trust when making purchases. Many are even turning to conversational commerce, or shopping that can occur directly in chat interfaces with AI agents.

According to Salsify's “Ecommerce Pulse Report: Q4 2025,” 64% of consumers use AI tools to discover or research products, with the approach particularly popular among younger consumers.

In fact, AI-referred retail traffic is up 393% year over year (YoY), according to analysis by Adobe. But of course, AI’s influence doesn’t end with discovery. The same analysis shows that AI traffic sources have 42% better conversion rates than non-AI traffic.

Additionally, Salsify’s "2026 Holiday Pulse Report" revealed that 51% of shoppers are comfortable with agentic commerce, or AI shopping assistants that automatically find, research, or purchase gifts on their behalf.

And therein lies the challenge for global ecommerce leaders: AI can compress what used to be separate steps of the journey into one decisive moment.

Take a closer look at how these new searches continue to transform product discovery, which tools shoppers are leaning on, and how brands can adapt their content to stay visible in an AI-first world.

AI Is Shortening the Path To Purchase

It’s not just that discovery is faster. Salsify’s consumer research reveals that shoppers are growing more comfortable with offloading the customer journey’s legwork to assistants, chatbots, and other product discovery tools — and trusting them enough to buy on the spot.

Chatbots lead the way: 54% of shoppers say they believe AI shopping tools, like chatbots or gift guides, would improve holiday shopping, according to Salsify research. About 50% have used a general-purpose large language model (LLM), social media agent, or branded agent somewhere in their buying journey in the past 12 months, a 67% increase over last year, according to data from Salesforce.
AI influences real purchases: 22% of shoppers have purchased something after a chatbot or AI assistant recommended it; 8% purchased after using a virtual try-on or placement tool, according to Salsify's "2026 Consumer Research" report.
Shoppers increasingly trust them: Nearly half (46%) of consumers say they trust AI to give more honest advice than their friends, according to Bloomreach.

This means brands’ product pages, reviews, and enhanced content must be AI-readable because that’s what assistants surface to your potential customers.

Ultimately, it won’t matter how good your product is — if assistants can’t parse your pages and reviews or verify your product data, those shoppers won’t even know you exist.

Turning Shopper Signals Into AI Signals

AI assistants don’t just skim content; they synthesize multiple touch points into a single interaction.

Every review, product detail, and comparison chart becomes training data for how your brand shows up for shoppers. The more structured and credible those signals, the more likely assistants are to feature you in their answers.

Social Proof Signals Authority

Nearly a third of shoppers (32%) say ratings and reviews are the single most helpful factor in decision-making, and 63% left one themselves within the last year, according to Salsify research.

If shoppers or agents don’t see reviews — or worse, only see bad reviews — they’ll take it as a sign that your brand is untrustworthy.

Broader Decision Drivers Shape Discovery

While better promotions still matter (55%), reviews (28%), improved product content (22%), and brand values (18%) are critical reasons buyers switch — and could differentiate your offerings from others that are surfaced in an AI query.

Rich Content Trains the Model

According to research by Adobe, there’s an estimated 5x increase in the content needed to keep pace with consumer agentic behaviors.

From comparison charts and lifestyle images to callouts and galleries to structured product detail page (PDP) elements, product schema, product feeds, and more, AI models ingest a variety of data assets when summarizing choices. Brands that provide them give assistants more to work with and a better chance of being presented favorably.

The Markers of Success Have Changed

Keen marketers might notice that these best practices — clear reviews, enriched product content, transparent brand values — are already similar to the kinds of successful strategies ecommerce leaders have leaned on for years.

What’s changed is the stakes: In the past, strong reviews and rich content set you apart. Today, AI assistants treat them as prerequisites.

4 Strategies To Stay Visible in AI-Powered Search

What are some concrete next steps brands can take to account for these shifting trends in product discovery?

1. Emphasize Relevance and EEAT

Success with generative engine optimization and answer engine optimization depends on how consistent and clear your product data is.

Product data has to be relevant, complete, accurate, and emphasize EEAT — experience, expertise, authority, and trustworthiness. Focus on these, and the more visible your brand becomes to AI (and shoppers).

2. Personalization Drives Repeat Buying

Personalized recommendations influence many shoppers to purchase more often, especially millennials (48%) and Gen Zers (53%).

That makes alignment with AI-driven recommendation engines a potential growth lever.

3. Feed the Assistants With Structured Content

Reviews (positive and negative), FAQ-ready answers (e.g., from Reddit your brand.com site), lifestyle images with alt text, and mobile-first PDPs all supply the raw material assistants use to build responses.

4. Community Chatter Is Algorithm Fuel

LLMs lean heavily on user forums; Reddit alone is cited more than 40% of the time, according to Statista. Monitoring user-generated content is as central to brand visibility as optimizing the PDP itself.

Today, success means speaking fluently to both people and machines. Brands that successfully nail that balancing act increase their chances of showing up on the shortlist of options.

The Same Rules Apply — With New Consequences for Product Discovery

It’s clear: AI assistants have already become trusted shopping companions. Campaigns that smartly engage both humans and machines can help you break through the noise.

Just as in the pre-AI years of ecommerce, brands that emphasize clean data, credible reviews, and enriched product details are far better positioned for success than those that don’t.

AI Path to Purchase: The Next 5 Years Starts Now

Learn how AI is transforming how consumers discover and evaluate products, rewriting the rules for content performance.

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Tag(s): Ecommerce Technology Artificial Intelligence

Written by: Chris Caesar

Chris Caesar (he/him) is a professional writer with two decades of experience working with national publications, as well as top software-as-a-service (SaaS) and technology brands. He is passionate about crafting high-quality, lead-generating content that drives awareness and action.