Home

>

Blog

>

Blog post

Ally AI

The AI discovery revolution: How GenAI is rewriting the rules of product search

From ChatGPT to Gemini, from Rufus to Sparky, conversational AI is fundamentally transforming how consumers discover and research products online. The age of typing keywords into search boxes is evolving into natural conversations with AI assistants. Here's what we know so far about how this is impacting the purchase process.

The hidden shift in shopping behavior

Consumers increasingly start product research with conversational questions rather than keywords. The evidence is striking: studies show as much as a 60% of searches leading to zero-clicks as users get answers directly from AI summaries, with Gartner predicting a 25% decline in traditional search volume by 2026.

Here's what's fascinating: AEO search typically operates higher in the purchase funnel, before shoppers even know they need a specific product. According to recent eMarketer analysis, while only 2% of ChatGPT prompts are specifically product-related, 34% of non-shopping conversations still result in product recommendations. You're reaching people who don't yet know they're in-market.

AI assistants now provide curated recommendations instead of overwhelming search result pages. Shopping journeys compress as AI synthesizes information from multiple sources instantly. Trust has shifted from scanning reviews manually to relying on AI's interpretation of collective feedback.

This behavioral shift demands a complete rethinking of how brands approach product discovery.

The new AI-powered shopper journey – Understanding the challenge

Forget everything you know about how shoppers find products. The traditional journey through awareness, consideration, purchase, and post-purchase? AI just compressed it into a single conversation.

Awareness: The invisible battle
Today's shoppers are having full conversations with AI, yet they get only 3-5 personalized recommendations instantly. Here's the kicker: 50% of AI prompts are just information requests, but as stated previously, you're still competing for product visibility before shoppers even realize they're shopping.

Consideration: The 10-second decision
Remember comparing products across multiple tabs? AI eliminates that, synthesizing thousands of data points and explaining exactly why one product fits better. Your product descriptions aren't being read by humans anymore; they're interpreted by machines that decide if you're worth recommending.

Purchase: The vanishing checkout
Features like "Shop with Rufus" let customers buy directly within their AI conversation. No clicking through, no cart to abandon. Once AI makes its recommendation, there's no second chance. The decision is already made.

Post-Purchase: The instant impact
Customer feedback used to trickle in weekly. Now AI ingests reviews in real time, immediately adjusting future recommendations. One formula change that disappoints customers, one surge in negative reviews, and you invisibly drop from AI recommendations overnight. The feedback loop that took weeks now happens in seconds.

The 9 Essential moves for AI discovery success

After analyzing how 2,200+ brands are adapting to AI-powered discovery, we've identified 9 critical principles that separate those thriving from those becoming invisible:

The quick preview:

  1. Be AI-visible – Complete product data and schema markup are now non-negotiable
  2. Go beyond titles – Detailed attributes matter more than keyword-optimized headers
  3. Think like a shopper – Write for conversations, not search algorithms
  4. Leverage social proof – Reviews are now AI authority signals
  5. Focus on conversational SEO – Natural language beats keyword stuffing
  6. Redefine visibility – Paid and organic blur into unified recommendations
  7. Create smarter ads – Highlight meaningful differentiators AI can understand
  8. Integrate incrementality data – Measure true iROAS across all touchpoints
  9. Partner with retailers – Ensure inclusion in both open and closed AI ecosystems

These aren't just tactics - they are fundamental shifts in how commerce works. CommerceIQ's unified platform operationalizes all nine principles, helping brands from Bayer to PepsiCo stay visible and profitable.

Get the Complete AEO Playbook → Download our whitepaper

With a background in product marketing and sales enablement, Daniel has five years of experience working with B2B, SaaS, tech, and ecommerce companies, transforming data into stories that drive strategy. Beyond the office, he’s an avid traveler and a strategist at heart, whether exploring new places or testing his luck as a semi-professional gambler.

LinkedIn

Turn insights into impact with CommerceIQ

1450+

retailers

100+

mobile apps

59

countries

250+

engineers and
data scientists

Turn insights into impact with CommerceIQ

CommerceIQ is the only sales-focused, unified platform built specifically for ecommerce—combining sales, media and shelf data with role-specific AI teammates that deliver actionable, commerce-ready insights.