For Ecommerce

Make Your Products the AI's First Recommendation

AI-driven product searches in retail have grown over 1,300% year-over-year, and ChatGPT now has a dedicated shopping research feature used by millions. When consumers ask "what's the best [product] for me?", AI agents pull from structured data, reviews, and brand authority to generate answers. Stores not optimized for this channel risk significant traffic declines within 18 months.

The Challenge

Common problems ecommerce face with AI visibility

1

AI recommends competitor products, not yours

ChatGPT's shopping research feature now lets users describe exactly what they need -- "best waterproof jacket for Pacific Northwest winters" -- and returns curated product recommendations. AI Overviews appear in the majority of product queries, and zero-click searches account for over half of ecommerce searches. If your product pages lack structured data, comprehensive descriptions, and third-party validation, AI agents will recommend competitors who have them. With Google's Universal Commerce Protocol enabling AI agents to complete purchases on behalf of users, the brand that gets recommended captures the transaction instantly.

2

Product structured data is incomplete or missing

AI agents don't experience your brand the way humans do. They can't respond to visual design, lifestyle photography, or carefully crafted UX. Instead, they evaluate machine-readable data: Product schema, Review markup, Offer pricing, availability, and breadcrumb navigation. Only about 12% of websites implement schema at all, yet LLMs grounded in structured knowledge graphs achieve dramatically higher accuracy in their recommendations. Incomplete or incorrect schema means AI literally cannot understand your products, prices, ratings, and stock status.

3

No way to measure AI-driven purchase intent or revenue

You track Google Shopping, paid social, and organic search with precision. But AI-driven product discovery is a growing blind spot. AI platforms now generate billions of referrals monthly with traffic growing 778% year-over-year, and traffic from AI converts at higher rates than traditional Google search. Without attribution, you cannot measure which products AI recommends, how many sessions originate from AI chatbots, or what revenue this channel generates.

How Ayzeo Helps

Purpose-built tools for ecommerce

Product Category Monitoring

Track prompts like "best running shoes under $150," "top wireless headphones for commuting," or "most reliable espresso machines 2026" across ChatGPT, Claude, Gemini, and Perplexity. See whether your products appear, in what position, and which competitors are recommended alongside you. As generative AI searches in retail categories have increased over 1,300% year-over-year, monitoring these queries is how you understand your share of AI-mediated discovery.

Schema and Structured Data Audit

Validate your Product, Review, Offer, AggregateRating, and Breadcrumb schemas against current best practices. Ayzeo flags missing fields, incorrect markup, and opportunities to add JSON-LD that AI agents prioritize. Comprehensive structured data is the single most actionable technical lever for AI visibility -- it is what makes your catalog machine-readable for ChatGPT shopping research, Google AI Overviews, and the emerging agentic commerce protocols like UCP.

Brand Sentiment Tracking

Understand exactly how AI platforms describe your brand and products. Is the tone positive, neutral, or negative? Are product strengths highlighted or weaknesses amplified? Track sentiment changes over time and across different AI platforms. With AI now mediating the discovery layer before customers ever visit your site, brand perception in AI responses directly impacts consideration and conversion.

AI Traffic to Revenue Attribution

Connect Google Analytics to isolate AI chatbot traffic to your store. Measure sessions, engagement rates, and conversion by AI source. AI referral traffic converts at higher rates than Google search traffic. Attribute actual revenue to AI-driven visits so you can quantify ROI, justify budget, and optimize the product pages AI recommends most.

Frequently Asked Questions

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