AI-powered search is replacing comparison shopping with direct product recommendations. When consumers ask ChatGPT, Perplexity, or Google AI for the best product in your category, we make sure your brand is the one they recommend.
The way consumers discover and evaluate products is undergoing its most significant transformation since the rise of Google Shopping. AI-powered search collapses the entire comparison funnel into a single recommendation.
of online product research now involves an AI assistant, projected to exceed 35% by 2027
of AI product recommendations convert to a purchase within 48 hours
higher average order value from AI-referred shoppers vs. organic search
When a shopper asks ChatGPT "What's the best noise-canceling headphone under $300 for commuting?" the AI does not return a product listing page. It synthesizes reviews, expert comparisons, brand content, and user sentiment to deliver a curated recommendation, often naming two to four specific products. If your product is not on that shortlist, you are invisible to a growing share of high-intent buyers.
Traditional ecommerce SEO gets your product pages indexed. AI visibility gets your brand recommended by name when it matters most. The brands that understand how AI models make recommendation decisions will win disproportionate share of this new discovery channel.
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A systematic approach to making your products the go-to recommendation across every AI-powered shopping and search platform.
We map how AI models currently perceive your brand and product lines. Using structured prompt testing across ChatGPT, Perplexity, Gemini, and Google AI Overviews, we determine which products are being recommended, which competitors appear instead, and what AI models cite as their reasoning.
We restructure your product content to maximize AI comprehensibility, detailed specification formatting, comparison-ready attribute organization, use-case mapping, and answer-format product descriptions. Plus buying guides and category comparisons that AI models frequently cite.
Product reviews are the single most influential signal in AI recommendations. We develop a review ecosystem strategy that ensures your best products have strong, authentic review signals across every platform AI models monitor, your site, Amazon, YouTube, Reddit, and expert publications.
We implement comprehensive ecommerce structured data (Product, Offer, AggregateRating, Brand, ItemList schema), optimize product feeds for AI Shopping experiences, configure AI-specific crawl access, and align cross-platform product identifiers (GTIN, MPN) for entity resolution.
Your customers are discovering products across multiple AI platforms. ChatGPT is rapidly becoming a go-to product research tool. Perplexity drives citation-heavy product research with direct source links. Google AI Overviews and AI Shopping represent the largest AI commerce surface. Gemini is deeply integrated into Android's mobile ecosystem. Bing Copilot reaches buyers across Microsoft's enterprise surface.
We ensure your products appear and are recommended on every platform where your customers are searching.
We audit how AI platforms currently perceive your products and build the strategy to make you the recommended choice in your category.
Book Your Free Strategy CallChatGPT is rapidly becoming a go-to product research tool. With GPT Search now browsing the web in real time and pulling current pricing and availability data, your product pages need to be optimized for both the model's trained knowledge and its live retrieval capabilities.
Every recommendation includes direct source citations, making Perplexity ideal for product research. When Perplexity recommends your product, it links to the source, driving direct traffic and establishing credibility with shoppers who want to verify recommendations.
Google's AI Overviews and emerging AI Shopping experiences represent the largest AI-powered commerce surface. Products recommended in AI Overviews capture dramatically more attention than organic results below the fold.
Deeply integrated into Android and Google's mobile ecosystem, where a significant share of product discovery happens. Voice search queries and in-app interactions route through Gemini, drawing heavily on Google Shopping data and structured product information.
Embedded across Microsoft Edge, Windows, and Office 365, reaching consumers during workday browsing. Especially valuable for B2B products, technology, and professional-use items where purchase authority is higher in a professional context.
New AI shopping assistants are launching continuously. Our optimization methodology is platform-agnostic, built on the fundamental signals that all AI models use to evaluate and recommend products, ensuring your brand is prepared for whatever comes next.
A comprehensive engagement designed to make your products the AI-recommended choice in your category.
Complete mapping of how AI platforms currently recommend products in your categories. Analysis of which products appear, which competitors dominate, and the specific signals driving AI recommendations in your space.
Restructured product descriptions, specifications, and feature content formatted for AI comprehension. Comparison-ready product data and use-case mapping that helps AI models match your products to consumer queries.
Expert-quality editorial content for each product category, structured to match the comparison and recommendation queries AI platforms prioritize. These become the citation sources AI models reference when recommending products.
Implementation of Product, Offer, AggregateRating, Brand, and ItemList schema. AI Shopping feed optimization for Google and Bing AI commerce experiences. Cross-platform product identifier alignment.
Comprehensive plan to strengthen your product review signals across the platforms AI models monitor: your own site, Amazon, retailer sites, YouTube, Reddit, and expert review publications.
Proprietary monitoring of your product and brand mentions across all major AI platforms. Product-level and category-level tracking with competitor benchmarking and trend analysis.
AI-powered product discovery is still in its early stages. The brands that invest now will build compounding advantages that latecomers cannot easily replicate.
Review ecosystems, brand authority signals, and content depth take time to build. Early movers establish the benchmarks that AI models use to evaluate all future competitors. This is the ecommerce equivalent of where Google Shopping was in 2012: an emerging channel with enormous potential and asymmetric returns for early adopters.
We are seeing significant investment in AI visibility from leading DTC brands, major retailers, and forward-thinking marketplace sellers. The brands that dominate AI product recommendations in the next 12 months will capture outsized market share as AI-assisted shopping goes mainstream. The question is whether your products will be part of the conversation.
AI visibility is the next frontier. Combine it with proven ecommerce strategies for full-funnel growth.
End-to-end ecommerce marketing combining SEO, PPC, email, and CRO under one strategy for maximum growth efficiency.
Learn MoreOrganic search optimization for product pages, category pages, and content marketing that drives compounding ecommerce revenue.
Learn MoreGoogle Shopping, Meta Ads, and retargeting campaigns that deliver immediate revenue while SEO compounds in the background.
Learn MoreHigh-converting store design built on a fast, SEO-friendly technical foundation. The website is the platform your SEO drives traffic to.
Learn MoreSocial commerce, community building, and brand awareness strategies that complement your SEO authority and drive store traffic.
Learn MoreDedicated SEO for Shopify and Shopify Plus stores. We address every platform-specific limitation to maximize your organic visibility.
Learn MoreSchedule a 45-minute call where we analyze your market, audit your current digital presence, and map out a growth strategy. No obligation, no pressure.
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