AI Commerce Search: Turn Every Search Into a Sale
We integrate Google’s AI search engine into your online store and optimize your product feeds—that’s how we turn search queries into measurable revenue, all within a secure Google Cloud environment.
How AI-Powered Commerce Search Can Give You a Competitive Edge
Traditional website search relies on exact matches of search terms. When shoppers misspell terms, use colloquial phrasing, or describe a general need, traditional search engines fail—leading to high bounce rates and lost revenue.
Keyword search drives customers away. Intent-driven AI search ensures that they become buyers.
We combine Google’s AI technology for retail with e-dialog’s expertise in tracking and catalog management to maximize your revenue per visitor—securely, scalably, and measurably.
AI-powered commerce search—part of “Gemini Enterprise for Customer Experience”—is fundamentally transforming product search. Powered by Google’s Knowledge Graph and LLMs optimized for e-commerce, it understands intent, context, and user behavior in real time. Since it runs entirely on your private European Google Cloud instance, it transforms every search bar into a personalized conversion engine.
*Vertex AI was the original name of Google’s AI Commerce Search solution.
Traditional Site Search vs. e-dialog AI Commerce Search
| Feature / Business Area | Traditional Onsite Search | With e-dialog & AI Commerce Search |
|---|---|---|
| Search Comprehension | Exact keyword matching; fails with typos, complex search queries, or natural language. | Semantic understanding of natural language, images, and multi-step dialogs. |
| Product Ranking | Static, manual rules or simple popularity metrics. | Dynamic, real-time AI ranking based on individual behavioral signals and conversion goals. |
| Catalog Quality | Requires endless manual tagging and manual synonym lists. | Automated feed enrichment using LLMs to fill in missing attributes and product tags. |
| Merchandising Management | Overriding algorithms often negatively affects search relevance. | A retailer-controlled merchandising console (Boost/Bury, Pinning) that operates within AI safety limits. |
| Data Security | Opaque SaaS platforms with shared data models. | 100% data sovereignty within your secure, GDPR-compliant Google Cloud tenant. |
What AI Commerce Search Does for Your Store: 3 Product Search Modes with AI Commerce Search
One platform. Three modes. Browsing, searching, and conversational trading—all powered by Google’s Knowledge Graphs, web signals, and LLMs optimized for trading, running on your own Google Cloud instance.
Browse & Search: Smarter search that understands the user’s intent
AI-powered commerce search understands natural language, handles spelling errors, and delivers semantically relevant, personalized results that are tailored to products with higher conversion rates. AI-driven rankings and catalog optimizations adapt in real time to each user to maximize revenue per visitor.
Conversational Commerce Agent
Let your customers shop the way they talk. The Conversational Commerce Agent enables multi-step dialogs, voice and image search, and guided product search—right on your website or in your app. Customers describe what they need; the agent finds it.
And no forced chat: An intelligent intent classifier recognizes how each customer shops. Simple, precise search queries continue to yield traditional search results; open-ended, exploratory questions lead to a guided conversation.
Personalized Recommendations
Turn every page visit into a personalized shopping experience. AI Commerce Search’s recommendation feature analyzes behavioral signals in real time and delivers recommendations such as “You might also like,” “Frequently bought together,” and “Current trends”—automatically and at scale.
More Than Just Search: Develop Your Own AI Solutions
AI Commerce Search is a ready-to-use product. If you want to take it a step further—for example, with custom AI agents, media generation, or RAG assistants based on your own data—we’ll develop them on the Gemini Enterprise Agent Platform.
How does e-dialog implement AI-powered product search for you?
Our structured process ensures a quick return on investment and a solution that continues to improve even after implementation.
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01
Workshop & Catalog Audit
We analyze your existing search configuration, the quality of your product feed, and your customers’ search patterns; we identify opportunities for quick success and define key performance indicators (KPIs) before even a single line of code is written.
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02
Catalog Integration & Feed Enrichment
We integrate your product feed, categories, and metadata, and structure and enrich them for Google’s AI models. If any attributes are missing, we use catalog enrichment to automatically fill in the gaps.
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03
Event Tracking & Signals
We implement the behavioral signals that AI Commerce Search uses to personalize and rank results for each individual user in real time.
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04
Configuring Ranking & Merchandising and A/B Testing
We configure boosting rules, filters, synonyms, and A/B tests to tailor the AI-generated results to your merchandising strategy without overriding the personalization logic.
Why e-dialog Is Your Strategic Partner for AI-Powered Search
Expertise in E-Commerce Search
Strategy & Data
Decades of experience in the fields of data science and e-commerce.
Expertise in E-Commerce Search
Expertise on an Equal Footing – Implementing an AI search solution is more than just a technical API integration. It requires well-thought-out tracking strategies, feed quality assurance, and conversion rate optimization to ensure a genuine business ROI.
Proactive Consulting: We continuously review your search logs to identify unmet search intent and gaps in the catalog.
Measurable Results: We demonstrate our success through transparent A/B tests and seamless GA4 tracking integration.
Leading Google Cloud Reseller
Technology & Licensing
Direct access to Google technologies, beta features, and grants.
Leading Google Cloud Reseller
Full data sovereignty – As a certified Google Cloud partner, we implement solutions directly within your own infrastructure. Your data remains your property and is protected by European data protection laws.
Benefits of the Google Partnership: Take advantage of direct support channels, beta access, and potential co-funding from Google for your project.
Scalable architecture: Based on the Google Cloud runtime environment to handle massive traffic spikes (e.g., on Black Friday) without compromising performance.
FAQ: Frequently Asked Questions About AI Commerce Search
How quickly can e-dialog implement AI Commerce Search?
Technical integration is typically completed within a few weeks; a full migration from an existing search engine to a live A/B test usually takes about two to three months, depending on the complexity of your current configuration and the quality of your product data. Our workshop and the initial catalog review will determine the timeline for your specific case.
Does AI Commerce Search work with custom-built e-commerce platforms or with Shopify, SAP Hybris, and Magento?
Yes. AI Commerce Search can be integrated via APIs and works alongside your existing store platform, whether it’s a standard system or a custom solution. Your front end remains unchanged, while Google Cloud provides the search results, catalog structure, and underlying events.
How does e-dialog demonstrate the increase in the conversion rate achieved through AI Search?
We are conducting an A/B test to compare AI Commerce Search with the current search system. We define the KPIs in advance (conversion rate, revenue per visitor, search abandonment rate, “No results found” rate) and transparently measure the impact before fully rolling out the system.
How is data protection (GDPR) handled in Google AI Commerce Search?
Your catalog and behavioral data remain in your own Google Cloud instance. The data is used to personalize and organize results for your customers; it is not used to train models for other companies.
What is the difference between AI Commerce Search and Vertex AI Search for Retail?
It’s the same core product. Yes. Google has renamed the product several times: What began as Retail API and Recommendations AI became Vertex AI Search for Retail, then Vertex AI Search for Commerce, and is now called AI Commerce Search, part of Gemini Enterprise for Customer Experience. Same technology, continuously evolving, updated name.
