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  1. Home
  2. /
  3. Vertex AI Search for commerce
Logo of Vertex AI Search for commerce

Vertex AI Search for commerce

byGoogle
in Search and Product Discovery
4.3

Overview

Product Information on Vertex AI Search for commerce

Updated 13th October 2025

What is Vertex AI Search for commerce?

Vertex AI Search for commerce is a software designed to enhance product search and discovery within digital commerce platforms. It utilizes machine learning to interpret user queries and deliver relevant product results by understanding contextual and semantic meanings behind searches. The software enables personalized recommendations, advanced filtering, and product categorization, aiming to streamline the shopping experience and facilitate efficient navigation through extensive catalogs. Vertex AI Search for commerce integrates with existing e commerce systems and supports product catalog indexing, real time search ranking, and analytics to help businesses identify trending products and optimize inventory management. This software contributes to addressing common challenges in e commerce search, such as misspellings, synonyms, and ambiguous terms, and supports multiple languages to accommodate a global user base.

Vertex AI Search for commerce Pricing

Vertex AI Search for commerce is a software that provides pricing based on usage, typically measured by the number of queries or documents processed. The software operates on a pay-as-you-go model, with charges accruing according to the volume of data or service interactions. There is no flat fee structure, and pricing may vary depending on selected features and the scale of usage.

Overall experience with Vertex AI Search for commerce

SOFTWARE DEVELOPMENT MANAGER
<50M USD, Software
FAVORABLE

“Vertex AI Search Handles Complex Data Well But Faces Cost and Documentation Issues”

4.0
Nov 5, 2025
Google Vertex AI Search allows us to easily build a robust, AI powered search that effectively handles unstructured data across diverse data sources, such as websites, PDFs, or images. The integration with Google Cloud is also great and makes it a natural choice for those already invested in GCP infrastructure.
AI SPECALIST
250M - 500M USD, Services (non-Government)
CRITICAL

“Vertex AI Reduces Search Time but Customization and Integration Need Improvement”

3.0
Oct 27, 2025
Vertex AI has helped reduce search time in market research and understanding market trends internally.

About Company

Company Description

Updated 25th July 2024

Googlers is a company that creates products intended to create opportunities for an extensive audience, regardless of their location across the globe. The company values diverse perspectives, imaginations and non-conformity to predefined norms and impossibilities. The goal is to build products while incorporating uniqueness of each individual involved in this process, aiming to make their products accessible and useful to all.

Company Details

Updated 11th November 2024
Company type
Public
Year Founded
1998
Head office location
Mountain View, CA, United States
Annual Revenue
30B+ USD
Website
www.google.com

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Key Insights

A Snapshot of What Matters - Based on Validated User Reviews

User Sentiment About Vertex AI Search for commerce
Reviewer Insights for: Vertex AI Search for commerce
Deciding Factors: Vertex AI Search for commerce Vs. Market Average
Performance of Vertex AI Search for commerce Across Market Features

Vertex AI Search for commerce Likes & Dislikes

Like

Advanced AI Capabilities: Using Google's excellent technology, its understanding and semantic search is state of the art and provides highly relevant results even for complex queries. Multi-modal search: Wide support for searching across content types including documents, websites, images, structured and unstructured data. Scalability: Handles large volumes of data efficiently Integration with Google Cloud: great integration with GCP services, such as BigQuery, Cloud Storage, etc.

Like

IT is trusted being backed by google, we can believe in the product and service.

Like

As referenced above, the ability we have to seamlessly and positively affect customer behaviour to help drive conversions and revenue has been game-changing for our business. The ease and speed with which we went from initial pitch to go-live was excellent, and unexpected for something so in-depth.

Dislike

Steep Learning Curve: Requires significant technical expertise to get up and started and to optimize. Cost: Can become expensive at scale, especially with high query volumes. Requires careful monitoring. Limited documentation: Google has never had great documentation and this is no exception, especially for advanced use cases.

Dislike

I think customization for user experience could be better. I would like better display settings in how well it integrates to other system settings. I would like better communication for troubleshooting.

Dislike

The scalability of this is a concern, as it suits a smaller site like ours, however with a larger site with hundreds or thousands of products, I can see a world where the 'product-pairing' and it's other features get very convoluted. The initial navigation of the platform also takes a bit of getting used to, but this could partially be put down to my relative inexperience working with platforms of this nature.

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Peer Discussions

Vertex AI Search for commerce Reviews and Ratings

4.3

(72 Ratings)

Rating Distribution

5 Star
39%
4 Star
51%
3 Star
10%
2 Star
0%
1 Star
0%
Why ratings and reviews count differ?

Customer Experience

Evaluation & Contracting

4.3

Integration & Deployment

4.4

Service & Support

4.3

Product Capabilities

4.6

Filter Reviews
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  • SOFTWARE DEVELOPMENT MANAGER
    <50M USD
    Software
    Review Source

    Vertex AI Search Handles Complex Data Well But Faces Cost and Documentation Issues

    4.0
    Nov 5, 2025
    Google Vertex AI Search allows us to easily build a robust, AI powered search that effectively handles unstructured data across diverse data sources, such as websites, PDFs, or images. The integration with Google Cloud is also great and makes it a natural choice for those already invested in GCP infrastructure.
  • PARTNER SUCCESS MANAGER
    <50M USD
    Banking
    Review Source

    Large Upselling Opportunity and Fast Setup Highlight Product’s Business Impact

    4.0
    Sep 19, 2025
    This product has greatly helped our business due to its large upselling opportunity and optimal searching capabilities on our websites.
  • Sales Manager
    50M-1B USD
    Finance (non-banking)
    Review Source

    Unified Environment Accelerates AI Development While Potential Costs Remain A Concern

    4.0
    Feb 3, 2026
    Vertex makes building, training, deploying, and scaling models significantly easier than stitching together separate tools. It’s especially strong for teams already in Google Cloud who want enterprise-grade AI workflows
  • SENIOR PRINCIPAL ENGINEER - FULL STACK
    1B-10B USD
    Banking
    Review Source

    Vertex AI; Fast; Flexible GenAI with enterprise guardrails

    4.0
    Sep 8, 2025
    Vertex AI lets us ship real GenAI use cases quickly without having to build our own MLOps stack. A mix of first-party and open-source models, plus managed evaluation/monitoring, made pilots fast and governance-friendly. We used it for knowledge retrieval and contact-center summarization; the quality was strong once we grounded the answers in our content and added human review. The learning curve is reasonable, but security/IAM and VPC setup requires upfront discipline. Costs are fair when you right-size models and enforce quotas, but can drift without guardrails. Overall: an enterprise-ready platform that is fast, controlled and scalable.
  • CLIENT SERVICE SPECIALIST
    50M-1B USD
    Banking
    Review Source

    Vertex AI Offers Helpful Suggestions But Suffers From Redundant Product Pairings

    4.0
    Sep 8, 2025
    I utilized Vertex AI when purchasing an item for my home on a large home improvement website. The app experience was impressive, as the suggestions I received when searching for an item not only took into account the features I was searching for, but also recommended items I would need to complete the project. The additional items suggested felt cohesive with the item I was already purchasing.
...
Showing Result 1-5 of 81

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Gartner Peer Insights content consists of the opinions of individual end users based on their own experiences, and should not be construed as statements of fact, nor do they represent the views of Gartner or its affiliates. Gartner does not endorse any vendor, product or service depicted in this content nor makes any warranties, expressed or implied, with respect to this content, about its accuracy or completeness, including any warranties of merchantability or fitness for a particular purpose.

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