Integrations > Google Gemini
| Type | Add On |
| Plan | Premium+ |
| Set-up | Moderate |
Google Gemini integration with Kontainer DAM & PIM
Connect Google Gemini with Kontainer DAM & PIM and bring your digital assets, product information and metadata into Google’s AI ecosystem. Make your company’s own data part of AI-powered search, analysis, content creation and workflows – with Kontainer as a central source of approved content and product data.
Description
Bring your DAM and PIM data into Google’s AI ecosystem
With an integration between Kontainer and Google Gemini, you can make the content and product information your organisation already manages available to AI-powered solutions.
Gemini Enterprise is designed to connect AI with your company’s own data sources. By connecting relevant data from Kontainer, product information, metadata, documents and digital assets can become part of the context that employees can search and work with.
This can make it easier to find information using natural language, analyze and compare product data, identify relevant assets and use existing company data as a foundation for new content.
At the same time, Kontainer remains the central place for managing and maintaining your product information and digital assets.
Benefits
Fra virksomhedens data til brugbar AI
✔ Make your own data searchable with AI
Connect relevant product information, metadata, documents and digital assets from Kontainer with Gemini-powered solutions.
✔ Find information using natural language
Let employees search for products, assets and information without needing to know the exact folder structure, file location or product category.
✔ Give AI company-specific context
Let Gemini work with your own products, data and content instead of relying solely on general model knowledge.
✔ Compare and analyze product information
Use AI to work with structured PIM data across products, categories, variants and specifications.
✔ Create content based on existing data
Use product information and existing content from Kontainer as context for product copy, marketing materials, summaries and other content tasks.
✔ Extend your Google AI ecosystem
Make information from Kontainer useful within your wider Google Cloud and Gemini Enterprise environment.
Features
One connection – many possibilities with Gemini
✔ DAM content as AI context
Make relevant images, videos, documents and other digital assets from Kontainer available for AI-powered search and workflows.
✔ Structured PIM data
Let Gemini-powered solutions work with product names, descriptions, specifications, categories, variants and other structured product information.
✔ Metadata that adds context
Use tags, categories, product relationships and other metadata from Kontainer to give AI a more precise context about your products and assets.
✔ Enterprise search with natural language
Make it easier for employees to search relevant company content and find answers without manually reviewing large amounts of data.
✔ Analysis and content creation
Use existing company and product data as a foundation for comparing information, creating summaries and developing new content.
✔ Custom connectors and MCP
Gemini Enterprise supports external data sources through custom connectors and MCP-based integrations, depending on your setup and use case.
Why connect Gemini with Kontainer?
Let AI work with the information you already have
Companies don’t necessarily need more information to get value from AI. Often, the opportunity lies in making the information they already have easier to find and use.
This is where DAM and PIM play an important role.
Kontainer brings together your approved digital assets, metadata and structured product information. When relevant data is connected with Gemini Enterprise, it can become part of a broader AI-powered search and work experience.
Imagine, for example, an e-commerce employee who needs to find all products within a particular category, compare their specifications and identify the associated product images.
Instead of manually searching, filtering and compiling the information, the employee can use natural language to work with relevant data.
From there, the information can support product analysis, research, product copy, campaigns and other AI-powered workflows.
Use Cases
From product discovery to content creation
- E-commerce
Find and compare product descriptions, specifications, categories, variants and product images using AI. - Marketing
Use approved product data, metadata and brand assets as context for research, campaigns and marketing content creation. - Sales
Gather relevant product information, documentation, images and other materials faster when preparing for customer conversations and sales activities. - Content creation
Use structured product data and existing content as a foundation for product descriptions, summaries, marketing copy and other content tasks. - Digital asset discovery
Find relevant images, documents and other digital assets using natural language, metadata and product relationships. - Product analysis
Compare products and work with information across categories, variants, specifications and other structured PIM data. - Enterprise search
Make information from Kontainer part of a broader AI-powered search experience across relevant company data sources.
Support
Links and Support
Contact Kontainer’s customer service to learn more about the integration between Kontainer DAM and OpenAI.
We are happy to help with setup, training, and best practices.
Please write us at support@kontainer.com
You can read more about AI or just browse our Helpdesk here.
FAQ
Gemini is Google’s family of generative AI models and AI products. Gemini is used across Google’s AI, Workspace and Cloud ecosystem and can work with text, images, documents, data and other types of information.
Gemini Enterprise is Google’s platform for bringing AI into organisational workflows and connecting it with company data. It can work with information from Google services and external data sources through connectors and other integration methods.
An integration can make relevant content and data from Kontainer DAM & PIM available to Gemini-powered enterprise solutions. Depending on the setup, this can include product information, metadata, documents and information about digital assets.
This depends on the integration setup and user permissions. It can include product names, descriptions, specifications, categories, variants and metadata as well as information about images, videos, documents and other digital assets.
An integration can make relevant asset data available for AI-powered search. This can enable users to find content based on metadata, tags, categories, product relationships and natural-language queries. The exact capabilities depend on the integration architecture.
Yes. Relevant structured product information from Kontainer PIM can be made available as context for a Gemini-powered solution. It can support product discovery, comparison, analysis, summarisation and content creation.
Yes. When relevant product data and other content are made available as context, Gemini can be used for product descriptions, marketing copy, summaries and other content tasks based on company information.
Gemini Enterprise supports external data sources through connectors. For data sources without a ready-made connector, custom connectors can be developed to connect Gemini Enterprise with the external system. The specific solution depends on which Kontainer data and capabilities need to be available.
Gemini Enterprise supports integration with custom Model Context Protocol (MCP) servers. MCP can be used to connect AI with external data sources and capabilities made available through the specific integration.
Not exactly. Gemini is the name of Google’s AI models and a range of AI products, while Gemini Enterprise is specifically designed for enterprise use of AI across company data, tools and workflows. This makes Gemini Enterprise particularly relevant when integrating a DAM and PIM platform such as Kontainer.