The AI Brand Assistant helps users navigate brand guidelines quickly and easily through a chat-based interface. Instead of searching through documents, you can ask questions, and it will provide answers based on the content in your brand portal. It supports over 100 languages and only shows information based on your access permissions.

It can also assist with content creation — whether you're drafting emails, blog posts, or social media content — by helping refine messaging, check brand compliance, and ensure the correct tone of voice.

For security, the Brand Assistant follows all access restrictions, meaning users only see the information they’re authorized to view. It doesn’t track or store personal data and runs on Azure OpenAI GPT-4o.

Yes, the Brand Assistant can create content using the information in your brand guidelines. It helps users find relevant details and offers feedback. However, always review and verify the content before using it.

The Brand Assistant follows all targets and permissions to ensure users only have answers generated based on content they have access to. This means responses may vary between users based on their permissions and available content. The Brand Assistant is only accessible to logged-in users.

This depends to a large part on the quality of the brand guidelines in question. We constantly monitor the tool’s answers and our users’ feedback to improve the features.

Frontify leverages AI to improve search functionality in multiple ways. AI-powered tagging automatically assigns relevant keywords to assets based on image recognition to ensure they appear in search results — even if they haven’t been manually tagged. A semantic search feature is also in development, and it’s designed to deliver images similar to what users are looking for. Additionally, Frontify’s open API enables integration with other AI tools and enhances capabilities such as video services and caption management.

Yes, Frontify uses AI for automated asset tagging. This includes tagging relevant images based on image recognition and populating metadata fields. The system can automatically extract metadata and import tags/description/copyright/author information if it is embedded into the file's EXIF/IPTC/XMP metadata on upload.

Frontify implements AI-driven search capabilities, including AI tagging based on image recognition. This means that even if an asset hasn't been manually tagged with a certain keyword, the system will have already tagged all relevant images with this keyword, making them appear in the search results. A semantic search that provides images that it believes are similar to what the user is looking for is already being created and will be available to users soon.

AI can be integrated with existing tools like Adobe, CMS, and DAM systems to automate and streamline processes. For instance, AI can be used to add tags and suggest appropriate metadata in a DAM system to make managing digital assets more efficient. AI can also be used in tools like Frontify to automatically generate suggested tags for assets based on their contents. Moreover, AI can be leveraged to automate asset ingestion workflows for new assets by training the model with existing assets and metadata.

Frontify does not currently support in-video search or AI transcription of video content at this time but is dedicated to developing further AI enhancements in the coming months.