{{adobe-brand-intelligence-system}}
Brand intelligence that makes agentic marketing possible.
Every enterprise is racing toward AI-generated content at scale. {{adobe-brand-intelligence-system}} helps ensure content is always unmistakably, uncompromisingly yours — learning your brand continuously, enforcing it automatically and powering AI agents that touch your content supply chain.
A continuously learning, agentic brand intelligence system.
{{brand-intelligence-system}} is built on a structured brand ontology that goes beyond static guidelines. It learns from your design systems, approved assets, briefs and from the signals most systems never capture — reviewer decisions, annotations and feedback accumulated over time. The result is a system that understands your brand the way your most experienced teams do — and applies that knowledge automatically across creative, marketing and brand compliance at any scale.
Explore the innovative skills available in {{brand-intelligence-system}}.
Your brand standard, applied to every asset.
Validate content against more than documented guidelines. {{brand-intelligence-system}} learns from every approval, rejection and annotation your teams make in practise — turning that collective judgement into a structured, continuously updated record of your brand standards that every team and tool can act on consistently.
- Validate brand compliance at any stage of your workflow, reducing review cycles and rework.
- Surface issues rooted in implicit standards that documented guidelines alone don't cover.
- Give teams clear, traceable reasoning behind every brand decision, at any scale.
Instructs smarter creation of production-ready content at scale.
Translate a campaign brief into production-ready assets without the inefficiencies of multiple handoffs, tools and review cycles. {{brand-intelligence-system}} provides deep brand knowledge to interpret briefs, select the right creative elements and instruct to assemble final assets at scale, across whichever surface your team works in.
- Interpret campaign briefs to drive intelligent selection of layouts, images and creative elements.
- Instruct the right elements for production-ready assets, powered by {{brand-intelligence-system}}'s deep understanding of your brand.
- Access {{brand-intelligence-system}}'s instruction capabilities natively within your creative tools of choice (coming soon).
Predict how your brand and marketing will resonate using synthetic audiences. (coming soon)
Simulate how real audience members think and react — at any stage of creative development, from early concepts to finished assets — using personas grounded in your actual customer data.
- Simulate individual audience personas reflecting your customer data, assembled into panels that reflect your real audience distribution.
- Gather qualitative feedback at any stage, including concepts, storyboards, roughcuts or finished assets.
- Get feedback from a virtual focus group on questions related to your brand and marketing messages.
Questions? We have answers.
What is {{adobe-brand-intelligence-system}}?
How is {{adobe-brand-intelligence-system}} different from generic generative AI tools?
Unlike generic generative AI that is highly reliant on prompt expertise to create usable assets and often drifts off-brand due to lack of brand context, {{adobe-brand-intelligence-system}} builds a deep, nuanced understanding of your brand when validating and assembling new content It encodes your brand voice, visual identity, compliance rules, and audience insights into a persistent knowledge layer that can be invoked across apps.
Key differences:
- Brand-specific knowledge graph
- Built-in brand governance AI and compliance checks
What business problems does {{adobe-brand-intelligence-system}} solve for large enterprises?
{{adobe-brand-intelligence-system}} addresses common enterprise challenges such as inconsistent brand execution, slow content production and risk of off-brand or non-compliant assets. By acting as a centralised brand intelligence system, {{brand-intelligence-system}} helps global teams produce on-brand content at scale, maintain brand consistency across channels and automate brand validation across a fragmented content supply chain.
Common enterprise problems solved by {{brand-intelligence-system}}:
- Siloed agencies and teams producing misaligned assets
- Manual brand review bottlenecks slowing campaigns
- Difficulty enforcing brand governance across regions and products
- Limited data on which creative actually performs with key audiences
How does {{adobe-brand-intelligence-system}} keep content on brand and compliant?
{{adobe-brand-intelligence-system}} keeps generative AI on-brand and compliant by using your unique brand ontology, guidelines and compliance rules as guardrails for every creative action. Leveraging the Validate skill, {{brand-intelligence}} checks assets against your brand governance and brand compliance standards before they are published or distributed.
{{brand-intelligence}} can:
- Validate images and copy against brand guidelines
- Flag content that might violate legal, regulatory or IP policies based on trained brand guidance
- Provide AI brand reviewer capabilities in any tool of choice
This gives decision makers confidence that brand-safe generative AI is applied consistently across teams, agencies and channels.
What data is required to train {{adobe-brand-intelligence-system}}?
{{adobe-brand-intelligence-system}} uses both explicit and implicit first-party brand data: brand books, design systems, messaging documents, past campaigns and approved content libraries. It organises this information into a brand knowledge graph and brand ontology, making it accessible to AI agents.
Typical data sources include:
- Brand guidelines, style guides and playbooks
- Approved images, templates and copy
- Campaign briefs and performance data
- Human decision traces, such as commentaries and annotations
How long does it take to deploy {{adobe-brand-intelligence-system}} and what resources do we need?
Deployment timelines for {{adobe-brand-intelligence-system}} depend on the complexity of your brand portfolio, data sources and integrations. Adobe will work with your organisation to test a pilot and scale from there. The key requirement is access to your brand assets, guidelines and systems of record so that the brand intelligence layer can be properly configured.
General steps to activate {{brand-intelligence-system}} include:
- Discovery and scoping of brands, markets and priority use cases
- Ingestion of brand guidelines, assets and core sources
- Configuration of brand ontology and governance rules
- Integration with key workflows like GenStudio, DAM and Workfront
- On-going ingestion of input and performance to further optimise {{brand-intelligence-system}} performance
This process typically involves marketing leadership, brand governance, creative operations and IT for integrations and security approvals.
Is {{adobe-brand-intelligence-system}} right for my organisation and how do we get started?
{{adobe-brand-intelligence-system}} is best suited for large, multi-brand or multi-market enterprises that need to manage brand governance and on-brand content at scale. {{brand-intelligence-system}} is especially valuable if your organisation navigates many agencies and teams, complex compliance requirements and a high volume of content that must stay on-brand across channels.
{{brand-intelligence-system}} is a fit if:
- Brand consistency is a strategic priority
- You are looking to speed up workflows with generative AI for marketing and creative work
- You manage multiple brands, markets or regulated product lines
- You want to connect brand intelligence across both Adobe and non-Adobe tools
To get started, fill in the form to be contacted by the Adobe account team. Adobe will help to define priority use cases and design an implementation plan that connects {{brand-intelligence-system}} to your content supply chain and marketing tech stack.
Let us show you the full power of {{brand-intelligence-system}}
