How Firefly Graph works

Firefly Graph lets users build creative workflows by connecting visual nodes in a directed graph. Each node performs a specific generative or editing action — text-to-image generation, style transfer, image editing, or asset resizing — and passes its output to the next node . The node library includes 250+ multimodal nodes spanning Adobe's own Firefly models (Image, Vector, Design) and leading partner AI models, alongside professional editing tools from across Creative Cloud .

Key capabilities and integrations:

• Visual workflow designer — drag, connect, and sequence nodes into repeatable, modular pipelines
• Reusable assets — workflows can be saved, refined, shared, and re-run across teams
• Enterprise admin controls — permissions, role management, and deployment governance
• 300+ generative actions — supports multi-model orchestration including third-party AI models
• Creative Cloud integration — outputs flow into Photoshop, Illustrator, Premiere Pro, Express, and other Adobe apps for further editing
• Firefly AI Assistant compatibility — the conversational orchestration layer (launched at Summit 2026) can execute Graph workflows via natural language commands

How Adobe Brand Visibility works

Adobe Brand Visibility (ABV) fuses Semrush's AI visibility data (sourced from nearly 300 million real-world LLM prompts) with Adobe's LLM Optimizer — an agentic content optimization engine — into a single dashboard .

Key capabilities and integrations:

• AI search monitoring — tracks how often and in what context a brand appears across AI-generated answers from ChatGPT, Gemini, Perplexity, Google AI Mode, Microsoft Copilot, and similar platforms
• Prioritized optimization recommendations — identifies specific content gaps and ranks fixes by impact
• No-code deployment — marketers can push content improvements directly without engineering support
• Measurable outcomes — links visibility changes to business metrics like traffic, engagement, and conversions
• Semrush integration — draws on Semrush's Brand Visibility Framework and agentic search optimization methodology
• Experience Cloud ecosystem — built to connect with Adobe's broader marketing and content supply chain tools

Strategic significance

These two launches reflect a coherent strategy: Adobe is embedding generative AI as the connective tissue between creative production and marketing execution.

• From point features to platform orchestration. Early Firefly releases (2023–2025) added generative AI as features inside individual apps. Firefly Graph treats AI as a programmable, composable layer that orchestrates models, editing tools, and steps into automated pipelines . This is a platform play, not a feature play.
• Closing the content-to-market loop. Brand Visibility addresses what happens after content is created — ensuring AI search engines actually surface and cite the brand. This connects the creative supply chain (Firefly Graph) directly to marketing performance (ABV), making AI-generated content measurable against business outcomes .
• Agentic AI as the unifying paradigm. Both products are designed for agentic workflows: Firefly Graph enables autonomous multi-step creative sequences, while ABV uses agentic content optimization to continuously monitor and adjust brand presence . The Firefly AI Assistant can trigger Graph workflows by natural language, creating a seamless "ask → create → optimize → measure" loop .
• Data moat through Semrush. Acquiring Semrush's AI visibility intelligence (300M+ prompt signals) gives Adobe a defensible data advantage in understanding how LLMs perceive brands — data that feeds back into content strategy and creative briefs . Adobe completed its acquisition of Semrush in April 2026 .
• Commerce-safe foundation. All Firefly models remain trained on licensed Stock images, open content, and public domain works, with copyright indemnification for enterprise customers — lowering the legal risk that still constrains competitors' enterprise adoption .

How Firefly Graph works

Firefly Graph lets users build creative workflows by connecting visual nodes in a directed graph. Each node performs a specific generative or editing action — text-to-image generation, style transfer, image editing, or asset resizing — and passes its output to the next node . The node library includes 250+ multimodal nodes spanning Adobe's own Firefly models (Image, Vector, Design) and leading partner AI models, alongside professional editing tools from across Creative Cloud .

Key capabilities and integrations:

• Visual workflow designer — drag, connect, and sequence nodes into repeatable, modular pipelines
• Reusable assets — workflows can be saved, refined, shared, and re-run across teams
• Enterprise admin controls — permissions, role management, and deployment governance
• 300+ generative actions — supports multi-model orchestration including third-party AI models
• Creative Cloud integration — outputs flow into Photoshop, Illustrator, Premiere Pro, Express, and other Adobe apps for further editing
• Firefly AI Assistant compatibility — the conversational orchestration layer (launched at Summit 2026) can execute Graph workflows via natural language commands

How Adobe Brand Visibility works

Adobe Brand Visibility (ABV) fuses Semrush's AI visibility data (sourced from nearly 300 million real-world LLM prompts) with Adobe's LLM Optimizer — an agentic content optimization engine — into a single dashboard .

Key capabilities and integrations:

• AI search monitoring — tracks how often and in what context a brand appears across AI-generated answers from ChatGPT, Gemini, Perplexity, Google AI Mode, Microsoft Copilot, and similar platforms
• Prioritized optimization recommendations — identifies specific content gaps and ranks fixes by impact
• No-code deployment — marketers can push content improvements directly without engineering support
• Measurable outcomes — links visibility changes to business metrics like traffic, engagement, and conversions
• Semrush integration — draws on Semrush's Brand Visibility Framework and agentic search optimization methodology
• Experience Cloud ecosystem — built to connect with Adobe's broader marketing and content supply chain tools

Strategic significance

These two launches reflect a coherent strategy: Adobe is embedding generative AI as the connective tissue between creative production and marketing execution.

• From point features to platform orchestration. Early Firefly releases (2023–2025) added generative AI as features inside individual apps. Firefly Graph treats AI as a programmable, composable layer that orchestrates models, editing tools, and steps into automated pipelines . This is a platform play, not a feature play.
• Closing the content-to-market loop. Brand Visibility addresses what happens after content is created — ensuring AI search engines actually surface and cite the brand. This connects the creative supply chain (Firefly Graph) directly to marketing performance (ABV), making AI-generated content measurable against business outcomes .
• Agentic AI as the unifying paradigm. Both products are designed for agentic workflows: Firefly Graph enables autonomous multi-step creative sequences, while ABV uses agentic content optimization to continuously monitor and adjust brand presence . The Firefly AI Assistant can trigger Graph workflows by natural language, creating a seamless "ask → create → optimize → measure" loop .
• Data moat through Semrush. Acquiring Semrush's AI visibility intelligence (300M+ prompt signals) gives Adobe a defensible data advantage in understanding how LLMs perceive brands — data that feeds back into content strategy and creative briefs . Adobe completed its acquisition of Semrush in April 2026 .
• Commerce-safe foundation. All Firefly models remain trained on licensed Stock images, open content, and public domain works, with copyright indemnification for enterprise customers — lowering the legal risk that still constrains competitors' enterprise adoption .