The news: Adobe released Adobe Brand Visibility (ABV), a tool that measures how often a brand surfaces, recommends content fixes, deploys those changes, then connects the optimizations to “measurable business outcomes,” per Adobe.

The product combines Adobe’s LLM Optimizer with Semrush’s AI Optimization and draws on nearly 300 million real-world AI search prompts across most of the major AI engines, including ChatGPT, Claude, Copilot, DeepSeek, Gemini, and Perplexity. It also breaks out Google’s AI Overviews and AI Mode. Pricing wasn’t available at publication.

Early users are seeing results: Lovesac’s ChatGPT citations jumped 140% versus pre-ABV, and its content visibility increased to 95% from 26%.

Why this matters: AI has become a fast-growing, high-intent commerce channel, and brands are racing to appear in it.

• We forecast that US AI platform-driven ecommerce sales will nearly quadruple YoY to $20.57 billion in 2026.
• Traffic to US retail sites from AI platforms grew 393% YoY in Q1 2026, per Adobe.
• AI-referred traffic converted 42% better than other sources in March.

Brands struggle to control how they appear because AI draws on content they don’t own and can’t always read what they publish.

• One-third of content on the average retail product page can’t be read by large language models (LLMs), per Adobe, often because JavaScript elements don’t render for AI crawlers.
• AI answers lean heavily on third-party sources with user-generated content and reviews, like Reddit, YouTube, and Yelp, over owned sites.

Implications for marketers: Brands need a repeatable way to measure and defend AI visibility across both human and machine audiences, and Adobe is addressing this by targeting AI with AI.

The stakes are rising because conversational AI replaces the endless aisle with a shortlist. Most assistants return only a handful of recommendations, and ChatGPT and Amazon are testing single- and three-answer responses, respectively, making early visibility a top priority.

AI visibility is unstable, though, and tools cannot make it permanent. La Roche-Posay and CeraVe overtook Neutrogena for the top ChatGPT spots in personal care QoQ in Q1 2026, while brand mention rates declined across subcategories, per our AI Visibility Index. Paid ad placements in Google, OpenAI, and Amazon could also crowd out organic mentions.

Marketers should test the major AI engines now to see whether their products surface, how they are described, and whether competitors appear first. From there, rebuild product pages with LLM-readable data that AI can parse, and invest in the reviews and creator content that AI weighs heavily. Falling behind in AI results means lost visibility and sales.