Adobe’s New Optimizer Redefines the Rules of AI Marketing

Adobe made waves at Cannes Lions with the launch of LLM Optimizer, its new tool integrated into Experience Cloud. Its goal is clear: to help brands gain visibility not only in traditional search engines, but also in conversational assistants and AI-powered chatbots.

Being visible on Google is no longer enough. In the new era of marketing, the key is to be the answer chosen by artificial intelligence. But Optimizer goes beyond measurement: it also provides smart, real-time recommendations to improve visibility.

What does this mean for marketing?

This shift completely redefines how we connect with users. Imagine your team receiving alerts when an AI generates responses that mention your products. Or being able to tweak your messaging in real time so that AI selects and recommends it during customer conversations — making your content more relevant and visible.

Personalization is no longer just an ideal — it becomes an automated action, powered by insights. Optimizer analyzes customer behavior, predicts intent, and adapts creatives in seconds. It connects directly with CRM data, user history, and dynamically generated AI content.

 

Three key impacts:

  • Real-time segmentation: Each customer receives the most relevant content for their moment — no static rules or closed segments.

  • Automated A/B testing: Creative variations are tested and optimized autonomously based on predicted performance.

  • Fewer silos, more synchronization: Marketing, sales, and analytics share a single source of data and decisions — connecting strategy with execution.

But this revolution also brings new challenges:
How do we maintain creative and ethical control in such automated processes?
How do we ensure quality, relevance, and brand consistency in every AI-generated response?

The challenge now lies in maintaining human oversight and excellence in increasingly autonomous systems.

The Hike&Foxter Challenge

To truly succeed, we must go beyond classic metrics. At Hike&Foxter, we propose an integrated approach. To stand out in this new era, brands need:

  • AI visibility audits: We analyze whether — and how — your brand appears in AI-generated answers.

  • Prompt and message optimization: We design content built to be selected by AI models.

  • New impact metrics: We track conversational impressions, contextual activations, and AI-generated responses.

At Hike&Foxter, we offer end-to-end implementation: measurement, optimization, CRM integration, and contextual analytics, so your brand doesn't just show up — it gets chosen in the AI era.

Got a specific challenge? Send us your use case and we’ll build a free proof of concept.

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