Stagwell and Emberos introduced Stagwell Search+, an agentic platform built by Assembly to help brands perform better in AI-driven search, featuring a suite of AI agents that monitor and optimize brand presence across large language models. The system launched after a year of pilots and is already being used in client pitches and scaled across Stagwell’s agency network.
Search+ groups functionality into named agents: Sonar for monitoring LLM appearances, Pilot for outcome prediction and strategy, Flow for workflow coordination, Merchant for SKU-level e-commerce signals and Echo as a governance layer. Emberos supplies the infrastructure and the platform uses fixed workflows to translate insights into concrete content actions like targeted YouTube videos or social assets.
For brands, Search+ ties recommended fixes to predicted and measured lift so teams can prioritize work that impacts discoverability, sentiment and business outcomes; early pilots reported notable visibility gains in AI Overviews. As consumer search habits shift toward AI chat, tools that convert LLM visibility into measurable marketing activity have growing relevance.
Agentic Visibility Agents
Stagwell Search+ by Stagwell and Emberos Officially Launched
Trend Themes
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Agentic Search Optimization — A shift toward agent-based platforms that translate LLM visibility into prioritized, outcome-linked recommendations is enabling measurable improvements in brand discoverability across AI-driven search environments.
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LLM Visibility Monitoring — Real-time tracking of brand appearances and sentiment within large language model outputs is creating new possibilities for continuous reputation and performance measurement beyond traditional SERPs.
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Outcome-linked Content Automation — Fixed workflows that convert monitoring insights into targeted content assets and predicted lift are redefining how marketing activity is planned and attributed to business outcomes.
Industry Implications
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Advertising and Marketing — Marketers are positioned to leverage agentic platforms to quantify the impact of AI-overview placements on audience reach and campaign ROI.
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E-commerce and Retail — SKU-level signal integration from LLMs presents opportunities for dynamic merchandising and discoverability strategies that directly affect conversion and assortment performance.
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Governance and Compliance — Centralized governance layers that surface brand risk and policy alignment across multiple LLMs are becoming critical for maintaining trust and regulatory compliance in AI-mediated customer touchpoints.