Assembly Launches Stagwell Search+ in APAC to Track AI Brand Visibility

Global omnichannel media agency Assembly announced the rollout of Stagwell Search+ across Asia-Pacific on May 14, 2026. The platform addresses a fundamental shift in how consumers discover brands through AI-generated search experiences rather than traditional link-based results.

According to the official press release, 78% of APAC users report weekly usage of AI search tools, positioning the region as a global leader in AI search adoption. This adoption rate creates a critical challenge: AI search experiences increasingly shape brand discovery and consideration before users ever visit a website.

The launch marks a departure from treating search as a standalone channel. Stagwell Search+ operates across paid, owned, earned, and shared media ecosystems where AI-generated answers determine visibility and performance. The fragmented landscape of large language models spanning multiple languages and cultural contexts creates inconsistent brand visibility across the region.

A brand may appear authoritative in one model while remaining invisible or misrepresented in another. This introduces a new and largely unmeasured risk for marketers operating in APAC's complex digital environment (a problem that has plagued users for years, frankly).

Built by Assembly in partnership with emberos, the platform is powered by what the company describes as the industry's first agentic operating system for AI search. The system continuously monitors how brands appear across models and languages while measuring lift from actions across content, media, and digital channels.

Unlike fully automated solutions, Stagwell Search+ is designed to guide human decision-making with AI agents rather than automating changes directly into platforms. This approach helps teams take precise, strategic action while protecting the quality and integrity of brand experiences.

Current integrations include leading global models from OpenAI, Gemini, Perplexity, Grok, and Anthropic. Additional integrations with regional platforms including DeepSeek are planned for later this year.

"AI is already making brand decisions without marketers in the room – and in APAC, that challenge is amplified by language and cultural complexity," said Yi En Chye, VP of Experience and Activation, APAC. "Success is no longer defined by rankings or clicks, but by a brand's ability to secure share of prompt."

The concept of "share of prompt" represents a fundamental rethinking of search marketing. Instead of optimizing for keyword rankings that drive clicks to websites, brands must now optimize for how they appear in AI-generated answers that may never lead to a click at all.

This shift has tangible implications for how marketing teams allocate resources. Traditional SEO budgets focused on backlinks and keyword density may need reallocation toward content strategies that perform better in AI-generated summaries and conversational interfaces.

The physical reality of this change is immediate. Marketers no longer just watch click-through rates on search results pages. They now need to monitor how their brand appears in AI chat interfaces, voice assistants, and other zero-click environments where users get answers without visiting websites.

Independent reporting from Branding in Asia corroborates the scope and timing of the launch, confirming the platform's focus on the APAC market's unique challenges.

The official announcement from Assembly details the technical specifications and partnership structure with emberos.

Whether brands actually pay for this visibility remains the real question. The platform promises control in an environment where AI models make decisions without human oversight, but the effectiveness of any intervention depends on how those models weigh the signals being sent.

The technology exists. The market demand is clear. Whether this translates to measurable ROI for clients is something only time and actual campaign data will reveal.

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn