Observed Signal · Jun 17, 2026 · Product Launch · Source: https://martechseries.com/feed/ · Impact: 3/5 · Sentiment: Positive
DISQO Launches AI Search Lift for AI Discovery
DISQO launched AI Search Lift, an outcomes-measurement product that quantifies the incremental effect of advertising inside large language models (LLMs) and AI-powered search/discovery environments. Built on DISQO’s consumer-consented, panel-based deterministic measurement, the product links verified ad exposure to permissioned consumer behavior and uses exposed/control methodology to measure whether advertising drives brand interactions inside AI discovery. DISQO ran an early beta in Q4 2025 and measured campaigns across five categories (automotive, insurance, beauty & personal care, CPG, and travel). Canvas Worldwide was an early partner. AI Search Lift is available now to DISQO customers and is positioned to complement AEO (answer engine optimization) and GEO (generative engine optimization) strategies by adding an outcomes layer.
Introduces a measurement product that addresses signal loss inside LLM/AI discovery by measuring advertising incrementality—relevant to marketers adapting measurement and AEO/GEO strategies, but from a single AdTech vendor and not a major platform policy change.
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Key Takeaways & Evidence Grounding
- DISQO launched AI Search Lift, a product to measure advertising incrementality in LLMs and AI-powered search.
- AI Search Lift uses DISQO’s consumer-consented, panel-based, deterministic measurement and exposed/control methodology linking verified ad exposure to consumer behavior.
- DISQO released an early beta of AI Search Lift in Q4 2025 and measured campaigns across five categories: automotive, insurance, beauty & personal care, CPG, and travel.
- Canvas Worldwide was an early partner using DISQO’s outcomes measurement for an automotive brand.
- AI Search Lift is available now to DISQO customers.
Connected Companies & Entities
2 Entities mappedOntology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Awin Expands Discovery Intelligence with AI Visibility
Awin announced on 1 July 2026 a set of platform enhancements and a new partnership to measure and improve brand visibility inside AI-driven discovery experiences. The global marketing-technology company revealed a collaboration with ScalePost and additional collaborations with Peec.ai and Profound to capture first-party AI citation data and link those signals to conversion metrics. Awin is launching platform features including “AI Visibility” and “Smart Search” to show when and how brands appear in AI applications, help publishers understand their contribution to discovery, and speed publisher partner selection via natural-language search. The move responds to rising “zero-click” AI answers in search and aims to give advertisers clearer, first-party measurement of AI-driven discovery across the customer journey.
Tradedoubler Launches Emna.ai for AI Search Visibility
Tradedoubler has launched Emna.ai, a platform that measures and helps improve brand visibility within large language model (LLM) search and generative-AI answers. Emna.ai connects to major LLMs to calculate a brand’s AI share of voice, identify cited domains, articles and publishers, surface content gaps, and attribute which assets influence AI answers. Unlike pure SaaS insights tools, Tradedoubler positions Emna.ai as a campaign tool that combines measurement with execution — generating content, activating publishers and tracking impact over time. Early results cited include a skincare GEO campaign that increased a client's AI visibility from under 5% to 30% in under two weeks and moved the brand into the top five in France.
Adobe Launches Brand Visibility for AI Search
Adobe announced Adobe Brand Visibility on June 18, 2026 — a new solution within Adobe CX Enterprise that unifies Semrush’s AI visibility intelligence with Adobe’s agentic content optimization capabilities. The product provides marketers with access to a large dataset of real-world AI search prompts (nearly 300 million), audience reach metrics, competitive share-of-voice and owned-channel insights across AI surfaces such as ChatGPT, Google AI Mode, Microsoft Copilot and Perplexity AI. Adobe Brand Visibility links AI insights to a closed-loop optimization workflow (including Adobe LLM Optimizer and optional integration with Adobe Experience Manager), lets teams deploy updates quickly, and measures impact against business outcomes while leveraging Semrush’s SEO corpus (28.5 billion keywords and 43 trillion backlinks). Adobe positioned the offering as a tool for Generative Engine Optimization to improve brand discoverability and performance in AI-driven discovery channels.
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