Observed Signal · Jun 16, 2026 · Research Report · Source: Adzine · Impact: 3/5 · Sentiment: Positive
AI Recommendations Become New Commerce Media Battleground
Adtech firm Koddi commissioned a study (March–April 2026) by research agency The Human Instinct surveying 750 consumers and 150 senior commerce-media professionals across Germany, the US and the UK about the rise of agentic AI in shopping. Findings show consumers are open to AI support for research but reluctant to fully hand over purchase decisions; comfort with AI assistance is 59% in Germany, 75% in the US and 68% in the UK. On the industry side, many companies are already using or exploring AI agents (32% in Germany; 70% in the US) and 84% of commerce-media decision‑makers globally would invest to increase visibility in AI-generated answers or shortlists. Measurement and attribution are highlighted as critical constraints, with ~92% globally (88% Germany) planning spending on agent-specific measurement. The report also names Generative Engine Optimization (GEO) as an emerging discipline.
Signals a shift in commerce media toward visibility inside AI-agent decision flows (shortlists/answers), highlights high industry willingness to invest in AI visibility and agent-specific measurement, and raises attribution and transparency challenges relevant to retailers, brands and adtech vendors.
Track Koddi Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Key Takeaways & Evidence Grounding
- Koddi published a report titled 'The State of Agentic Commerce (Media): How Agentic AI is Reshaping Control, Value and Monetization'.
- The study surveyed 750 consumers and 150 senior commerce-media professionals in Germany, the USA and the UK during March–April 2026; research executed by The Human Instinct for Koddi.
- Comfort with AI assistance for purchase decisions: Germany 59%, USA 75%, UK 68%; 56% of German consumers currently do not plan to transfer purchase decisions to AI agents.
- Company adoption: 32% of German commerce-media respondents already use AI agents (70% in the USA); 84% of commerce-media decision‑makers worldwide would invest to increase visibility in AI-generated answers/shortlists.
- Measurement is a major concern: 92% of global decision‑makers (88% in Germany) plan to spend on agent-specific measurement; attribution is cited as a scaling barrier.
Connected Companies & Entities
1 Entity mappedOntology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
Germans Fear Paid AI Recommendations in E‑Commerce
A survey by Kernpunkt and commercetools finds that German consumers are generally open to AI assistance when shopping online but worry that AI tools could display preferential or paid product recommendations. The article (Horizont, 2026-07-20) outlines consumer trust challenges, mentions chatbots and agentic AI as reshaping e-commerce, and discusses how brands can earn trust and which factors influence purchase decisions.
AI in Media Buying: Expectations Outpace Experience
A new IAB Europe study reveals that while 58% of industry professionals expect agentic ad buying to become mainstream within a year, actual adoption lags significantly. Of 47 respondents, 36 have either not yet deployed agentic systems or use technologies where humans still control planning and execution. The 'Impact of AI on Digital Advertising Report 2026', based on 50 interviews, shows that AI is widely used for reporting and campaign analysis (86% overall), but only 11 out of 29 detailed respondents use it for agentic buying and selling. A complementary survey by StackAdapt (500 marketers, 6 countries) found similar patterns, with half citing fragmented data pipelines as a barrier. Companies are cautious about granting full autonomy, with most preferring human-in-the-loop models. The average performance rating for AI in operational advertising was only 2.76 out of 5. The industry is still defining governance, training, and integration practices to bridge the gap between expectations and real-world experience.
AI Becomes Our Shopping Adviser
The article examines how generative AI and chat assistants have shifted product discovery from a menu of options to a single recommended answer, changing who does the deliberation work in shopping. Surveys cited (Clutch, Klaviyo, Riskified) show widespread consumer use of AI for product research and notable shares acting on recommendations. Major platforms and retailers are moving toward "agentic" commerce: OpenAI experimented with checkout and began showing labelled sponsored messages in early 2026; Amazon’s assistant narrows choices and can now buy under set rules; Google announced a commerce standard at NRF with retailers and payment firms. The piece highlights emerging practices such as Generative Engine Optimization (GEO) / Answer Engine Optimization (AEO), growing sponsored placements inside chat replies, trust issues (automation bias, mixed survey trust), and broader market effects including concentration of spend around the names AI surfaces.
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.