AI Marketing Research: Consumer Trust, Bias & Chatbots

If AI is writing your ads, optimizing your layouts, and running your chatbots — how much of that is actually working the way you think it is? That's the thread running through this week's papers. Five studies poke at the same uncomfortable nerve: the gap between what AI marketing tools promise and how consumers actually respond. In this Research Radar Brief, Dr. Eva Wolf reviews 5 recent AI marketing research papers covering consumer trust in AI-generated content, cultural bias in predictive AI attention tools, customer engagement in AI-driven environments, AI personalization and loyalty, and consumer perception of marketing chatbots. What you'll learn: - Why disclosing AI-generated content can hurt brand trust — and when it matters most - How emotional ads are more vulnerable to AI disclosure backlash than rational, fact-based ads - Why predictive AI attention tools may systematically misread non-Western audiences - What three AI qualities — perceived effectiveness, trust, and continuous learning — appear to drive customer engagement - Why over-personalization is a real risk, and how to set a practical 'creepiness check' - What 100 Indian online shoppers say they actually care about most in marketing chatbots (hint: it's not accuracy) Papers covered: 1. Consumer Trust in AI-Generated Marketing Content: A Systematic Literature Review and Research Agenda Source: Peer-reviewed journal article (American Impact Review, 2026) Access: Open access Link: https://doi.org/10.66308/air.e2026024 2. Algorithmic Influence and Consumer Decision-Making: Empirical Evidence on the Limitations of Predictive AI in Marketing Communication Management Source: Peer-reviewed journal article (Revista de Administração da UFSM, 2026) Access: Check institutional access Link: https://doi.org/10.5902/1983465994997 3. The Dynamics of Customer Engagement Within an AI-Driven Marketing Environment Source: Peer-reviewed journal article (ACADEMIA International Journal for Social Sciences, 2026) Access: Check institutional access Link: https://doi.org/10.63056/academia.5.3(a).2026.1720 4. AI-Driven Marketing Personalization and Customer Loyalty Source: Peer-reviewed journal article (SIJRI, 2026) Access: Check institutional access Link: https://doi.org/10.65579/sijri.2026.v2si1.09 5. A Study on Consumer Perception Towards AI-Based Marketing Chatbots Source: Peer-reviewed journal article (Journal of Advance and Future Research, 2026) Access: Check institutional access Link: https://doi.org/10.56975/jaafr.v4i4.507919 Full show notes, transcript, and citations: https://bigplans.media/episodes/ai-marketing-consumer-trust-predictive-bias-chatbots-personalization-2026-05-16 DISCLAIMER: This is a first-pass research briefing, not a final academic review. Summaries are based on available full text, abstracts, and metadata. Findings reflect what the papers suggest, not settled science. Read the original papers before making strategic or business decisions. Some papers in this episode come from lower-profile venues — apply additional scrutiny to those findings. -- This is a first-pass research briefing, not a final academic review. Read the original papers before making major marketing or business decisions. AI & Marketing Research Radar is produced by BigPlans Media. Subscribe wherever you listen to podcasts.