Chatbot embeds can help FIs win Gen Zers and millennials where they research their financial questions.

In July 2026, we analyzed 5,630 ChatGPT responses across five automotive categories to compile the AI Visibility Index.

Convincing consumers to download the plugin will be an uphill battle for a traditionally backend brand.

In July 2026, we analyzed 3,210 ChatGPT responses across eight media and entertainment categories to compile the EMARKETER AI Visibility Index.

Reddit’s AI appeal creates a marketing trap: The tactics meant to earn LLM visibility could erode the human content that makes Reddit valuable.

Last November, we identified 11 trends we expected to shape the business landscape in 2026. Our Trends 2026 update reveals where expectations are holding, where surprises have emerged, and what businesses should watch through year-end.

Spending on social remains very strong, thanks largely to automation tools. And with social video continuing to pull in ad dollars, the platforms make a push for live video.

In July 2026, we analyzed 7,460 ChatGPT recommendations across 16 food and beverage categories to compile the EMARKETER AI Visibility Index.

Reddit helps shoppers vet AI advice: Consumers check AI recommendations on Reddit, giving brands purchase influence that clicks may not capture.

AI is transforming Latin America's digital economy, changing how consumers discover products, make purchases, and engage with businesses. Companies that adapt their commerce and customer experience strategies will be better positioned to compete.

In July 2026, we analyzed 14,540 ChatGPT recommendations across 20 apparel and fashion categories to compile the EMARKETER AI Visibility Index.

AI adds to search behavior, doesn’t replace it: Dual SEO and GEO strategies for visibility across fragmented channels is critical for brands.

In July 2026, we analyzed 3,900 ChatGPT recommendations across eight household and cleaning product categories to compile the EMARKETER AI Visibility Index.

Human motivation, not technology, drives AI adoption. Our Building Blocks model helps marketers understand why people use AI, where adoption runs deepest, and where they can reach the right audiences.

Gen Z’s digital world no longer fits into neat categories. Entertainment, commerce, and AI now overlap, while trust is harder to earn. Shifting discovery, media habits, and decision-making are reshaping consumer engagement.

In June 2026, we analyzed 1,140 ChatGPT recommendations across five pet care categories to compile the EMARKETER AI Visibility Index.

"If nobody sees it, it doesn't exist," said David Van Veen, managing director of beauty branding agency MSLK, summing up what may become the defining challenge for beauty brands in the AI era. As consumers lean on ChatGPT and Google's AI Overviews to narrow their options, brands get fewer chances to make an impression. AI doesn't return pages of search results. It surfaces a handful of recommendations, favoring brands that appear most consistently across trusted sources on the web.

"AI can be extremely powerful, but it can also be problematic if you start with that technology," Nick Craig, head of go-to-market at Rokt mParticle, said on a recent episode of "Behind the Numbers." "Start with the use cases, start with the value, then let AI take hold as the enabler to reach it." Downstream AI tools, from creative generation to campaign orchestration, are becoming commoditized and crowded as marketing platforms rush to add AI capabilities. The real competitive advantage lies not in having AI, but in the quality and comprehensiveness of the customer data that trains these AI agents.

GenAI user penetration is high across Asia-Pacific, but every country has its nuances. Government policy, local AI ecosystems, demographics, and digital infrastructure are creating distinct paths to adoption in China, India, Japan, and South Korea.

Marketers create more content with AI, but sameness abounds: Strong signal data and model training are needed to differentiate AI creative.