Month: July 2026

See how Scrunch helps brands get cited by ChatGPT, Perplexity, and Claude. Devin Stevens demos AI visibility and generative engine optimization (GEO) for marketers.

Treasure AI’s Intelligent Customer Data Platform unifies customer data, powers AI agents, and activates personalized engagement at scale for consumer brands and enterprises.

ReflexAI CEO Sam Dorison on closing the gap between sales training and real-world performance with AI simulation, fast ROI, and better conversation practice.

The State of AI Risk Management in 2026, a report by Heimdal, based on a survey of 1,000 IT professionals across the United Kingdom and the United States, reveals a significant disconnect between executive confidence and the operational realities faced by security practitioners. This gap highlights urgent priorities for…

The latest announcements tell a story that is more structurally significant than any single headline suggests. Taken together, they reveal that the marketing technology industry is undergoing a decisive shift: the AI model itself is becoming a commodity, and the infrastructure, data, and decisioning layers beneath it are becoming…

Demandbase-defined segments sync into the Audyence cost-per-lead marketplace, so teams launch targeted campaigns up to 43x faster, with no manual steps.

For the better part of two decades, we, as marketing leaders, have been on a relentless quest for the holy grail of personalization. We’ve invested millions in data platforms, segmentation models, and automation engines, all in the service of delivering the right message to the right person at the…

The current sprint to integrate artificial intelligence (AI) into every facet of the customer experience feels less like a marathon and more like a land rush. Every vendor, every platform, and every internal roadmap is screaming “AI-powered personalization.” The promise, as we all know, is a seamless, predictive, and…

Writing in Harvard Business Review, Gaarlandt and colleagues contend that agents shift the balance of power toward brands and away from retailers, because an agent will canvass options a person never would, and they urge brands to pursue what they call AI agent optimization (Gaarlandt et al., 2025). The…

Most of the AI work inside marketing organizations right now generates activity that never reaches the bottom line. Two releases dated July 1, plus two deeper pieces from the past two weeks, explain why, and where leaders are pulling ahead.