Conversational AI

The index finds significant variation in AI-generated answers, highlighting the importance of authoritative sources and continuous measurement of brand visibility.

As AI makes flawless prose and pitch-perfect résumés the default, one founder argues that polish is no longer a signal — and that the messy, contradictory, unfiltered details are what's left to trust.

Most AI vendor evaluations chase ROI projections. Peak International ran a single, real-world test instead — pitting an internal build against an external platform — and it settled the debate no slide deck could.

As AI agents like Alexa for Shopping and Walmart's Sparky curate shortlists rather than search pages, brands need answer-engine optimisation to be seen.

Every system can report success, and the customer still doesn't get help. Why CX leaders need to test the full journey, not just each platform's uptime.

As shoppers ask ChatGPT what to buy before they ever click an ad, marketers are learning that ROAS was never built to capture the moment demand is actually created.

People aren't afraid of autonomous systems. They're afraid of unaccountable ones. The answer isn't less autonomy. It's autonomy that's been earned, says John Kim, CEO of Delight.AI & Sendbird.

The study reveals how brands are mentioned, cited, and represented across AI-powered discovery environments, and why marketers need integrated SEO, content, and brand strategies to compete.

As AI fatigue grows, marketers need less tool accumulation and more role clarity. The smartest AI stack is the one where every tool has a clear job across planning, performance analysis, and campaign execution.

Many enterprise marketers are treating GEO as a content challenge, but success in AI search increasingly depends on execution speed, operational agility, and third-party visibility rather than content volume alone.