Monday, November 2, 2026
10 stories · 6 topics · 7 outlets
Search & Platforms
1Research & Data
2Most marketers say AI works. Few can prove it.
A Metric Sherpa study produced with Sprinklr found 92% of organizations with customer-facing AI in regular use said it met or exceeded expectations, but only 27% said they could prove it. Of those who said AI made work faster, 67% also said it cut costs, and only 32% of that group had tracked costs before launch. The study found 99% could name an intended outcome, 26% defined success metrics and 10% recorded a baseline.
16% of shoppers start on ChatGPT, but only 5% buy on the spot
About 16% of shoppers begin product discovery in ChatGPT, while only 5% buy on the spot after an AI recommendation. After an AI recommendation, consumers check reviews, price, delivery and return terms.
Vendor Launches
1Agent-to-Agent Marketing
1Answer Engines
4Where human recall and AI recommendation diverge: choosing strong category entry points
At MarkeZine Day 2026 Autumn, Ryo Taoka of suswork introduced a gap between what people recall and what AI recommends, first made public in joint research with X-Ops. Taoka, who has run more than 100 category entry point studies, also listed 11 pitfalls that can arise before execution.
Why Tohoku Electric Power, well known locally, does not appear in AI search, and why it is working on GEO
Tohoku Electric Power is working on generative engine optimization because the utility, well known in its home region, does not show up in answers from AI search tools. The utility's case is that local recognition does not carry over to AI assistants.
SEO is dead? Not true: how to optimize for AI search before competitors erase you
Search optimization is not dead, but the ground has shifted from traditional engines to AI search, and the shift happened quickly. The advice is to optimize for AI search, including ChatGPT and Google.
Articles that can be summarized lose: the right 7 steps for making content with AI and 2 pieces of advice
Content that can be summarized is a losing proposition, while content built around a distinct point of view has value. The advice is to keep a human expert involved, and large language models are agreeable and without authority.