Tuesday, September 22, 2026
9 stories · 3 topics · 6 outlets
Answer Engines
3Tools for producing GEO content that AI selects: publish in the sources cited
The article describes a shift from SEO to Generative Engine Optimization, where marketers aim to publish in the sources AI tools cite. It reviews tools for producing GEO content. Marketers should treat getting cited in AI answers as a publishing goal and pick tools that help them land in the sources those answers use.
How To Find The Sources Shaping AI Answers In Your Industry via @sejournal, @hethr_campbell
Trendos' Gintare Rimolaityte explains how to map the sources that AI answers cite in a given industry, engine by engine, and how to spot gaps competitors leave. The method turns that audit into content and outreach priorities. Marketers can use the same mapping to decide which third-party pages to pitch or write for when they want a brand named in AI answers.
Agent-to-Agent Marketing
5Amazon vs Meta: who owns the customer when an agent does the shopping?
Amazon blocked Meta's Muse personal agent from browsing its marketplace and buying for users without identifying itself. Amazon cited account security and terms of use, according to FrenchWeb. The dispute raises the question of who owns the customer when an AI agent shops. Marketers selling through agents should expect platforms to control agent access and identity, and should plan for agent authentication and platform rules.
Agentic Commerce Is Not The Next Voice Shopping, But It Is Still Unproven
The column reviews the agentic commerce documentation published by Visa, Mastercard, PayPal and Stripe and says none of the four names a live merchant, while Google names three. It argues agent checkout is still unproven rather than a repeat of voice shopping. Marketers should treat payment vendors' agentic commerce claims as unverified until a merchant is named, and keep product data agent-readable in the meantime.
AI-native procurement gains ground while supplier data lags
Gartner expects 90% of B2B purchases to run through AI agents by 2028, while 74% of procurement leaders still do not have data ready for them, the article reports. It names Google, Tech Mahindra and Uniphore among the vendors moving fastest into this market. Marketers who sell to businesses should make product, pricing and supplier data machine-readable now, because buying agents cannot shortlist what they cannot parse.
Meta’s AI agent has been blocked from using Amazon.com
Amazon has blocked Meta's Muse agent from using Amazon.com, TechCrunch reports. TechCrunch notes that Amazon runs its own foundation models and inference platform and is under no legal obligation to give Muse access. Marketers selling through shopping agents should expect access to be granted platform by platform, not once and for all.
Google Lighthouse Adds Audit For AI Agent Resource Discovery via @sejournal, @MattGSouthern
Lighthouse 13.5 adds an audit for AI agent resource discovery, and its checks differ from the latest ARD proposal. The audit runs inside a tool many teams already use. Marketers should run it on product and content templates to see whether agents can find the resources a site exposes, and expect the checks to lag the current proposal.