
The Vertical Citation Audit
Forbes Travel Guide has overtaken Condé Nast Traveler as the dominant retrieval anchor. Four Seasons wins volume. Aman wins exclusivity. AI compresses luxury differentiation below the top five.

Forbes Travel Guide has overtaken Condé Nast Traveler as the dominant retrieval anchor. Four Seasons wins volume. Aman wins exclusivity. AI compresses luxury differentiation below the top five.

25 global luxury fashion brands ranked by composite Citation Share across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. Chanel #1, Louis Vuitton #2, Hermès #3. Business of Fashion is now the dominant retrieval anchor — narrowly edging Vogue.

Luxury reputation became measurable. Citation Share is the new metric. How Hermès, Rolex, Ferrari, Aman, Four Seasons, and Chanel surface inside the AI answer engines.

This article compares Hermes and Claude Code, two AI tools with the same underlying model but different operating philosophies, examining their strengths, weaknesses, and providing a framework for deciding which one is best for specific tasks.

Nous Research is an independent AI lab focused on agent infrastructure, model post-training, and open-weight model work. Their recent Hermes project, a harness for Claude Code, has brought them unexpected attention. This article profiles Nous Research, explains what Hermes does, and explores why the lab is building on top of another company's coding agent.

Following the Hermes/OpenClaw incident, Anthropic issued a public statement acknowledging a bug in third-party harness detection and initiating a refund program. However, this statement left many substantive questions unanswered regarding the underlying mechanisms, scope, and future policies. This article dissects what Anthropic communicated, what was omitted, and the significant issues that remain unresolved.

The third-party Claude Code harness ecosystem — Hermes, OpenClaw, Aider, Cline, Continue, Cursor. Builders, authentication methods, and what each adds to the Anthropic stack.

This article reconstructs the timeline of the OpenClaw/Hermes detection controversy, detailing Anthropic's policy shift, the discovery of unexpected billing charges, and the eventual reproduction of the bug.

An enterprise AI procurement cycle after Hermes is a governance conversation. The capability questions still matter. They no longer differentiate. The questions that differentiate are now about what the platform reads, what it decides, and what happens when it gets the decision wrong. This piece is the operational guide to how that shift changes procurement, what to add to every RFP, and where to push back.

How the four French luxury houses — LVMH, Kering, Hermès, and Chanel — run the most sophisticated communications machine in business, and why they dominate AI engine citations for luxury.