AI News

Search isn’t disappearing, and neither is SEO. What’s changing is where buying decisions are made. As AI assistants increasingly answer questions, compare products, and recommend brands without sending users to websites, marketers need to optimize for influence as much as traffic. Success now depends on whether AI systems can find, trust, and surface your brand […]

This is the third in a three-part series on reducing the cost of AI-powered marketing workflows. Part 1 introduced the problem of token consumption and the case for keeping your context under your control. Part 2 explained the architecture behind that approach. This one walks through installing Hermes Desktop, connecting it to an AI model,

AI is changing what the CMS is expected to do. What used to be a publishing system is becoming the control layer for how brands are discovered, understood, personalized, and transacted across human and machine experiences. The CMS is now where brands provide structured context that AI systems use to discover, understand, validate, and recommend

Performance marketing is under more pressure than it’s been in a decade — budgets are flat or reduced, expectations are rising,, and AI is raising the bar on what “good” looks like. For years, performance marketing has been built on a familiar playbook. When performance plateaus, add another vendor. When targeting weakens, buy another dataset.

The journey of an online customer used to begin in a predictable way, usually starting with a broad query entered into a search engine and ending with a click on one of the top blue links. This predictable journey formed the foundation of the traditional marketing funnel. Today, this familiar pathway is giving way to

Many marketing teams still view AI as just a tool for faster content creation, overlooking its broader potential. The real advantage comes from rethinking how marketing work gets done. When my team adopted three AI agents, we saw tangible results within two months, without changing our entire platform or hiring more people. Each agent took

From Breeze drafting documents and emails to an agentic automation builder that hints at where HubSpot is heading, roughly half of this month’s top updates are AI-related. Still, a few of May’s most welcome changes have nothing to do with Breeze and everything to do with things teams have been requesting for a while. Below

Beyond the backlash lies a bigger issue for marketers: when vendors build AI with customer data, who captures the value? WordPress › Error Source link

In MarTech’s “MarTechBot explains it all” feature, we pose a marketing question to our very own MarTechBot, which is trained on the MarTech website archives and has access to the broader internet. Q: As martech, adtech, and salestech continue to blur into unified ecosystem platforms, how should enterprise architecture leaders evaluate the trade-off between the

(This is the second in a three-part series about Hermes Agent and similar agent harnesses. Part 1 introduced the problem of token caps and the case for owned context. Part 3 will cover getting Hermes Desktop up and running — the setup, skills, and workflows.) Chaining AI tasks together — pulling a Salesforce record, checking