AI
Agencies are pitching agentic AI migrations at half the cost and double the speed. The math doesn't work, the research doesn't support it, and the cleanup work is starting to pile up.
GEO guides focus on writing tactics. But the real leverage is in your architecture. If your CMS stores content as page-shaped HTML blobs, AI struggle sto extract, cite, and recommend your brand.
Every CMS vendor claims to be "agentic." Most aren't. Here's a framework for distinguishing genuine autonomous content operations from AI features with a new label
A CMS was invented to let non-technical people put content into a database and display it on a website. AI tools do the same thing, with any data store, through conversation. AI is your CMS
Every DXP vendor is racing to ship AI features. The ones building walled gardens are solving the wrong problem. The winners will embrace Composable AI and leave the door open for whatever comes next.
You vibe-coded your way to a working prototype. Now you need to cross the invisible gap between 'it works on my machine' and 'real users rely on this every day.'
How we use Claude and Sanity CMS to continuously audit, research, and refresh our technical content turning content maintenance into an intelligent background process with human review.
What used to be forgotten ideas and half-typed emails to myself is now a published blog before my first sip of coffee. Our engineering team turned my 15-minute commute into a content pipeline.
The marketing team and the IT team are not asking the same question about SitecoreAI vs Sitecore XP. Here's how each perspective leads to a clear recommendation.
Content teams invest in production but neglect protection. Without both, your library becomes a bathtub with the drain open.
How do you keep track of old, irrelevant, aging content on your CMS Platform? We automated ours.
The problem with most AI content isn't the writing quality. It's the absence of real research. A research-first pipeline changes everything.
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