Beth D'Arcy is a content strategist who helps tech brands improve how they're found, cited, and trusted by humans and robots.
Local government advisor turned content strategist.
Hey, I'm Beth! Thanks for stopping by.
I came to content marketing by way of local government. It's a little unconventional, but a decade spent researching complicated problems, advising decision-makers, and translating complex information into actionable ideas was great preparation for a career in content strategy.
For my GovTech and CivTech clients, this is particularly useful, since I've sat on the other side of the table, worked alongside local government leaders, and understand how public-sector buyers make decisions, what they care about, and why reaching them isn't always straightforward.
Today, I help marketing teams maximize their high-value content investments. I figure out what to say, what to create, where to publish, and how to build better systems, so content programs become invaluable to business growth. My systems-thinking approach to content is increasingly extending into CMS strategy, structure content, and content architecture.
I'm also very interested in what happens to marketing as AI changes how people and agents find, evaluate, and use information. I use AI extensively in my own work, and I'm always experimenting with better ways to structure, manage, and operationalize content. You can take a look at some of what I'm building below.
I write about how companies should approach content in the AI era in my newsletter, Stay Citeworthy.
And when I'm not behind a computer, there's a good chance I'm behind an easel or a potter's wheel.
Marketing Tech stack
What I'm building.
I like getting under the hood of content operations, too. I use AI, automation, and content systems to explore better ways to create, structure, manage, and reuse content. Here are a few things I've built and experimented with recently.
Content Architecture & Headless CMS Project
I'm building AI Business Resources, a structured AI resource site for small business owners, as a working environment to experiment with content architecture, content modeling, taxonomy, metadata, governance, headless CMS, AI-powered content operations, and retrieval-ready content. I'm exploring how information can be structured and governed so it can move reliably across CMS platforms, workflows, publishing experiences, and AI systems.
Focus Areas
- Information & content architecture
- Content modeling, taxonomy, and meta data
- Headless CMS platforms
- Content governance & lifecycle
- AI-assisted content operations
- APIs, integrations & content delivery
- AI retrieval & content readiness
Thought Leadership Content Pipeline
An automated workflow that turns a raw voice note into an on-brand written draft, corresponding graphics with Claude Cowork, Canva, Claude Code and Remotion, YouTube scripts, social media captions — and ultimately publishing and distributing content.
This is one of many AI workflows that I've built to support content creation.
Focus Areas
- API vs. MCP, token management
- Claude Skills, skill chaining/skill maxxing
- Brand voice alignment in AI
- Human-in-the-loop requirements for on-brand content workflows
Content Mapping & Analysis Tool
An internal tool I built with Claude Code for client work that turns CMS or website crawl data into a visual map of a site's content. It helps me quickly spot internal-linking gaps, redundant content, and areas where a brand has thin or overlapping coverage. I’m also experimenting with connecting performance and search data so the map can inform content decisions with more than page structure alone.
Focus Areas
- Content inventories and mapping
- Real-time data performance integration and content orchestration loops
- Knowledge graphs