AI Tools Can Now Write Like You—Here’s How That Changes Everything

As I shared earlier this month in “The New Tools Rewriting the Web,” my return to tech writing has been a real eye-opener as I’ve been exposed to the many new tools capable of taking a single post multi-platform, multi-lingual, and multi-everything.

That post resulted in a few illuminating e-mails including one that drove me to write this follow up, because the fact that modern AI tools are capable of taking one post and re-purposing for many different formats and languages only scratches the surface.

Many content publishers are also using popular tools to generate bulk quantities of content in a programmatic fashion - in a volume well beyond what you expect, and of a quality that would likely surprise - thanks to Model Context Protocol.

A Model Context Protocol, or MCP, is essentially a way for AI models to call external tools in real-time. These are tools that were once behind APIs, browser extensions, or your own memory. Cursor, the popular AI-assisted code editor, has run with this, opening a MCP tools marketplace.

By connecting to external systems through MCP, Cursor can do a heck of a lot more than autocomplete your Python function. Using things like quail-cli, you’ll be able to crawl through your existing writing, scan your knowledge base, and start to stitch together brand new content that actually makes sense.

Not boilerplate nonsense. Not template spam.

We’re talking contextual, referential, deeply connected content - at real scale.

This opens up a lot of possibilities for your domain’s SEO as these MCPs act like an intelligent layer between you and your past work. It can search and summarize your previous articles, extract stylistic and structural patterns, and feed that context directly into Cursor.

So now you’re not just writing with help from AI - you’re writing with a fully context-aware system that knows what you’ve said before, how you said it, and what you probably want to say next.

Picture this: you want to create 100 blog posts, each one targeted to a different long-tail search term based on your SaaS tool’s capabilities.

I’ve been there. That’s a soul-crushing task that’ll ruin your week.

But by using the right MCP, your system can do the legwork - scanning support docs, past blog posts, customer FAQs, whatever quality inputs you have - and draft every single page in your brand’s voice in a few clicks.

And look, I’m not an evangelist for bulk content. If you put garbage in, you’ll get garbage out, and we all know there’s plenty of garbage on the world wide web. And if you try to spam your sitemap with hundreds of garbage posts, Google’s not going to be happy with you. (And neither will your site visitors.)

But if you care about the output - if you’re intentional about what you feed the machine - you might just have the makings of a winning programmatic SEO strategy.

Use your tools to create, not to churn. Give the system real context. Apply editorial oversight. Add proper Schema markup. Build an internal linking structure that makes sense. And publish in a way that respects your audience, not just the crawl budget.

Because at the end of the day, this isn’t about flooding the internet. It’s about scaling what already works - your voice, your expertise, your perspective.

And with the right setup?

That scale can be scary good.