One
Connect a data source
Point EsyBlog at a Google Sheet, a Postgres read replica, a REST endpoint, or a flat CSV. We handle schema inference and let you preview what the engine sees before you spend a dime.
Content Engine · Est. 2024
One dataset.
A thousand articles.
Still sounds human.
The content engine for serious SEO teams. Feed it a spreadsheet, a database, or an API. Finished articles land in your CMS the same afternoon, in a voice that reads like it was written by a person who actually liked the assignment.
Brooklyn, NY · Vol. II · Issue 04
A note from the editors
Most “AI content” tools produce sludge you’d never publish. We built the opposite.
For two years we watched content teams buy subscription after subscription to AI writers that promised the moon and shipped paragraphs of recycled, over-optimized slop. Every output needed a full rewrite. Every template read like a press release that had been microwaved twice. The tools saved no time. They just moved the work around.
EsyBlog started as a reaction. A few former editors and research engineers sat down and asked a simple question. What would an AI content engine look like if it was built by people who actually cared about the prose? Not the word count. Not the keyword density. The sentences themselves. The rhythm. The lift between paragraphs.
This is what we made. It is opinionated. It is quiet where other tools are loud. It reads your data instead of hallucinating around it. And it refuses to ship anything that would embarrass the person whose byline sits on top.
We built the tool we wished existed when we were running
content desks ourselves.
The engine
Six moving parts. One printing press.
EsyBlog is not a wrapper around a chat box. It is a full pipeline from raw data to published page, and every stage is built for editorial output.
- 01
Connect your data
CSV, Google Sheets, Airtable, Postgres, MySQL, REST APIs, Shopify, Notion. Anything you can query becomes article fuel. We meet your data where it already lives. No re-platforming. No spreadsheets re-uploaded every Tuesday.
- 02
Write templates once
Jinja-style templates with variables, conditionals, and inline AI prompts. Every template is version-controlled and A/B testable, so your best-performing brief becomes the foundation for the next thousand articles.
- 03
A narrative engine that reads
Our model is fine-tuned on licensed editorial prose: essays, long features, trade journalism. Not the usual soup of scraped marketing copy. The result is text that sounds like a competent human wrote it on a good day.
- 04
Visuals that belong
Charts, comparison tables, and hero images are generated from your own data, matched to the editorial tone, and laid out to breathe. No generic stock. No AI collages. Everything you ship looks like it belongs in the piece.
- 05
Publish everywhere
Direct integrations with WordPress, Ghost, Webflow, Sanity, Contentful, and Shopify. If your stack is bespoke, export raw JSON or Markdown and pipe it wherever you want. Your content lives on your side of the fence. We do not host it for you.
- 06
Quality gatekeeper
Every article is scored for reading level, fact density, plagiarism against 60 billion pages, and AI-detection likelihood. If a draft will not hold up in front of a human editor, it does not ship. You set the bar. We enforce it.
The method
How it works, in three movements.
Two
Write a template
One template per article archetype. A destination guide. A product comparison. A city listicle. A glossary entry. Templates compose: fragments you write once get reused across every piece you ever ship.
Three
Run the engine
Queue a run and the articles land in your CMS as drafts, ready for review. What used to take a quarter now takes a lunch break. You read them the same afternoon.
Dispatches from the field
What our readers tell us.
We used to spend three weeks briefing writers for 40 product pages. I ran a template last Monday morning and we had 400 pages in review by lunch. My editor asked which freelancer I hired.
Sarah Lindqvist SEO Director, Northbeam Commerce I have tried every AI writer on the market. Most of them, I end up rewriting line by line. This one I actually ship. The voice holds. That has never happened to me before.
Marcus Okonkwo Head of Content, Arcade Labs It feels like running a printing press. You load it once and it keeps going. I still read every piece before it goes out, but I am editing for tone now, not rewriting from scratch.
Yuki Tanaka Founder, Kanjo Media 2,400
Avg articles shipped per month per customer
87%
Pass human editor review on first pass
6
CMS platforms integrated
40+
Data sources supported
Reader mail
Questions the editors hear most.
How is this different from ChatGPT or Claude?
ChatGPT writes one article at a time. No data, no templates, no publishing pipeline. EsyBlog is an engine. Feed it a dataset and a template and you get 400 finished articles in your CMS by evening. Different shape of problem, different shape of tool.
Will Google flag my articles as AI?
Not in our testing. The model is fine-tuned on editorial writing, not web scrapes, so the prose reads like a person. We include an AI-detection scorer anyway, so you can check every draft before it goes live.
What data sources do you support?
Direct connectors for Google Sheets, Airtable, Notion, Shopify, PostgreSQL, MySQL, and generic REST APIs. CSV upload for one-offs. If you can query it, we can use it.
Can I run this for a client?
Yes. Agency plans include multi-workspace, white-label PDF reports, and client billing. Talk to us.
Do you host the articles?
No. We publish directly to your CMS or export raw files. Your content lives where you want it.
What about copyright and plagiarism?
Every article runs through a plagiarism check against 60 billion web pages before it ships. The narrative model is trained on licensed editorial data, not scraped content.
Colophon
Stop writing. Start shipping.
Twenty-five articles free. No credit card. No sales call unless you ask for one.
Start your trial