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Compare · Blog builders
AI SEO article generator & auto-publisher
AutoBlogging.ai requires a website you already run: it generates SEO articles in bulk and publishes them into your WordPress or other CMS. Ever Works researches the topic, generates the site itself from a template you own, deploys it, and keeps it improving on a schedule — content and code in your Git.
AutoBlogging.ai requires you to already run a website: it is a cloud service that generates SEO articles at volume and publishes them into a WordPress site or one of a dozen other CMS destinations, and it never builds the site, the theme or a repository. Within that scope it is a serious content factory — a fast single-article mode, a two-stage Godlike Mode that mines the top-ranking pages before writing, bulk runs of up to 500 articles from one CSV, a semantic SEO audit, schema markup, internal linking, a Site Optimizer that refreshes posts already published, and visibility tracking inside Google’s AI Overviews — sold on six credit-metered tiers and used, by its own count, by more than 40,000 creators across 35+ languages. What it does not do is research keyword volume, track rankings or read Search Console, and independent reviewers consistently report that its drafts still need an editor before they compete. Ever Works starts from the other end: it researches the topic, generates the site from a Next.js or Astro template into three Git repositories you own, deploys it, and re-runs its pipeline on a schedule with named Agents doing the follow-up work — while being honest that its blog kind is early, its writer is the items pipeline today, and long-form posts are commissioned as Agent tasks rather than produced by a dedicated generator. AutoBlogging.ai wins on article throughput, unit cost and search tooling; Ever Works wins when the site itself, Git ownership, open source and a standing autonomous team are the point.
AutoBlogging.ai belongs to the group of blog tools that cannot start until you already have a website: its output is a stream of articles pushed into a CMS you operate, and nothing in it generates a site, a theme or a repository. Ever Works begins with the property. Give it a topic and it researches the domain, searches the web, extracts and validates real sources, and generates the site from a template into three Git repositories in your own GitHub account — for a blog, a Next.js App Router template with a Markdown blog, or an Astro static variant. Two honest caveats sit next to that. The research pipeline is item-shaped, so today it is strongest for directories and content sites; there is no dedicated blog-post generator yet, so a Blog Work’s Posts tab is fed by the same items pipeline and a specific post is commissioned as a Task for a Work-scoped Agent rather than produced by a generator with a SERP-grounded brief. And Ever Works publishes to the site it generated: there is no WordPress, Shopify or Ghost publishing target, so if you will not migrate, AutoBlogging.ai fits and Ever Works does not.
AutoBlogging.ai runs discrete jobs you configure and pay for — a bulk run, a Site Optimizer pass over posts already published on a connected WordPress site (Standard tier and above), an audit — with no standing worker pursuing a goal between them. Ever Works re-runs its generation pipeline on seven cadences from hourly to monthly, retries a failed run after fifteen minutes, pauses a schedule after three consecutive failures and marks a run stuck for over an hour as failed instead of letting it hang, while named Agents wake on their own heartbeats, decide the single most useful next action and take it. It also keeps the website layer itself current: an hourly check re-applies the upstream template whenever it moves. The sharp edge to know about is that every template update and branch sync force-pushes the main, stage and develop branches of the website repository, so custom code kept there is lost. Items, categories and taxonomy are untouched because they live in the separate data repository — but on a blog page the exception matters: posts on a Blog Work built from the web template live in the Markdown blog inside that template, and the data repository has no posts folder, so keep posts, like any code change, on a fork of the template or with automatic updates switched off. To be equally plain about the other side: an Ever Works cadence is a content refresh, not a publishing calendar, and nothing yet revisits the body of a published post the way the Site Optimizer does.
With AutoBlogging.ai your corpus lives in the vendor dashboard until it is published out; the export path is the CMS you publish to or copy and paste, nothing lands as a commit, and there is no source to read, no self-hosting and an API that starts at the $249-a-month tier. Ever Works commits both the content and the generated code to repositories you own — items, taxonomy and even your Agents’ instruction files — so every change is a diff you can review, revert or take elsewhere. The runtime is open source under AGPLv3 with no paid feature tier, runs on Docker or Kubernetes, deploys to Vercel, a cluster you control or managed hosting, and uses the model provider you choose — eleven are supported, including local Ollama, LM Studio and vLLM — instead of a vendor’s credit currency. The same operations are reachable from the chat rail on every dashboard page, the CLI, API keys and the MCP server.
AutoBlogging.ai organizes around articles and the credits they cost, with a Knowledge Base for brand context the generator draws on. Ever Works organizes around a goal: a Mission proposes Ideas, accepted Ideas become Works, and Agents with a scope, a budget and a heartbeat keep each one moving, with spend caps enforced before every AI call rather than after the bill. Each Work carries a typed, Git-backed Knowledge Base — brand, style, personas, glossary — injected into every run, and quality gates, merge policy and an optional branch and pull request per Task keep autonomous output reviewable. A blog can be one Work inside a larger operation — next to a directory, a marketing site or a landing page — and one intent can grow into a portfolio of self-maintaining sites (and, on the roadmap, stores and whole companies).
Ever Works vs AutoBlogging.ai, head to head.
| Feature | Ever Works | AutoBlogging.ai |
|---|---|---|
| Prompt → working app/site | ✓ | No; needs a site you already run |
| Researches the topic for you | Web research; item-shaped today | SERP analysis per article |
| Writes the content (copy, posts, SEO) | Items pipeline today; post writer rolling out | ✓ |
| Generated code from a template base | ✓ | – |
| Ongoing autonomous maintenance | Scheduled | Per-job; Site Optimizer |
| Content version-controlled in Git | ✓ | – |
| Code in your Git | ✓ | No code |
| Open source | ✓ | – |
| Self-hostable runtime | ✓ | – |
| No vendor lock-in | ✓ | Publish out or copy/paste |
| Bulk article generation from a CSV | Directory items only | Up to 500 per run |
| SERP-grounded brief you edit before writing | – | ✓ |
| AI Overviews visibility tracking | – | Google AI Overviews |
| Publishes into a CMS you already run | – | WordPress + 10 more |
Choose AutoBlogging.ai when you already run a WordPress, Shopify, Ghost or Webflow site and the job is volume: hundreds of SEO articles at the lowest unit cost available, generated from a CSV, auto-published into the CMS you operate, and measured by classic search and Google AI Overviews visibility. It is also the better pick if you want a SERP-grounded outline you can edit before each article is written, a Site Optimizer that refreshes what is already published, a Fact Checker, proofreading and schema markup as add-ons, 35+ output languages, and a human escape hatch — proofreading or done-for-you packages — when drafts need polish. Go in knowing it does no keyword-volume research, rank tracking or Search Console reading, that reviewers report its drafts need editing to compete, and that the content lives in the vendor dashboard until it is published out.
Visit AutoBlogging.ai ↗Give Ever Works a topic and its agents research it, generate the site and its content, deploy it, and keep re-running on the cadence you set — all version-controlled in your own Git. A dedicated long-form post writer is rolling out.