AutoArticle is an AI content generator for automatic blogging on WordPress and HubSpot. It turns a list of topics into blog posts and is described as a way to create fresh content on autopilot, with the stated aim of helping with search traffic and keeping a website active.
The product says users can enter their topics and choose writing and image style, then set posts to Draft when they want to preview before publishing. It generates articles on any topic and presents them as fully formatted, SEO-optimized blog posts with featured images. The page also says it analyzes keywords, writes in a preferred tone, and optimizes headings, meta descriptions, alt text, and internal links. An integrated image generator produces visuals that are described as on-brand.
AutoArticle is offered for both HubSpot and WordPress. For HubSpot, setup is presented as a three-step process: install the HubSpot app, configure article settings, and finish. For WordPress, the same basic flow is shown through a WordPress plugin. The WordPress compatibility mentioned on the page includes Gutenberg and Classic Editor. The site also states that it supports unlimited languages.
Pricing is shown as one plan at $9 per month, with the first month free, and the plan includes 30 articles per month plus posting to socials. The page presents the product as AutoArticle™, with no separate licensing terms stated beyond the free plugin and the paid membership level shown on the site.
AutoArticle Content Generator sits in PulseGate's Image generation category. It focuses on creating and publishing high-quality blog content with images is time-consuming for WordPress site owners. AutoArticle Content Generator is a B2B product aimed at bloggers and content marketers using WordPress. There is a free tier. It ships for the web.
Behind AutoArticle Content Generator is sa77, and it first shipped in 2026. Key capabilities include AI article generation, image generation, and scheduled publishing. It exposes integrations via a public API.
Summary written by a language model from the project’s public pages.
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