An AI SEO writer that researches, fact-checks and publishes.

An SEO writer AI is software that writes articles meant to rank in search: it picks a target keyword, plans the structure, drafts the copy, and adds the title, meta description and headings search engines read. The label covers everything from a prompt typed into a chat assistant to a full pipeline. The difference that matters is how much of the job it owns. Drafting is the easy part. Keyword choice from real data, fact-checking, a quality floor and publishing decide whether the article ranks.

For drafting, yes, and all three are good at it. What they do not bring by default is measured search data, a view of the pages you already have, or a publish step, and each one tells you under the reply box that it can make mistakes. If you have the hours to supply keyword data, verify every claim and paste each article into your CMS, a chat assistant works. The SEO Agent is for teams who would rather not do that every day.

Not because software wrote it. Google Search Central has said since February 2023 that it rewards quality regardless of how content is produced. What its spam policy targets is scaled content abuse: many pages generated mainly to manipulate rankings without adding value for readers. Its guidance on generative AI content also asks for accuracy and a fact-check before publishing, titles, meta descriptions and structured data included. One checked, useful article a day is the opposite of that pattern.

Both labels describe the same job. The SEO Agent writes long-form blog articles, about 800 to 3,000 words depending on the length you pick, each aimed at one keyword, with headings, internal links to real pages on your site, images, a meta description, and article and FAQ schema. It is not built for ad copy, product descriptions or social posts.

Autoblogging describes the cadence: a post goes out every day without anyone writing it. AI SEO writer describes the writing and the checks around it. The SEO Agent does both, one article a day, but the parts that decide rankings are the ones on this page: keywords from real data, a fact-check, a score floor. Old autoblog plugins scraped RSS feeds. This researches and writes each article from scratch.

That depends on your robots.txt, not on who wrote the page. GPTBot and ClaudeBot collect training data. Separate bots fetch pages for answers: OAI-SearchBot for ChatGPT search, Claude-SearchBot and Claude-User for Claude, PerplexityBot for Perplexity. Google-Extended is a robots.txt token that controls Gemini training use and does not affect Google Search. Each operator documents its bots as independent, so blocking only the training crawlers leaves the answer crawlers able to read and cite you.

Yes. You set the voice, length and linking preferences per project, and voice is scored on its own at the quality gate: a draft has to reach 70 on voice by itself, so strong scores elsewhere cannot hide an article that does not sound like you. You can also leave a marker such as [ADD PERSONAL STORY HERE] in your instructions, and any article that still carries one is held for your review instead of publishing.

$99 a month flat after a free trial, for one site with 30 articles a month included. That covers keyword research, drafting, the fact-check pass, the quality gate, images and native publishing to WordPress, Webflow, Shopify or Ghost. There is no per-word meter and no token surcharge. Each additional site is $79 a month, and cancellation is one click inside the app.