Keep publishing pages your buyers search for, without writing a word.

Will pages keep going out when my team has no time?

Yes. The engine runs on a schedule whether anyone is at a desk. On the first of each month at 7am Eastern it queues the month's pieces for your account, the count set with you, and works through them in order: queued, researching, writing, draft, then approved, posting and posted, or rejected. Every piece moves through each stage in order. Research finishes before writing starts, and a draft stays a draft until your standing approval or a person releases it. A piece that fails a step stops where it failed and is retried from there, so only a finished piece reaches your site.

Open the Content view and the pipeline reads as four counts: researched, drafted, optimized and published this period. Each piece opens to its type, its status and where it went, with a link to the live post and a control to request a rewrite. Below the pipeline sit your categories and tags, each with an add control, and the Drive folders where the finished Google Docs are filed.

Take a plumber whose account is set to two blog posts a month, the default. On the first at 7am Eastern two rows appear as queued. For the first, topic research proposes a phrase a homeowner types, say the cost of a tankless water heater, and the brief is checked against the band before a word is written. Up to four web searches hand the writer up to twelve current sources. The writer opens with a direct answer to the title. The draft is filed as a Google Doc in the folder for the month with a vetted photograph beside it, and our team gets a notice that the draft is ready, with the Doc link. With auto-publish on, the piece goes to your site and a second notice says it is live, with the address.

Three kinds of piece run through the same stages: blog posts, research papers and press releases. A blog targets about 1,000 words, a research paper about 4,000 and a press release about 600. Accounts on the hands-off runner publish twice a month, on days set with you.

Will it read like everyone else's AI content?

It reads like a researched answer, and the research step is the reason. Before the draft, the engine runs up to four web searches on the topic and hands the writer up to twelve current sources, each with its address on the first line. The writer cites only those addresses, copied character for character, three to five of them inline, so every link in the piece is one a source actually carried.

The writing follows rules built for search and for answer engines alike. The piece opens with a direct answer to its title in 40 to 60 words, before any scene-setting. Headings are the questions a buyer asks out loud, not topic labels. The piece names your business and the area it serves in a plain sentence an engine can quote. Specifics beat adjectives: a size, a range, a timeframe, a standard, each one taken from the sources, so where the sources carry no figure the piece stays general. It closes with a FAQ of three to five buyer questions, each answered in 40 to 60 words that stand alone, and it carries a meta description of 140 to 160 characters written for the search result. Where we hand it a list of pages on your own site, it places three to five links to them, chosen only from that list. It punctuates plainly, with commas and full stops rather than dashes.

Then, before the engine publishes a piece itself, it opens every external link. A dead link is unwrapped so the sentence still reads. A source that blocks automated visitors or rate limits them counts as alive, and a host our check fails to reach is kept. A piece with more than half its citations dead is held, not published: a post built on dead sources is not a post.

Our own site runs on this engine, held to the same rules as your pieces: every citation is an address a source actually carried, every external link is opened before the piece publishes, and every topic clears the demand gate first. A rule that holds for our own pages holds for yours.

Will the images fit my business?

A real photograph first. For a service business a photo of the subject in good condition sells better than an illustration, so the engine searches stock photography for the subject of the post, not the action: four searches of two to four plain words, six candidates each, landscape before square. A model vets each set against the piece: the subject must be visible and fit this post, in the right setting, a photograph rather than a render, with no text, watermark or logo. If no candidate fits, the whole set is rejected and the next query runs. When stock has no fit for the topic, an image is generated instead, kept clean of text and faces.

The chosen image is sized to 1200 by 800, set as the featured image on the post and saved beside the Google Doc in the Drive folder. A photographer whose work already covers your recent posts is skipped, so the covers show a range of people rather than the same two. On a site we host, every post goes live with its image: a missing image holds the piece and alerts the team, and the page ships once the image is in place.

Have your own photography? Where your Website view lists photo folders, drop it there. Our team reviews it and adds the best of it to your site.