Creating an AI blog: how a company blog that writes itself comes about

Last updated 22 October 2026 · 4 min read · by Marco Schulz

An AI blog comes together in seven steps: defining the reader and goal, drawing topics from real search queries, fixing writing rules as a briefing, having posts created, checking and approving every text, publishing via the website connection, and measuring the effect. Topic finding, drafting, publishing and distribution can all be automated. Facts about your own company, prices and approval stay with a human.

A company blog that writes itself isn't a button you press. It's a process of seven steps, four of which a machine can take on and three of which stay with the business. Stick to the order and you get a blog that delivers a usable post every week. Skip the process and just generate texts, and you get a website full of interchangeable articles.

Step 1: Define the reader and the goal

Before choosing a topic, it has to be clear who the blog is writing for. For a plumbing business in Weinfelden, that's homeowners with a heat pump question, not other installers. Write down three things: who's reading, what decision that person is currently preparing for, and what the blog should trigger after they've read it (a call, a quote request, a booking). These three sentences later guide every briefing.

Step 2: Draw topics from real search queries

An AI blog depends on topics coming from the market, not from the management's own head. Sources include Google's autocomplete suggestions, the "People also ask" box in search results, your own website's Search Console, and the questions that come in by phone. You'll find a detailed collection under Finding blog topics. The result of this step is a list of questions, not a list of keywords.

Step 3: Set out writing rules as a briefing

This is where quality is decided. A language model writes however it's instructed to. Without a briefing, it delivers standard German with ß instead of ss, informal address instead of formal, invented services and stock phrases. The briefing contains at least:

  • Form of address (informal or formal) and spelling (Swiss standard German, ss instead of ß)
  • Region and catchment area
  • the business's actual services, including those it doesn't offer
  • taboo words and phrasing that must not appear
  • length, structure with subheadings, FAQ section

Once written, the briefing applies to all posts and only needs fine-tuning from then on.

Step 4: Have posts created

Only now does AI come into play. For each topic, a draft is created with subheadings, an answer in the opening sentences, an FAQ section and links to existing pages on the website. Whether you do this by hand with ChatGPT, with a writing tool, or with a blog system doesn't change the process, only the time you spend per post. The difference between these tool classes is described under AI writing tool or blog system.

Step 5: Check and approve

No post goes live unread. What gets checked: facts about your own company, figures, prices, names, the form of address, and whether the text promises something the business can't deliver. For a good draft, this takes five to ten minutes; for a poor one, longer than writing it yourself would. A twelve-point checklist is available under Checking AI blog posts. Approval by click or email is the moment a human takes responsibility.

Step 6: Publish via the connection

The approved text should land on the website without any copy and paste. For WordPress, that's via the REST API; for Wix, via the Wix API; for Shopify, in the shop blog. If you don't have a system with blog functionality, you use a hosted blog that appears under your own domain via proxy. Which connection fits depends on your existing website, not on the blog.

Step 7: Measure the effect and adjust

After six to eight weeks, Search Console shows the first impressions for new search terms. This is where the next topics come from: posts with impressions but no clicks need a better title. Search terms without a post yet go onto the plan. From here, the process runs itself.

What can be automated and what can't

StepCan be automatedWhat stays with a human
Reader and goalNoThe decision on who the blog should reach
Topic findingLargelyRemoving topics the business doesn't offer
BriefingNo, a one-off done by handForm of address, services, taboo words, region
Text creationYesNothing, as long as the briefing is right
Checking and approvalNoFacts, prices, promises, tone
PublishingYesNothing, if the connection works
Distribution on social mediaYesChoosing the channels
MeasurementPartlyDrawing conclusions from the numbers

The honest summary: two of the seven steps need effort once (goal and briefing), one needs a few minutes each week (approval). The rest runs on its own.

Where people can't be replaced

No AI knows three things: what your business actually offers, what it costs, and which project you finished last week. Anything a post claims about this must come from your briefing or your approval. Google doesn't judge content on whether AI wrote it, but on whether it's helpful. What that means in detail is covered in Does Google penalise AI text?. A post only becomes helpful through what only you know.

An example from everyday life

A joinery with three employees defines its readers as owners planning a kitchen or a fitted wardrobe. Twelve questions come from Google's suggestions, such as "What does a kitchen from a joiner cost" or "Fitted wardrobe under a sloping ceiling". The briefing sets the formal address, the Thurgau region and the three types of wood the business works with. A blog system like BlogPilot creates a post from this every week, the owner reads it on Monday in five minutes, clicks approve, and the text appears on the WordPress website. The business thus invests around an hour a month, not ten.

Frequently asked questions

Do I need technical knowledge to set up an AI blog?

Not for day-to-day running. The connection to WordPress, Wix or Shopify is set up once, after that, approved posts appear on the website without any copy and paste. If you don't have a system with a blog function, you can use a hosted blog under your own domain.

How long does it take before an AI blog delivers results?

Experience from practice: first movement in the rankings after six to eight weeks, a noticeable rise in enquiries usually from the fourth month onwards. This isn't a promise, just a guide. How fast it goes depends on the industry, the competition and the existing website.

Can I let the blog run without approval?

Technically yes, many systems offer automatic publishing with a stop option. That only makes sense once the briefing has proven over several weeks that no incorrect information slips through any more. At the start, every post should be read.

What happens if the AI writes something wrong about my company?

That's exactly what approval is for. If an error appears, correct not just the post but also the briefing, so the same mistake doesn't happen again next week. Most incorrect statements happen because the briefing doesn't fully describe what the business offers.

Sources

Marco Schulz · Founder of BlogPilot, Kreuzlingen · has been writing about visibility in Google and AI search since 2023

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