How to Automate Your Business Blog with AI: Step-by-Step Tutorial (2026)
This tutorial walks you through setting up a self-fed corporate blog with AI for a Catalan SME or freelancer: going from zero to publishing between 4 and 8 quality posts a month while spending 5-8 total hours, not 40. It is not a multi-client agency setup (we covered that in a previous guide); it is what you can do alone on your own blog with a couple of tools and a bit of order. It includes prerequisites, six steps with concrete examples, common mistakes and three real cases from Catalan businesses.
- What you need before starting
- Step 1: keyword idea bank
- Step 2: automatic brief per article
- Step 3: draft generation in 3 turns
- Step 4: multi-locale translation
- Step 5: human review (the non-automatable part)
- Step 6: publication on the CMS and monitoring
- Common mistakes and how to fix them
- Frequently asked questions
What you need before starting
Minimum viable stack for a freelance or SME corporate blog:
| Layer | Recommended tool |
|---|---|
| AI model | Anthropic (Claude) or OpenAI (ChatGPT) account. 20-50 €/month is enough. |
| Idea bank | Free Notion or Airtable with a status column (idea → brief → draft → published). |
| CMS | WordPress, Symfony with import endpoint (like this site), Ghost or similar. |
| Keyword research | Google Keyword Planner (free) or Ubersuggest basic plan (~12 €/month). |
| Monitoring | Google Search Console (free) and a weekly Telegram alert. |
Estimated total cost: 30-70 € a month. Initial setup time: one long afternoon, not a week.
Step 1: keyword idea bank
Open Notion or Airtable and create six columns: keyword, intent (informational/commercial/transactional), type (article/guide/FAQ), priority (high/medium), suggested SEO title, status.
To populate it, ask the model for a first batch with a prompt like this:
«Generate 30 long-tail keywords for a business in [your sector] serving [your city]. For each keyword, indicate intent (informational/commercial/transactional) and type (article/guide/FAQ).»
Review the list, drop generic or low-potential keywords and add your own variants. Important: if a keyword's top 3 are major media (El País, The Guardian…), it is too competitive for a niche corporate blog; drop it.
Step 2: automatic brief per article
For each prioritised keyword, ask the model for a brief in this format:
- Proposed H1 (compelling, not clickbait).
- 4-6 hierarchical H2s with their main idea.
- 5 questions a user would ask Google about this keyword.
- 3 top sources currently appearing for this keyword (to see what to cover and what to beat).
- Your own angle: what you bring that the top three do not.
This brief is your insurance against generic content. If the brief offers no own angle, the article will be noise.
Step 3: draft generation in 3 turns
The trick to producing useful, not generic drafts: chain three turns. Each turn keeps the JSON of the previous one and improves it.
- Turn 1: give the model the brief and a short system prompt (role, audience, rules, language). Ask for a structured draft in JSON with HTML in the content field.
- Turn 2: give it the Turn 1 draft and ask 'add 2-3 real examples from my Catalan sector, reduce generic parts and add an indicative figure when it makes sense'.
- Turn 3: EEAT review. 'Read as if you were Google: spot generic parts, improve clarity, check the main keyword appears naturally'.
Step 4: multi-locale translation
If you serve Catalonia and the rest of Spain, you want the blog at least in Catalan and Spanish. AI translation is the easiest part: hand the Turn 3 final JSON to the model and ask for a Spanish translation preserving the HTML, with adapted slugs and meta keywords specific to the market.
For EN, repeat the same prompt with English as the target. No turn touches the original content, so the CA version remains the master.
Step 5: human review (the non-automatable part)
This is what separates useful blogs from those Google ignores. Three minimum validations per post (5-10 minutes):
- Facts: any concrete figure or quote must be verified or rewritten as an indicative range ('between 800 and 1,500 €' instead of '1,247 €').
- Local case study: manually add a Catalan example (city, sector, real situation). AI tends to invent them.
- Human signature: sign with your name, link to your author page and add a personal opinion ('what I usually find is…').
Step 6: publication on the CMS and monitoring
If your CMS has an import endpoint (like this site with /admin/blog/posts/import), paste the JSON and publish. If it uses the standard WordPress editor, copy the content field, the meta and the FAQ.
Set up a Telegram alert with two basic rules:
- If a keyword drops more than 3 positions in Search Console, get notified.
- If Google AI Overviews cites your site for the first time, get notified (review it manually every two weeks if you do not have automation).
If you would like us to install this pipeline on your domain already wired and running, we offer a free audit and a closed setup: we leave it running and you only need to do the human review. You keep it, no dependency on us.
Common mistakes and how to fix them
- A dietitian in Cerdanyola del Vallès was producing drafts with a single turn and they came out flat and generic. Switching to three turns + a manually added case study changed the tone in less than a month.
- A tax lawyer in Banyoles had GPTBot blocked by the WordPress template default. Allowing it on the /blog/ section made his articles start showing up on Perplexity for freelance-related searches.
- A distributor in Vilanova i la Geltrú published without FAQ. Adding a 5-question FAQ at the end of each article made their pages start appearing in AI Overviews for queries like 'industrial supplier Barcelona southern area'.
Frequently asked questions
How much real time does this pipeline take to maintain?
Once set up: 5-8 hours a month for 4-8 published posts. The concentrated effort is in human review, not generation. If you want more volume, add more keywords to the idea bank, not more steps to the pipeline.
Will Google penalise me if the content comes from AI?
No, as long as it is useful and original. Google penalises content without human supervision or without added value. With the review layer and real cases, there is no real risk.
Which AI model should I pick for an English blog?
Both Claude (Sonnet 4.6) and ChatGPT (4o) write strong English. Claude tends to be more faithful to the brief; ChatGPT is more creative. The real difference is the system prompt, not the model.
Should the blog live on my main domain?
Yes. Putting it on a subdomain or external domain dilutes authority. I always recommend /blog/ or /learn/ inside the main domain.
What if the draft is not good on the first attempt?
Do not bother fixing it manually: re-run Turn 2 and Turn 3 with a specific request ('add more examples from sector X', 'reduce the theoretical parts'). It usually fixes itself in one pass.