Why do AI blog posts read as generic?
AI blog posts read as generic because the tool is given a topic and nothing else, so it writes the average of everything already published on that topic. Readers notice, and so do the people who check facts.
A fictional 9-person catering equipment supplier, Copperpot Supplies, wants a post on choosing a commercial dishwasher. The marketing manager, Lena, has these notes from the sales team: 'customers always ask undercounter vs pass-through. most small cafes buy undercounter. water softener matters in hard water areas, we see breakdowns. our installers say measure the doorway!! lead time 2-3 wks. dont mention brand X issues.' That is exactly the knowledge a generic post lacks, and exactly what disappears if Lena only types 'write a blog post about commercial dishwashers'.
What is the step-by-step method for AI blog writing?
Write a short brief yourself, ask the AI for an outline and approve it, draft section by section from your own material, then edit for voice and check every claim. You stay the author; the AI does the arranging and first-draft wording.
1. Write the brief
Reader, the question they searched, the one thing they should do after reading, your expert notes, and what must not be said.
2. Approve an outline
Ask for question-style headings that answer the reader's real questions. Cut sections that are padding.
3. Draft from your material
Draft one or two sections at a time and tell the tool to use only your notes for facts. Mark any sentence that needs a source.
4. Edit for voice
Give two paragraphs of a past post you like and ask for edits that match its sentence length and tone. Then edit by hand.
5. Verify every claim
Every number, comparison, safety point or legal point is checked against a source you can name, or removed.
What does a weak and an improved AI blog draft look like?
Weak result from 'write a blog about commercial dishwashers': 'In today's fast-paced hospitality industry, choosing the right commercial dishwasher is crucial. Studies show that efficient dishwashing can reduce labour costs by up to 30%.' The opening is filler and the statistic is unsourced, possibly invented, and would be published under Copperpot's name.
Improved, after a brief and approved outline: heading 'Undercounter or pass-through: which does a small cafe need?' followed by 'Most small cafes we supply choose an undercounter machine, because it fits under an existing worktop and handles the volume of a single service. Pass-through machines make sense when you wash continuously through a busy lunch and have room for tabling on both sides.' A later section, 'Measure the doorway before you order', comes straight from the installers' note. The draft flags one sentence for checking, the claim about hard water and breakdowns, and Lena confirms it with the service team before publishing. Brand X is not mentioned.
How do you check an AI blog post before publishing?
Read the post once for claims and once for voice. List every factual statement, confirm each against a source you can name, and remove anything you cannot verify. Never publish facts, statistics, quotes or product claims that nobody has checked, because the post carries your company's name, not the tool's.
Claims list
Ask the AI to list every factual claim in the draft. Tick each one off against your notes or a cited source.
Specifics test
Could a competitor publish this paragraph unchanged? If yes, add your own experience or cut it.
Promises
Check lead times, prices, guarantees and comparisons with the people who own them.
Voice
Remove stock phrases such as 'in today's fast-paced world' and 'unlock the power of'.
What are the common mistakes in AI blog writing?
The biggest mistake is publishing statistics the AI produced without a source. Others: skipping the brief, accepting the first outline, drafting the whole post in one prompt so the facts blur, editing only for grammar rather than substance, and publishing many near-identical posts that add nothing a reader cannot find elsewhere.
Where does AI blog writing fit in a Tosheo.ai path?
Blog writing sits in the content lessons of the Tosheo.ai marketing path, after the basics of briefing and checking AI output. The hands-on task asks the learner to brief and draft a short post from supplied notes, and the rubric feedback points out unsourced claims, generic paragraphs and drift from the brand voice.