Updated
Yes, ChatGPT can write a blog post in about thirty seconds. The question worth asking is what happens to that post over the following year, since the year is where the cost of the decision lands.
We use AI here daily, for research, for outlining, and for arguing with an idea before anyone starts writing, and we do not use it to write or edit the content we publish for clients. That line is not squeamishness about the technology, it is what we learned from watching which pages keep earning and which ones quietly stop.
What It Is Genuinely Good At
Getting past the empty page. Ask it for fifteen angles on a topic and twelve will be obvious, two will be wrong, and one will be a piece you had not thought of, which is a good trade for two minutes.
Structure. Give it your raw notes and ask for an outline and it will impose a reasonable order on them, because reordering an argument is mechanical work and mechanical work is what these tools are for.
Reading something faster than you can. A long report, a competitor’s page, a transcript of your own webinar, and summarizing existing text is a different task from generating new claims, one it is far more reliable at.
Being a first reader. Paste a draft and ask what argument it is making, and if the answer surprises you then the draft has a problem you found before your audience did. Would your reader have described it the same way?
Where It Costs You Later
It writes the average of what has already been published. The averaging is the mechanism rather than a flaw in your prompt, so ask any model about your category and you get the consensus of the pages it learned from, which is precisely the content already competing with you. Nobody links to the middle of the distribution.
It knows nothing about what happened inside your company. The reason a customer called in a panic, the client you turned down, the pricing decision you regret. Those details are the parts of a post nobody else can publish, and a model cannot invent them because they did not make it onto the internet.
It states things it cannot support. Confident, plausible, and sourced to nothing, which on a blog about hobbies is embarrassing and on a page where a buyer is deciding whether to trust you with money is expensive.
It sounds like itself. The tidy three-part sentence, the balanced conclusion that commits to nothing, the paragraph that opens by restating the heading. Readers may not name the pattern, but they recognize it, and more of them do each month.
Prompting Advice Ages Badly
The earlier version of this page told you to phrase prompts as statements rather than questions, and where to click to start a new chat. Both were true when it was written, and neither is worth your time now. Interfaces change on their own schedule and the models change under them.
What has held steady is duller and more useful. Give it more context than feels necessary, because most weak output is a starved prompt rather than a weak model. Ask for the reasoning alongside the answer, since a wrong answer with visible reasoning is easy to catch and a wrong answer alone is not. And check anything you would be embarrassed to be wrong about in public, which is the same rule you would apply to a new hire.
What Google Does About It
Google’s stated position is that it rewards helpful content and does not care how it was made. That is close enough to true to be worth taking at face value, and it is also less permissive than people hear.
Content generated at volume tends to be thin, derivative and unsupported, which are the things that lose rankings on their own merits. The generation is not what gets penalized, and the result usually deserves what it gets. Meanwhile the answer engines that increasingly sit above the search results cite pages that say something specific and attributable, and the average of the internet has nothing specific to cite.
A Workflow That Holds Up
- Pick the topic from your own data. Your Search Console already lists the questions you rank for on page two, which is demand you have earned and are not collecting.
- Use the model to widen the angle, then choose one yourself. The choosing is the part that makes the post yours.
- Say the thing only you can say. One paragraph of what your company learned the hard way outweighs a thousand words of survey.
- Write the draft as a person. Use the model to check the argument, not to produce the sentences.
- Verify anything you would not want quoted back at you. Numbers, dates, names, claims about somebody else’s product.
- Measure it. If a post earns nothing in six months, the lesson is in the topic choice, and no amount of generation speed would have saved it.
Where We Land
Speed was not the constraint on content marketing. Nobody’s blog failed because the drafts arrived too slowly, they failed because the posts held nothing the reader could not get somewhere else, and generating that faster only makes the problem arrive sooner.
So we put AI where it removes friction and keep a person where the judgment is. If you want the version of that with a writer attached to your account, our blog writing service explains how it runs, and what blog writing costs covers the money side before you ask.
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Where It Costs You Later
