AI Prompts for Writing Blog Posts

If one AI tool gives you very good results and another gives mediocre ones, the difference is often not in the model but in the prompt. Between "write a blog post about coffee" and defining the audience, structure, tone and source, there is a world of difference. In this article, you will find a prompt skeleton you can use when preparing a blog post, examples, and the checks to run before publishing.

The four components of a good prompt

Whichever tool you use, strong prompts usually consist of the following parts.

Role and context: tell the model what perspective to write from. "You are an experienced coffee editor who writes about home espresso machines."
Task and goal: what will be produced, and for what purpose? "A 1,200-word buyer's guide that makes the reader's purchase decision easier."
Constraints: tone, length, number of headings, forbidden phrases, keywords. "Friendly but not exaggerated; avoid clichés such as 'in today's world'."
Output format: heading structure, table, FAQ section, Markdown or HTML.

On top of these, the most effective addition is an example. Pasting a paragraph you like and saying "write in this tone" is far more powerful than a three-sentence description of the tone.

Break the work into stages instead of writing from scratch

Asking for a finished article in a single prompt usually gives an average text. If you split the process into stages, you keep control and the quality rises.

Topic and intent: first define the search target. Is the reader looking for information, a comparison, or a purchase?
Draft and headings: ask the model for an outline with 8–10 headings, then correct it yourself.
Section-by-section writing: write each heading with a separate prompt, and give each one concrete data, examples or your own notes.
Editing: do a separate pass for the introduction and conclusion, transitions and repetitions.
Verification: check the numbers, dates and claims one by one.

Example outline prompt

You are a Turkish SEO content editor. Topic: "making pour-over coffee at home". Reader: someone new to coffee, aged 25–40. Give me an outline with 7 headings. Under each heading, write a 2-sentence content summary. Also list separately the 4 questions the reader is likely to have.

From the resulting outline, remove unnecessary headings and add any aspect you feel is missing. At this point, adding your own expertise to the article is the most important thing that distinguishes it from other AI output.

Practical commands for tone and style

AI texts sometimes come out too flat, sometimes too enthusiastic. You can manage this openly in the prompt.

"Use short sentences; paragraphs should have at most four sentences."
"Write in a conversational tone, addressing the reader as 'you'."
"Avoid exaggerated praise and generalizations; back every claim with an example."
"Briefly explain technical terms the first time they appear."
"The introduction should start directly with the problem, not with a definition sentence."

Giving a list of forbidden words also helps. If the model keeps repeating the same clichés, write those phrases once and say "do not use these."

A comparison of weak and strong prompts

Aspect	Weak prompt	Strong prompt
Audience	Not specified	"Beginners with little technical knowledge"
Length	"Write a long one"	"1,200 words, 6 headings"
Tone	"Write it nicely"	"Friendly, addressing the reader as 'you', short sentences"
Format	Free	"Headings, bulleted list, FAQ"
Source	None	"Base it on these notes, do not make assumptions where you lack information"

Which tool should you choose?

The same prompt behaves differently across models. Claude stands out for long and consistent texts, ChatGPT for broad general use, and Gemini for working with Google products. You can read our detailed comparison article on this topic. To start experimenting, options such as ChatGPT Plus personal account, Gemini Pro personal account or access to Claude Opus 5 and Sonnet 5 are available. For searching sources and verifying current information, Perplexity AI is useful. You can see all options in the AI tools category.

Editing and checks before publishing

AI output is a strong draft, not a finished article. Do not skip the following checks before publishing.

Fact checking: models can confidently state wrong information. Check dates, numbers, version numbers and quotations against their sources.
Originality: add your own experience, photos or data. Search engines and readers look for original contributions.
Keywords and headings: the main keyword should appear in the heading and the first paragraph, but without forcing it. You can check this with plugins such as Rank Math; Rank Math Pro is a common choice for this.
Grammar and flow: read the text aloud. Tools such as Grammarly are useful for English texts; for Turkish, a human eye is still essential.
Duplicate content check: make sure there is no word-for-word copying from other sources.

To get keyword ideas, adding data from tools such as Semrush to the prompt clearly tells the model what you are targeting.

Common mistakes

The first mistake is limiting the prompt to a single sentence. The second is publishing the output without any editing. The third is asking the model for information it cannot access; asking a model with no internet connection "what are this week's prices" increases the risk of a wrong answer. The fourth is staying in the same conversation for too long and inflating the context. As the article grows, the model may forget early instructions; insert short reminders along the way, or start a new conversation and provide a summary.

Prompt techniques that add originality to your writing

The common problem with AI-generated texts is that they all start to resemble each other. You can break this pattern with your prompts.

Provide your own raw notes

Instead of asking the model for general information, give it your own experience, customer questions, test results or unfinished notes, and say "turn these into a proper article, and do not add anything I did not say." This method both reduces the risk of made-up information and gives the article your own voice.

Ask about the reader's objections

Once the draft is finished, ask the model: "What objections would a skeptical reader raise to this article?" Add the objections that come up to the relevant sections. This way the article stops being a pile of facts and starts answering a real question.

Have it critique in a different role

When you finish writing, ask the model in the same conversation to switch to an editor's role: "Now act like a strict editor; flag repetitions, unclear sentences and unsupported claims." This second round catches the weak points of the first draft surprisingly well.

Constrain the structure

Structural constraints such as "each section should start with a question," "each section should have one example and one warning," or "use a table only where a comparison is really needed" reduce the feeling of a template and improve readability.

Separate prompts for the title, meta description and image

The title and how the article appears in search results matter as much as the article itself. Generate these separately from the body text. For the title, you can say "suggest five alternative titles, with the main keyword at the beginning, none longer than 60 characters." For the meta description, "write a 150-character description that includes the problem the reader is searching for and the promise of the article" is enough. Choose among the options yourself; the model's first suggestion is rarely the best.

You can also use AI or design tools for the image. Canva Pro is a popular choice for preparing a blog cover; it offers practical features such as one-click resizing for social media dimensions.

Building a prompt library

Writing a prompt that works well once and then forgetting it is a big waste. Keep a "prompt library" in a note app or a simple document: templates for the outline prompt, section writing prompt, editing prompt, title suggestion prompt and FAQ generation prompt. Mark the parts that will change in each template with square brackets, for example [topic], [reader], [tone]. When you start a new article, you then only need to fill in these fields.

Over time, you will also learn which template works well for which type of article. For example, a constraint asking for a table works well in comparison articles, while requiring a numbered list noticeably improves step-by-step guides. Noting in one sentence what each prompt left out after every article will strengthen your library noticeably within a month.

Frequently Asked Questions

Does AI-written content get penalized in SEO?

Search engines look at whether the content is useful to readers, not how it was produced. Texts that add no original value, are not verified, and are mass-produced perform poorly. Edited and verified content causes no problems.

Should I write the prompt in Turkish or English?

If you want Turkish text, writing the prompt in Turkish is usually enough. Models produce good results in Turkish, but for technical topics, citing English sources can improve accuracy.

Can I use the same prompt for every topic?

You can use the skeleton, but you should update the audience, examples and constraints for each topic. Saving your successful prompts in a template file saves time.