You sit down to write a blog post, struggle to get started, and eventually finish a draft, only to realize it doesn’t quite get your point across. Even experienced writers can get stuck in this cycle. That’s why more small business owners are using AI to write blog posts and kickstart the content creation process.
Modern AI tools let you frame ideas, generate outlines, and draft blog posts tied to your products—like buying guides, comparison articles, or seasonal trend posts—in seconds. They can help you overcome writer’s block and create content that aligns with what customers are searching for and how search engines rank content.
AI tools work best when paired with your expertise. This guide shows you how to use AI to generate high-quality content, so you can publish consistently without sacrificing quality.
Reasons for using AI to write blog posts
There are many reasons to experiment with AI for blog writing.
Instead of spending hours brainstorming, you can prompt an AI writing tool to generate ideas, draft headings, or build outlines for long-form content. According to SurveyMonkey, 88% of marketers use AI, and more than 90% of those rely on it to generate content faster.
Faster outputs help you maintain a consistent blog publishing schedule. In fact, AI tools help companies produce 42% more content each month, according to a 2025 Ahrefs report. When you use AI to write early drafts, it becomes easier to consistently publish new posts and drive organic traffic from search engines.
AI can also handle search engine optimization (SEO) tasks that might otherwise feel intimidating. For example, it can help generate and incorporate:
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Meta descriptions. Short summaries that appear in search results and influence click-through rates.
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Alt text. Descriptions of images that improve accessibility and help search engines understand visual content.
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Keywords. Primary and secondary terms that help your content appear in relevant search results.
You can also use AI to identify trending topics that align with your target audience by analyzing search behavior, social media trends, and competitor content.
How to use AI to write blog posts
- Start with keyword research
- Generate ideas and outlines
- Write strong prompts
- Refine the first draft
- Add human insight
If you want to start using AI to write blog posts, follow a structured approach that helps you move from idea to publish-ready content efficiently:
1. Start with keyword research
Use a keyword research tool like Ahrefs or Semrush to understand what your customers are searching for and tailor your content to search intent. This increases your chances of ranking in search results for relevant queries and helps your blog posts match the reason behind a user’s search.
AI can help identify related keywords, but it’s important to review them for relevance to your target audience. This step helps ensure your blog content supports SEO and increases its chances of appearing in search engine results.
2. Generate ideas and outlines
Once you settle on your topic and target keywords, ask your AI tool to generate an outline for your blog post. AI tools can generate ideas and, if you don’t already have a direction in mind, help structure your post. These AI-generated outlines organize your key points and help you move from idea to draft faster.
You can also improve results by using features like custom projects or saved instructions, which are available in many AI tools. Then upload brand context—like your product descriptions, past blog posts, or brand voice guidelines—so the tool can draw on it.
3. Write strong prompts
The quality of the results you get from AI depends heavily on the quality of your prompt—the instructions you give the tool. While AI can suggest ideas and structure, your prompt lets you shape the output to match your goals.
A vague prompt will likely produce generic output, often referred to as “AI slop.” Instead, include specific instructions for your:
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Topic and goal
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Target audience
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Key points or angle
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Keywords and SEO requirements
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Tone and style
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Structure or format
Here’s an example of a strong prompt. Each section represents instructions you can include to guide the AI’s output:
Write a 1,000-word SEO blog post for beginner skin care customers.
Topic: How to build a simple skin care routine for beginners
Primary keyword: Skin care routine for beginners
Secondary keywords: Basic skin care steps, simple skin care routine, skin care order
Angle: Most beginners overcomplicate skin care. This post should position a simple three- or four-step routine as the most effective starting point.
Target audience:
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New to skin care
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Overwhelmed by too many products
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Wants affordable, simple solutions
Tone and style:
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Conversational but authoritative (like a knowledgeable friend)
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Clear, no jargon
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Slightly opinionated to help guide decisions
Structure or format:
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Hook: Call out the confusion beginners feel
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Section 1: Why simple routines work better
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Section 2: The 3–4 essential steps (with explanations)
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Section 3: Common mistakes to avoid
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Section 4: Optional add-ons (only after basics)
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FAQ section (4–5 questions)
SEO requirements:
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Use primary keyword in H1, intro, and at least one H2
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Naturally incorporate secondary keywords
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Keep paragraphs short (2–3 sentences max)
Constraints:
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Avoid generic advice like “it depends” without giving direction
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Do not recommend more than five products total
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No fluff or filler sentences
A prompt like this gives AI clear guardrails, helping it produce content that aligns with your brand and goals.
4. Refine the first draft
Most marketers treat the AI output as a first draft, but that version still needs review before it’s ready to build on. Before adding your own insights, carefully evaluate the AI-generated draft to verify factual accuracy, simplify unclear language, and make sure it reflects your brand voice.
This is also a good time to check that your primary and secondary keywords appear naturally and appropriately and that your content is easy for both readers and search engines to understand.
5. Add human insight
AI can get you started, but your input is what makes the content valuable.
Nik Sharma, the marketing expert behind Sharma Brands, suggests using AI to develop ideas or draft an article, but he warns brands not to publish AI’s output unchanged.
“AI is great for your first draft. It’ll save you the first 40 minutes of writing or idea generation,” he explains on the Shopify Masters podcast. “But the final draft is something that should be massaged by you, the owner and operator, before it goes out.”
Add your own perspective, examples, and product insights to make the content more useful and authoritative. This might include lessons learned from your business, customer stories or pain points, or specific recommendations based on your experience. At this point, your post should feel clear, useful, and ready to publish.
AI tools for writing blog posts
Several types of AI tools can support your blog writing process; the right choice depends on your needs, budget, and how you prefer to create content:
Shopify Sidekick
Shopify Sidekick is built directly into the Shopify ecommerce platform and helps store owners create content faster without switching tools. It can suggest blog topics, draft posts, and offer recommendations to improve readability and SEO. Because it’s integrated into your store, it’s especially useful for generating content tied to your products and collections, using your brand voice.
General AI tools (ChatGPT, Claude, Gemini)
General-purpose AI platforms like ChatGPT, Claude, or Gemini offer the most flexibility. You can use them to come up with content ideas, generate outlines, and draft full blog posts using custom prompts.
Most of these tools offer free tiers with usage limits, as well as paid plans that unlock more advanced models, longer outputs, and faster response times. If you’re creating content regularly or want more control over tone and structure than free tools typically allow, upgrading to a paid plan can be worthwhile.
SEO-focused AI writing tools
Tools like Frase, Jasper, and Koala are built specifically for blog writing and SEO. In addition to generating content, they often include keyword research, search engine results page (SERP) analysis, content scoring, and optimization suggestions.
These tools are usually paid and best suited for businesses that are actively investing in SEO and publishing content at scale. If your goal is to rank consistently for competitive keywords, they can help streamline both writing and optimization.
Tips for using AI to write blog posts
To create content that performs well and feels authentic, keep these best practices in mind.
Focus on value, not volume
Publishing dozens of AI-generated blog posts may seem productive, but search engines reward high-quality content over quantity. If you want to outrank competitors, your content needs to provide real value—not just keyword-heavy filler.
Jeremiah Curvers, founder of the mattress company Polysleep, cautions brands against publishing posts that don’t clearly connect to their overall strategy.
“AI is an amazing tool that can be leveraged to facilitate certain things, but you really have to spend the time to ensure your content makes sense for the user,” he says in an episode of the Shopify Masters podcast. “It’s easy to pump out gibberish that will not bring value to the user, and ultimately, that will not help your brand. You really have to invest in a proper content strategy.”
Repurpose existing content
Instead of starting from scratch, use AI to turn existing content into blog posts. For example, you can convert videos, podcasts, or social media posts into structured written content.
Muammar Reed, cofounder of children’s book publisher MiJa Books, recommends this approach as a way to convey your genuine voice. In an episode of Shopify Masters, he suggests creating explainer videos, uploading the transcripts to an AI tool, and repurposing them for blog posts.
“Posts based on your content are going to capture your authentic voice because they’re trained off of your video and your content. They’re going to sound like you,” he explains. “With AI, there’s no longer any excuse for not turning one piece of content into four or five other posts on different platforms.”
Double-check AI-generated facts
AI can generate content that sounds confident and well-structured, but that doesn’t mean it’s always accurate. AI tools are known to “hallucinate,” or produce incorrect information that appears believable. Even advanced AI models can produce incorrect information in a meaningful percentage of responses, especially on complex topics.
Before publishing, double-check any statistics, claims, or product details against reliable sources. Even small inaccuracies can undermine trust and hurt your credibility.
Using AI to write blog posts FAQ
Is it practical to use AI to write articles?
Using AI to write blog posts can accelerate the writing process, improve content quality, and help you publish consistently. However, AI should complement—not replace—your editorial judgment.
Is AI-written content bad for SEO?
AI-generated content can perform well in search results if it provides genuine value. What matters most is accuracy, originality, and relevance to your target audience.
How do you use AI for writing without plagiarizing?
Use AI as a starting point rather than a final product. It’s well-suited for generating outlines, expanding ideas, and refining drafts. Adding your own examples, data, and perspective helps ensure your content remains original.
