How to Use AI for Content Creation

What Is AI Content Creation?

Learning how to use AI content creation strategically and smartly goes beyond just using AI to make content for it. Rather, it involves craftfully using AI models to speed up and automate certain parts of the process. The end result is human-informed content that’s faster, cleaner and easier to create.

AI content creation isn’t for everyone, nor is it a one-size-fits-all workflow. Instead, effectively using AI in the process involves experimenting with different models and strategies to find what works best for you.

So, why use AI for content creation? AI for copywriters can speed up your workflows, automate time-consuming tasks and help you accomplish your content goals.

For content creators trying to determine if an AI-informed workflow is best for them, check out the following chart. If these audiences, goals and voices align with your own writing mission, then AI for content creation may be beneficial for you:

AI-generated vs. AI-assisted content

Discovering how to create content with AI first involves understanding the two basic ways of doing so. AI-generated content generally refers to any text, image or content made entirely or nearly entirely using AI. AI-assisted writing is human-created content with AI help for research, drafting, formatting or some other task.

Generally, AI-assisted content is considered the more ethical, user-centric option. Many readers are calling out AI content, and LinkedIn even recently launched a “seems like AI slop” button users can press to report potential AI-generated content. The growing upset centers around the mass use of AI to create unremarkable, flat content lacking real substance or perspective.

Reader experience aside, overrelying on AI-generated content could also hurt your site rankings in terms of SEO. Search engines like Google have introduced spam policies that punish AI-created content meant to manipulate search results.

A Simple AI Content-Creation Workflow

The best types of AI workflows for copywriters keep humans at the center of creative decision-making while automating simpler tasks. While your workflow will depend on your needs and the type of content you’re creating, this simple roadmap can help you create your own AI content workflow:

Goal & audience → Ideas → Research → Draft→ Human Review → Publish → Track Performance

1. Goal & audience: Before using AI, define your audience and the action you want your content to drive. Use this to develop clear positioning guidelines for whichever AI model you decide to use.
2. Ideas: Brainstorm for yourself what you’re looking for in your content, such as a long-form article, a listicle, a podcast outline or another form of content. Then, bring in AI to help define the specific topic and angle of your content based on your goals and audience.
3. Research: You can use AI to summarize long research articles, transcribe podcasts, outline primary arguments and more. AI can also help you find additional potential research for your content.
4. Draft: Be specific in your prompt about any specific requirements you may have for your AI draft, such as formatting H3 headers as sentence case. Consider asking it to draft an outline before a final product. This can help guide the AI to create a better first draft that will require fewer iterations and human edits.
5. Human edit: Verify facts and figures, then edit for things like brand voice, formatting and tone.
6. Publish: Once your edits are complete, you are ready to take the content live.
7. Track performance: Improve your AI prompts using any data you track, such as user engagement, traffic or SEO.

Example: The AI-assisted content creation process in motion

A boutique real estate agent has just recorded a five-minute audio memo about market trends in your local market. Now, they want to use AI to create a blog article. Their version of the AI-assisted content workflow may look like the following:

1. Goal & audience: “My goal is to get the reader to reach out to me for help buying or selling a home in my market. My audience is homebuyers and sellers in the 77002, 77005 and 77007 ZIP codes of Houston who are looking to buy or sell a historic home.”
2. Ideas: Give Gemini the following prompt: “Turn the attached audio file into a transcript. Then, brainstorm article ideas that will reach my goal of getting homebuyers and sellers in the 77002, 77005 and 77007 ZIP codes of Houston who are looking to buy or sell a historic home to contact me to represent them.”
3. Research: Give Claude the following prompt: “Supplement the article idea with potential resources about Houston buying and selling trends for these area codes, specifically for historic homes. Think: How much are historic homes going for in these areas? Use my transcript from earlier to supplement this research.”
4. Draft: Ask Claude: “Create an article outline using the article idea and research from above.” Once generated, ask, “Create an article based on this outline. Also use my attached style guide for formatting requirements.”
5. Human edit: Verify facts and figures, then edit for things like brand voice, formatting and tone.
6. Publish: Publish the article.
7. Track performance: Note how your AI-assisted content is performing so you can use that information to update AI prompts as needed.

How to Use AI for Written, Visual and Video Content

How to use AI to create content will depend on what type of content you’re trying to create. In general, AI can help create written, visual and video content. For video in particular, AI can be useful in the planning and researching stages. However, be sure there is a human review of any AI-assisted video to ensure the content is safe, trustworthy and accurate.

While AI model capabilities are growing quickly, there are still several limitations to what they can accomplish. In particular, most platforms can handle text and image creation well but have limited video capabilities. What AI can accomplish will also depend on which platform you use:

Here is a summary of how to generate content using AI, plus which tasks may be best left to humans:

How to Automate Content Creation with AI

Understanding how to use AI to automate content creation depends on your needs and the type of content you’re creating. However, in general, it’s easiest to automate repeatable, consistent tasks that don’t require heavy human input for creativity or judgment.

For instance, it’s much harder to automate a video that requires an actual human voiceover and face than it is to automate creating the outline that a human used to voice the video. Still, a human should thoroughly review any AI-automated task before publishing.

Ideal tasks for automation

In general, the following tasks are prime candidates for automation:

• Converting webinar transcripts into initial draft summaries or newsletter outlines.
• Drafting multi-platform social captions directly from approved, published blog articles.
• Building internal content calendars based on recurring seasonal marketing campaigns.
• Generating standardized content briefs using structured input templates.
• Categorizing and tagging asset archives for easier team retrieval.

Tasks that require human review

In contrast, the following tasks will generally require human judgment and review:

• Giving final publishing approval across public media channels.
• Verifying statistical data, links, historical facts, and expert citations.
• Crafting sensitive brand messages or responding to public relations developments.
• Writing regulated industry material, including legal, medical, or financial advice.
• Developing original thought leadership derived from personal business experiences.

Automation vs. human review matrix

Take a look at the matrix below to better understand what parts of the AI-assisted content workflow could be automated vs. what will likely need human review.

Best Practices: How Do I Use AI to Improve Content Creation?

Best practices for AI content creation keep humans at the center of decision-making and use AI as a tool to automate and speed up production. Here are a few specific best practices to keep in mind:

1. Write clear, detailed prompts: Make sure your prompts include a variety of information, including who your audience is, brand voice, format requirements and sourcing needs.
2. Break up projects: Instead of asking AI to create your content using one prompt, break the process up into smaller, more manageable prompts. For instance, ask it to brainstorm, then outline your final product before asking it to make the first draft.
3. Treat every output as an early draft: Review text thoroughly to smooth out repetitive language and generic phrasing. Editing gives raw drafts professional polish.
4. Verify facts and external references meticulously: Cross-reference statistics, quotes, and research citations against original documentation.
5. Add personal anecdotes and perspectives: Adding these personal, human stories will make your content more relatable to the user and feel less generic.
6. Avoid sharing private information: Make sure to remove any private or secure information from your prompts. This will help keep your information safe in the case of a data leak and prevent AI models from using it as training material.
7. Track performance: AI-assisted content with low traffic, engagement, SEO or other metrics may be a sign that you need to tweak your AI prompts. If this happens, experiment with your prompts to test what language delivers the best final result.

Compare Models and Refine Your Workflow with Lorka

Selecting the right AI model for the right tasks is a key part of the AI-assisted content creation workflow. Different LLMs have different strengths, such as using Claude for research and Gemini for data analytics.

Instead of using a single model, creators can test prompts across multiple LLMs using Lorka. This workspace lets you use multiple AI models in one place without needing multiple tabs clogging up your workspace. Instead, it lets you brainstorm, research, write and create with multiple models in one unified workspace.