Nearly 77% of companies are already using AI, and it’s easy to see why. AI makes it faster and easier to plan, create, and manage content without spending hours on manual tasks.
It also helps with finding content ideas to improve SEO and tracking performance. This takes the pressure off content teams, allowing them to focus on creative work and strategy.
In this article, we’re going to discuss how to use AI to automate your content strategy and speed up your growth.
Key Areas Where AI Can Automate Content Strategy
Let’s discuss the key areas where AI can automate content strategy and help businesses grow faster.
Content Research and Topic Generation
In the past, marketers had to brainstorm ideas, check what competitors were writing, and guess what their audience wanted to read. But with AI, this process has become much faster and more accurate.
Eran Mizrahi, CEO of Source86, shares, “AI tools can scan thousands of search engine results, social media posts, and industry websites to find trending topics. They analyze what people are searching for and identify “content gaps” — areas where demand is high, but there isn’t enough content available. “
For example, if lots of people are searching for “how to automate content marketing,” but few blogs exist on that subject, AI will suggest it as a new topic idea.
This automated approach means businesses can build their content calendars much faster. Instead of spending hours brainstorming 20 blog topics, AI can generate them in minutes.
This is why companies that use AI for content research are able to create 2x more high-performing content than those using manual methods.
Content Creation and Copywriting
Writing high-quality content takes time. From researching and drafting to editing and proofreading, it’s a long process. But AI tools are now making this easier by assisting with content creation.
In an interview, Corey Schafer, SEO Specialist at Florin|Roebig says, “No doubt, AI can’t fully replace human writers. However, it can generate outlines, introductions, and even first drafts of blog posts, social media captions, and product descriptions. And that’s enough.”
For example, an AI tool analyzes a prompt like and produces a detailed outline with headings and bullet”write a blog about content marketing” points.
Source: ChatGPT
It can also create variations of ad copy, product descriptions, and email subject lines, making it easier for marketing teams to test different versions. This approach helps companies save time and produce more content in less time.
However, human editing is still necessary to ensure quality, creativity, and brand tone. AI can generate the structure, but humans add the personal touch that makes the content stand out.
Raviraj Hegde, SVP of Growth, Donorbox, adds, “Many e-commerce companies are already using AI to write product descriptions. Instead of having a person write hundreds of descriptions, AI generates them in minutes. This allows companies to list products faster, launch new collections, and increase sales more quickly.”
Content Scheduling and Publishing
Publishing content at the right time is crucial for getting the most engagement. Instead of guessing the best time to post, AI tools analyze when users are most active online and schedule posts accordingly. This ensures that blog articles, social media posts, and email newsletters go live when they’re most likely to be seen.
AI scheduling tools like Buffer look at user activity and engagement history.
Source: Buffer
If the data shows that most of your audience is active on social media at 6 PM, the AI will automatically schedule your post for that time. This approach leads to more views, likes, and clicks because the content is being published when users are ready to engage with it.
Taylor Morgan, Head of Marketing at Rush Custom Tees, mentions, “AI can schedule posts for an entire week or month in one session. Instead of logging in daily to post content, you can pre-schedule it and let AI handle the rest. This allows marketing teams to focus on strategy and creativity instead of routine tasks.”
Content Personalization and User Segmentation
Personalization has become important in marketing. People are more likely to engage with content that feels relevant to them. AI helps businesses achieve this by personalizing the experience for each user. Instead of showing the same blog, ad, or email to everyone, AI customizes what users see based on their interests, behavior, and past interactions.
E-commerce platforms like Amazon and Netflix have mastered this. Every time you visit their website, AI tracks what you browse, what you click, and what you buy. Based on that data, it recommends products or shows tailored just for you.
Businesses that use AI-driven personalization tools report a 20% increase in customer satisfaction and higher conversion rates.
AI can also personalize email marketing campaigns. Instead of sending one email to every subscriber, AI segments the audience and creates custom messages for different groups.
For example, if a user regularly reads articles about “content marketing tips,” AI will send them blogs, e-books, or offers related to that topic. This personalized approach increases open rates and click-throughs because the content feels more relevant.
Personalization extends to websites as well. Honghao Deng, CEO of Butlr, shares, “AI can change the content on your website based on the user. A first-time visitor might see a “welcome message,” while a returning customer might see personalized product recommendations. This leads to better user engagement, longer browsing sessions, and higher conversion rates.”
SEO Optimization and Content Ranking
Search engines like Google have very specific rules for how content is ranked. To get on the first page of Google, businesses need to optimize their blogs, product pages, and landing pages. This process, known as SEO (Search Engine Optimization), is tedious. But with AI, SEO becomes much faster and more accurate.
AI tools scan the content of a website and identify issues that could hurt search rankings. These tools detect missing meta descriptions, broken links, and poor keyword usage. They also provide recommendations on how to fix these issues.
Per Markus Åkerlund, CEO of MEONUTRITION, explains, “AI tools help with “content scoring.” Before publishing a blog post, the AI analyzes it for SEO best practices, readability, and structure. If the score is low, it recommends changes. This allows companies to make improvements before hitting publish, increasing their chances of ranking on page one of Google.”
Challenges of Using AI to Automate Content Strategies
Here are the challenges you can face.
Irrelevant Topic Suggestions
AI tools often suggest content topics based on popular trends, search engine data, and competitor content. While this looks helpful, the suggested topics aren’t always relevant to a brand’s specific industry or audience.
Instead of offering content ideas that match a company’s goals, AI often recommends trending topics that don’t align with the brand’s focus. This leads to creating content that doesn’t connect with the target audience — resulting in wasted time and effort.
Similar and Repetitive Content
AI tools are great at creating content quickly, but the results often end up looking and sounding the same. Since many companies use the same AI tools, they often receive similar headlines, blog ideas, and even content structures.
This results in multiple blogs, social posts, and product descriptions that all look alike. Dan Close, Founder and CEO of BuyingHomes.com, highlights, “When every brand is publishing the same type of content, it becomes harder for any one company to stand out. Search engines like Google prioritize original content, so repetitive content can hurt your chances of ranking higher.”
Missed Opportunities for New Trends
AI works by analyzing past data and current trends. While this approach works well for established topics, it doesn’t always detect new or emerging trends quickly. This delay can cause businesses to miss valuable opportunities.
If a new trend suddenly becomes popular on social media or within an industry, companies that rely on AI alone may not catch it in time. By the time the AI tool identifies the trend, competitors can have already created content on it, which leaves your business behind.
Personalization Errors
AI is often used to personalize email campaigns, product recommendations, and user experiences on websites. But sometimes, the AI doesn’t get it right. If customer data is incorrect, outdated, or incomplete, the AI can make mistakes in its recommendations.
Best Practices for Using AI in Content Strategy
To avoid these above challenges, follow these practices.
Use AI to Research Trending and Relevant Topics
One of the best ways to use AI in content strategy is for topic discovery. Instead of spending hours brainstorming ideas, you can use AI tools to spot trending and high-demand topics in your industry. AI tools scan search engines, social media platforms, and forums to find what people are currently interested in.
Alex Begum, San Antonio Injury Lawyer at San Antonio Car Accident Lawyers, advises, “Don’t rely on AI alone. Review the suggested topics to ensure they fit your brand, audience, and content goals. AI can suggest popular topics, but they are not always the right fit for your business. Focus on content that adds value and fits with your industry.”
How to do it right.
- Use Semrush or BuzzSumo to generate a list of potential topics.
- Pick topics that fit with your audience’s needs and your brand’s expertise.
- Avoid jumping on every trend. Prioritize quality over quantity.
Use AI to Speed Up First Drafts
AI can produce blogs, captions, and product descriptions, but relying on it to create the final version is risky. AI-generated content often sounds robotic, lacks emotional connection, and misses the human touch.
Instead, use AI for initial drafts or outlines. Let the AI generate a structure, then edit and refine it to fit your brand’s voice.
AI is especially useful for repetitive content like product descriptions, meta descriptions, and email subject lines. Use it to generate multiple versions and pick the best one. But for longer content like blogs, human editing is essential to ensure the tone, storytelling, and creativity stand out.
How to do it right.
- Let AI create outlines, headings, or bullet points for blogs.
- Use AI for routine tasks like product descriptions or SEO tags.
- Always review, edit, and customize AI-generated content to match your brand’s tone.
Segment Your Audience for Personalized Content
Personalized content improves customer connections and boosts engagement. AI can help with this by grouping your audience according to their activities, preferences, and behavior. AI monitors user behavior when they visit your website and suggests deals, blogs, or goods based on their interests, says Martin Seeley, CEO & Senior Sleep Expert at Mattress Next Day.
For example, an e-commerce brand can recommend specific products based on browsing history. For blogs, you can suggest related articles to keep users on your site longer. AI helps identify which groups of users prefer certain types of content, and you can tailor your messaging accordingly.
How to do it right.
- Segment your audience by behavior, interests, and purchase history.
- Use AI-powered tools to recommend personalized products, blog posts, or newsletters.
- Review AI recommendations to ensure they are relevant and don’t feel too invasive.
Plan a Consistent Content Schedule Using AI
Maintaining a regular content schedule is particularly when running email campaigns, blogs, and social media accounts. Gerald Ming, SEO expert at BatikSingapore.com, adds, “You can use Buffer or Hootsuite to help you plan articles for when your audience will be most interested. AI analyzes user behavior rather than relying on guesswork to determine when your followers are most engaged.”
In a single session, you can plan a week or month’s worth of postings using AI scheduling tools. The AI will automatically publish the content for you on the appointed date.
How to do it right.
- Batch-schedule social media posts for the week or month in one go.
- Use AI insights to post at the best times for maximum engagement.
- Review your content calendar to avoid repetitive posts and ensure variety.
Final Thoughts on Using AI to Automate Content Strategies
AI speeds up processes like research, writing, and publishing that make it easier to produce content at scale. But to get organic results, use AI smartly.
Instead of relying on it to do everything, businesses should combine AI’s efficiency with human creativity and oversight. This approach ensures content stays original, engaging, and valuable to the audience.
Plus, AI can help businesses grow faster, stay consistent, and save time on content creation. But it works best as a support tool — not a replacement for human ideas. When you mix AI’s speed with human creativity, you get unique, engaging content that stands out.
