Main types of content for generative AI

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Joyzfsk75
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Main types of content for generative AI

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As AI takes over more and more manual content production tasks , it’s a good idea for marketers to understand the different types of AI-generated content out there and which ones benefit the most from them.

These tools can help us produce high-quality content that is engaging for audiences and on-brand. In this article, we will explore the main types of AI-generated content in marketing.

By leveraging these types of content, you can elevate your content strategy female database and gain a competitive advantage in the marketplace.

To help with understanding, we pulled data from HubSpot’s State of AI survey to uncover the top types of AI-generated content in marketing for 2023.

The following are statistics drawn from over 1,350 US marketing professionals, specifically those who already leverage AI in their roles.



►1. Social media posts (58%)

The most popular use case for marketers leveraging AI to create content is for social media posts, and for good reason. Social media marketers have to create content that they hope their audience will enjoy, and using a content assistant makes managing a social media calendar that much easier.

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Marketers can use AI for social media posts:

Content creation: AI tools can help generate content ideas, suggest topics, and even write titles for social media posts. In fact, 35% of surveyed specialists use AI to get ideas or inspiration.

Scheduling and posting: AI-powered social media scheduling tools can help you automatically post your content at the most effective times and even optimize it for specific social media platforms.

Audience analytics: AI can help you better understand your audience through data analysis. This information can be used to create more effective and relevant social media posts.

►2. Product descriptions (50%)

50% of marketers using generative AI say the technology is useful for product descriptions.

It can be challenging to find the words to describe new products , especially when you’re selling to an audience that doesn’t know the terminology as well as your team.

Marketers can use AI to not only accurately explain a product’s functionality and features, but also to explain these concepts in a way that’s accessible and clear to the general public.

►3. Emails (43%)

43% of marketers who regularly use AI find it useful for email marketing.

If grabbing your customer's attention through the subject line of your email is a challenge in itself, getting them to click open is even more difficult.

With the help of AI, marketers can improve their strategy by:

Timing optimization: AI tools can suggest the best time of day and day of the week to send a particular email based on when the recipient is most likely to engage with it. This improves open rates, click-through rates (CTR), and conversions.

Subject line generation: Artificial Intelligence can generate effective and engaging subject lines by analyzing previous email campaigns and subject line performance. If these tools can create compelling subjects, open rates could increase.

A/B Testing: AI can be used to conduct A/B testing , where two different versions of the same email are sent to a random portion of the audience and the performance is measured. Based on the results of this test, the best performing email variant is sent to the rest of the audience to maximize metrics.
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