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Digital Content Marketing Blog

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Can you believe it’s already been a year?! It feels like last Christmas just happened but here we are, at the end of 2022 and are about to celebrate again. Not sure if it’s gone by fast for you but it definitely has for us.

The good thing is that it’s time to relax and spend time with our friends and family as we get ready to move into the new year. So from all of us here at Acumen Studio, we want to wish you a Merry Christmas & Happy Holidays!

 

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    AI can be used to generate content, including SEO-optimized content. AI language models, such as GPT-3, can generate human-like text based on a given prompt or set of instructions. This can include generating content that is optimized for specific keywords or phrases.

    However, it is important to note that AI-generated content may not always be of the same quality as content written by a human. While AI can generate text that is coherent and reads well, it may not always fully understand the context or nuances of the topic it is writing about. As a result, the content may not always be completely accurate or relevant.

    Additionally, while AI can generate text that is optimized for specific keywords, it may not always be able to effectively incorporate these keywords in a way that is natural and flows well with the rest of the content. This can be a challenge for SEO, as search engines may penalize content that is overly stuffed with keywords.

    Overall, while AI can be a useful tool for generating content, it is important to carefully review and edit any AI-generated content before publishing it to ensure that it is accurate, relevant, and reads well. It may also be helpful to have a human writer or editor review the content to ensure that it meets the desired quality standards.

     

    If AI struggles to write good SEO Content, then What is the Best Use Case for AI Content Writing?

    The best use case for AI content writing depends on the specific needs and goals of the user. Here are a few potential use cases for AI content writing:

    1. Generating content ideas: AI can be used to generate ideas for content topics based on a specific theme or subject area. This can be helpful for content marketers or writers who are looking for inspiration.
    2. Generating summaries or abstracts: AI can be used to generate summaries or abstracts of longer articles or reports, which can be helpful for providing a quick overview of the content.
    3. Generating placeholder text: AI can be used to generate placeholder text for design mockups or prototypes. This can be helpful for quickly filling in content areas without having to write out full blocks of text.
    4. Generating repetitive or formulaic content: AI can be used to generate repetitive or formulaic content, such as product descriptions or terms and conditions. This can be helpful for saving time and effort when creating large amounts of similar content.

    Overall, the best use case for AI content writing will depend on the specific needs and goals of the user. It may be helpful to experiment with different use cases to determine which works best for your specific needs.

     

    Can AI at least Write Title Tags & Meta Descriptions that are Optimized?

    Yes, AI can be used to write title tags and meta descriptions that are optimized for specific keywords or phrases. AI language models, such as GPT-3, can generate human-like text based on a given prompt or set of instructions, which can include generating optimized title tags and meta descriptions.

    However, it is important to note that AI-generated title tags and meta descriptions may not always be of the same quality as those written by a human. While AI can generate text that is coherent and reads well, it may not always fully understand the context or nuances of the topic it is writing about. As a result, the title tags and meta descriptions may not always be completely accurate or relevant.

    Additionally, while AI can generate title tags and meta descriptions that are optimized for specific keywords, it may not always be able to effectively incorporate these keywords in a way that is natural and flows well with the rest of the content. This can be a challenge for SEO, as search engines may penalize content that is overly stuffed with keywords.

    Overall, while AI can be a useful tool for generating optimized title tags and meta descriptions, it is important to carefully review and edit any AI-generated content before publishing it to ensure that it is accurate, relevant, and reads well. It may also be helpful to have a human writer or editor review the content to ensure that it meets the desired quality standards.

     

    What Do You Recommend as the Best Way to Use AI for Content Creation?

    There are several ways that AI can be used for content creation, and the best way to use AI will depend on the specific needs and goals of the user. Here are a few recommendations for using AI for content creation:

    1. Use AI as a tool to generate ideas or inspiration: AI can be a useful tool for generating ideas or inspiration for content topics. For example, you could use an AI language model to generate a list of potential content ideas based on a specific theme or subject area.
    2. Use AI to generate placeholder or repetitive content: AI can be useful for generating placeholder text or repetitive content, such as product descriptions or terms and conditions. This can save time and effort when creating large amounts of similar content.
    3. Use AI as a starting point, and then edit and refine the content: AI can generate coherent and readable text, but it may not always fully understand the context or nuances of the topic it is writing about. As a result, it is important to carefully review and edit any AI-generated content before publishing it to ensure that it is accurate, relevant, and reads well.
    4. Use AI in conjunction with human writers or editors: AI can be a useful tool for generating content, but it is not a replacement for human writers or editors. Consider using AI to generate content ideas or as a starting point for content, and then have a human writer or editor review and refine the content to ensure that it meets the desired quality standards.

    In conclusion, AI can be a useful tool for generating SEO-optimized content, but it is not a replacement for human writers and editors. While AI can generate coherent and readable text, it may not always fully understand the context or nuances of the topic it is writing about. As a result, it is important to carefully review and edit any AI-generated content before publishing it to ensure that it is accurate, relevant, and reads well. Additionally, while AI can generate text that is optimized for specific keywords, it may not always be able to effectively incorporate these keywords in a way that is natural and flows well with the rest of the content. This can be a challenge for SEO, as search engines may penalize content that is overly stuffed with keywords. Ultimately, the best way to use AI for content creation will depend on the specific needs and goals of the user. It may be helpful to experiment with different use cases to determine which works best for your specific needs.

     

    Now Let’s Break This Down, Non-AI Style!

    The post above used ChatGPT to deliver the words you see in the post copy above. The only thing we did was prompt the AI Chat Agent with Questions and a Single Command.  The H2 headings that you see at the top of this post and the Topic of the blog were all questions asked to ChatGPT and was you see is what we were given.

    You also have the ability to ask these tools to write a post on some topic. In our case we didn’t do that, we prompted it to just answer the questions we wanted answered to see what we got back. And as you can see in the copy above there is a lot of repetition. Some of it is changed slightly, but this highlights some of the issues that currently exist with writing content using AI and especially for SEO written by AI. The last paragraph we prompted ChatGPT to “Summarize a conclusion paragraph for a blog post that is focused on whether or not ai would be good to use for SEO” and it gave us a near verbatim block of copy from one of it’s previous replies.

    So from this content writing experience we think that AI has a bit to go before it can fully write good SEO content, but it’s 100% true that these tools can make it easy to get bulk copy created on topics and then refined. But it still takes a strategic mind and creative eye to make that work well as a finished piece.

    Now let’s see if this post ranks for the term “Can AI Write SEO Content?”, even though we know it’s skewed because everything written in this section came solely from us and our brains not an AI chat bot.

     

    Something else worthy of note regarding this topic is that Google’s Webmaster Guidelines say to NOT use AI generated copy as it falls under their policy that prohibits auto-generated copy being created for SEO purposes. You run the risk of getting a Manual Google Penalty that could strike the page or the entire website from the search engines.

     

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      Google is testing out a new search engine feature on the organic search results called “Quick Read”.  You may have seen it, but it’s very likely you have not since it’s so new. But we as digital marketers find it too interesting not to investigate further and find out what this could mean for user experience and how it impacts SEO. In this article we’re doing just that, defining what Google’s Quick Read is and talking about what it means for you and your company.

       

      What is Google Quick Read?

      Quick Read is a Google Search featured callout placed as a label at the bottom of individual organic search results to signal that the content is a “Quick Read”.

      Like many of the things Google does, they don’t fully explain how they choose which pages will get the Quick Read label or what the criteria is within the content of a page to make it more likely to get the Quick Read designation. But again as digital marketers with a history in the space we can deduce what the most likely factors are and what importance it plays for companies online.

      Google Quick Read Label in Search Results for SEO

      What Factors Get You the Quick Read Label?

      Something that we’ve done for years when it comes to creating content is structure it so that the content can actually be read quickly if a visitor chose to. Even if the content is actually long you can include visual components to a pages copy that make it easier to read and easier to read it quickly.

      So using these elements is a way to give yourself the best chance of getting Google’s Quick Read label.

      Listed here are a number of those structural elements

      • Big & Bold Headlines
      • Big & Bold Sub Headlines
      • Bulleted Lists
      • Numbered Lists
      • Space in Between Elements & Copy Sections
      • Visual Graphics (such as charts)

      By writing like this a reader can easily skim the content and get a cursory understanding of what the content is intended to deliver, which may be enough for the reader, but it also serves as check for that reader so they can decide if they want to read it in-depth to get all of the detail.

       

      What Does “Quick Read” Mean for SEO?

      The reason Google is even using a Quick Read label is because readers have shown a tendency to want quick, short and to the point content. By alerting searchers to content that they can “quickly read” it will increase the number of clicks your page gets in the search results, and since clicks are a factor to ranking higher in the search results you will in turn move up in the search results overall getting you better position, rankings and the most clicks from searchers.

      What we can’t say right now is what content this will most apply to in the future, but it’s likely that it will always apply to content that lives in the “middle”, or content that has the potential for both being long and detailed, but can also be understood and consumed if skimmed. Look, some people want all the details and others want just enough. So content like this will be the best candidate for having the Google Quick Read label applied.

       

      Features like this are tested all the time, some stay some go, but what never changes is a digital marketers need to be investigating them and building a strong foundation for content and SEO. If you are in need of more visibility, traffic and leads then consider reaching out to us here at Acumen.

       

      If You Are Looking to Get More Traffic, Leads or Have Questions, Call Us at 866-357-7422

      Or Submit your information below