Ideas to improve your content using artificial intelligence

 

Ideas to improve your content using artificial intelligence
Ideas to improve your content using artificial intelligence

A few months ago, the business planning company Casual took a bold step: The site's content production team extracted a list of 1,800 ideas for articles from a competitor's site, and then employed artificial intelligence tools in the mass creation of articles based on this list.

The team was not impressed with the impressive results of the first period, because this content written in artificial intelligence in bulk quickly affected the ranking of their site and returned it to a lower level than before the beginning of the process.

This  story  is not the only one in the history of the employment of artificial intelligence tools, since it appeared on the field of open use to the public, these tools attracted the attention of many types of users; She helped some of them double their productivity and threw many of them into an abyss that destroyed long years of work for misunderstanding and misuse.

 

Table of contents:

1.       Do artificial intelligence tools sing about experts?

2.       Common Mistakes in AI Content Writing

3.       Strategies to use artificial intelligence to improve your content

 

Can artificial intelligence tools be replaced by specialized experts?

New users of AI tools tend to overestimate the capabilities of these tools to perform tasks, and this may be due to their desire to accomplish some tasks more quickly or reduce expenses by using them instead of experts and specialists, and this is common in the field of content writing specifically.

Although AI content writing aids have been around for many years, in conjunction with their recent popularity among general users through many free services such as; ChatGPT presented by OpenAI and its counterparts Gemini and Copilot from Google and Microsoft respectively, also spread misunderstandings of the way it is used in different areas of work.

This misunderstanding is especially common among those who use these tools instead of experts and specialists in the field, without having the experience to form a decision about whether what these tools produce is accurate and of high quality or not, or whether the tool itself is suitable for what it tries to do or not.

But a correct understanding of how these tools work corrects this misconception; Ultimately, they are just tools, no matter how much they can shorten some steps or speed up some processes. Whether in writing, design, or otherwise, it cannot offer a complete product ready for use.

Over-reliance on AI tools without recourse to domain experts or the revision and auditing of what they produce may lead to numerous errors, such as the story of a programmer who used code from an AI tool without revision, leading him to wipe the entire database of the site. Therefore, relying on an expert and always appealing to specialists is essential, no matter how satisfactory the cost reduction or productivity acceleration.

 

Common Mistakes in AI Content Writing

The most important thing you need to know about the use of AI tools in the field of content writing is that these tools are limited to what they have been trained for, which is written content on the Internet. From this stems many problems that lead to common errors among users:

·         Use it as a reliable source of information

Artificial intelligence tools have two basic qualities that contribute to being an unreliable source of information. The first; It relies on online content for training, which means that the information it will respond to is limited by the information on the Internet, many of which - even those published by well-meaning humans - are confused, mistaken, and misleading.

The second and most important point is that these tools "hallucinate" in response to questions whose answers you don't "know." The two preceding words were put between quotation marks because getting into their technical details is a complex subject, but in short, they perfectly express what is happening.

When you ask one of these tools about something, it's very difficult to get an answer "I don't know" or "I can't answer" except in rare cases because of copyright. In general cases, these tools respond regardless of whether their response is correct or not, and sometimes "compose" an answer that is not based on reality.

For example, try asking for a poetry house for a poet who doesn't exist, and you'll see that the tool "invented" a poetry house from there.

Of course, when you ask a question that you know the answer to, knowing what's wrong is easy, but keep in mind that this can happen without you often knowing. Hence the importance of using specialists to verify or even revise what these tools offer.

·         Hire her for what she doesn't fit.

Although artificial intelligence tools are capable of carrying out many tasks, but they are suitable for serious use only in a few of them, and most of these tools specialties cannot compete with other tools, because of the focus of their owners on improving performance for a specific purpose and training the tool to suit this purpose.

For example, DeepL's translation tool is based on artificial intelligence, but it focuses entirely on translation in contrast to ChatGPT's non-specialized, but translation-capable tool. The quality of translation between the two tools is radically different and the best of course is the specialized tool.

In this example, the meaning may reach you from the two translations, but the first translation is better, more linguistically accurate and more appropriate to formulate sentences in Arabic than the second, and this is what you need if you want to use it in the content of your site or blog, for example.

This applies to all other areas, the more specialized the tool is able to provide valid results. Some tools specialize in search engine configuration, others in article formatting, and some in proofreading. You should use as many as you need. So, where does AI fit into the content industry for your site or blog?

 

How to Use Artificial Intelligence to Improve Your Content

The best ways to exploit AI in content is to reproduce, refine, optimize, and eliminate monotonous steps in the content production process. Especially in Arabic, it will be better to present your pre-existing content to the tool, and ask some tasks from it based on this content.

This goes beyond the previous problem of information reliability, it will not give you new information, it will depend on what you give it. As for linguistic correctness, auditing and editing, this requires an expert in the field of auditing to audit and edit the content produced by the tool.

1.       Social Media Publications Industry

Many digital entrepreneurs separate blog content marketing strategy from social media content strategy, but in reality many of the content ideas found in blogs can be exploited to create content suitable for social media platforms.

Here the star of AI tools shines, they are easily able to rework the content already existing and mold it to the standards of each platform, you can use commands such as "Convert this article to a group of tweets on X" or "Give me ideas to convert this text to Instagram post."

Note that the posts still need to be revised and audited to confirm the information, but the tool provided an excellent push to get started. Then you can hire an expert in writing social media content to adjust and improve the content if you are not able to do it yourself.

 

2.       Improved landing page structure

Landing pages combine structuring and crafting content to deliver the best possible user experience with a focus on increasing conversion rates, but what AI tools can contribute to improving is the structure of the pages themselves and crafting their content.

You can use artificial intelligence tools to create many texts for use in A/B tests, and you can ask to structure the landing page based on the specifications of the product or service you sell, and this makes it easier for you to design the page.

It is enough to provide artificial intelligence with the most important points about your service or product accompanied by a request "Help me make a landing page suitable for this service in my personal site with the identification of each section and how to distribute the elements on the page" and it will arrange the elements and structure them in the form of sections for a landing page.

Note that AI has divided content into several sections as they usually appear on landing pages, and has provided text explaining what can be included in each section. Although some of these sections are general and you may not need some of them on your page very often, they are a good start to page building and give you a good idea of what you can design.

3.       Crafting attractive, highly converting titles

Writing article titles is one of the tasks where experimentation and continuous improvement is necessary to reach the best wording of the titles, the goal of this experimentation is to find out which titles are able to convert the researcher from the results page to the site through A/B. tests. This may be related to the keywords in the article, but it is also related to the wording and presentation of the text.

So it's best to have multiple headlines to choose from, each one's experience and impact on the page's performance and ability to attract readers. AI tools offer a shortcut for digital business owners by offering a wide range of titles in moments, most of which may not be suitable for direct use, but with revision, scrutiny and possibly change altogether, some of them can be adopted in experiments and tests.

Similar results can be obtained by requesting "Write me ten titles suitable for this article and compatible with search engine configuration standards." But note again that many of these titles may not work, but they are a good starting point for choosing, refining, modifying, and then experimenting with the best.

 

4.       Summarizing content ideas

Many news websites and magazines offer a section at the beginning of the article or news summarizing the quick simple points, most of which in fact resort to writing this section with artificial intelligence. This section helps the user to know what will pass in the article or news, and also helps search engines to archive correctly.

Keep in mind that this section is a two-edged sword, because on the one hand it will help you improve the user experience and may contribute to improved archiving in search engines, but it may also contribute to the exit of the user from the site more quickly - because he got the information he is looking for directly - and this may increase the bounce rate.

Not enough studies have yet been conducted on the impact of this section and cut whether it is negative or positive on the site, but the use of many of the major sites indicates that its overall impact is positive in my opinion.

You can get similar results by using the "Summarize Quick Points" command. This is an example of an article in a five-page blog that asked AI to shorten a section of it.

Note that the resulting summarized content is not usable as it is, and has stiff formulas and some incomplete or duplicate information, so it is necessary to rely on the skill of a specialist in writing content to adjust the content before using it.

 

In the end

 the successful use of AI tools depends entirely on the expert tracker on their content, he is the one who can take the actual decision and modify and revise the content to suit each case. So if you intend to use these tools in your future projects, do not rely on their output as it is, but verify and modify it, or hire an expert who can work on revising these results.

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