Writing an editorial plan using artificial intelligence is indeed possible. Artificial intelligence tools dedicated to content production save time and can be very useful for those who work in content marketing, even in the non-profit sector. Especially when it is necessary to produce as much content as possible, create social posts and blog articles, or for a website periodically, using the most trending keywords. If you deal with communication for an association or an NGO, you likely find yourself in this situation, and artificial intelligence may seem like a quick solution to the lack of time and ideas.
This can be largely true, but software based on artificial intelligence and machine learning should be used wisely and with awareness, adapting it to the context in which one is moving and the objectives one wishes to achieve. In this sense, a crucial aspect is the phase preceding content creation. Despite the sophistication of AI software, it tends to generate generic, non-personalised texts devoid of a distinct style. Conversely, individuals who possess in-depth knowledge of a subject can distinguish themselves through the uniqueness of their voice and expertise. This is precisely what both Google and users value and prioritise today.
Writing an editorial plan with artificial intelligence, is it possible?
Let’s immediately clarify that artificial intelligence cannot build an editorial plan as a whole. Instead, it can help you write down the different parts that compose it. We did a test by asking ChatGPT to write an editorial plan for a voluntary association that works to protect sea turtles in the Adriatic.
The bot returned a bulleted list containing ideas for the creation of various contents, from the presentation of the association to the story of the volunteers’ experiences, from the focus on events to collaborations and partnerships. It is not a useless answer, as well as being certainly relevant, but it is not an editorial plan. To write an editorial plan using artificial intelligence, you need to refine the questions by breaking them down into different parts, starting with the choice of topics.
Editorial plan choosing topics with artificial intelligence
The first step in drawing up an editorial plan is the choice of topics. This step can be complex and require a lot of time and energy, especially when you find yourself structuring an editorial plan full of content. Tools such as Google Search, Google Trends, and Google Analytics already represent an excellent starting point for identifying the most trending topics of the moment.
Artificial intelligence software allows you to go a step further by identifying additional topics related to the main theme, different points of view, and relevant questions. Artificial intelligence, therefore, enriches and broadens the range of themes from which to take inspiration to create an editorial plan. Obviously, it is then up to the marketing manager to select the best ones and “arrange” them in a sensible way within the calendar, as well as placing them on the different media and channels used (social media, blog, website, etc.).
What AI can essentially do to facilitate (and improve) the writing of an editorial plan is to broaden and deepen the range of content, also suggesting which ones are most sought after by users. In fact, when you know a topic well, it is not always easy to put yourself in the perspective of someone who is approaching that topic for the first time. Artificial intelligence can help in this “shift” of point of view.
The ladder
A good editorial plan involves dividing the topics into sub-topics, perhaps – as we mentioned previously – to be expressed on the different channels. For example, if the topic is artificial intelligence, it may be useful to create an in-depth article for the blog, a video for YouTube that offers practical examples, a post for Instagram with an infographic showing data on the use of software of AI over time, and so on. Artificial intelligence can suggest new ideas on detailed sub-topics and their succession, always taking into account the needs of search engines (therefore from an SEO perspective).
The final goal is to offer its users an exhaustive treatment of the topic. For example, returning to the non-profit sector, artificial intelligence can help content creators navigate a complex topic such as the Third Sector Reform or the regulations relating to deductions and deductions about donations and crowdfunding. Whatever the topic, tools like Chat GPT and equivalents do not create an editorial plan alone but allow you to save time and obtain a better result.
Let’s think of a crowdfunding campaign: the risk is that of getting lost in a multiplicity of messages or, on the contrary, of not providing adequately in-depth information. With artificial intelligence, even personal fundraisers can create their own editorial plan by drawing on a variety of ideas and organising the different contents in a logical and captivating way.
The organisation of materials for the editorial plan with artificial intelligence
Using artificial intelligence, the number of materials and sources to be used to build an editorial plan and its contents can be expanded. AI software, in fact, is obviously capable of probing and analysing a very large number of contents in a very short time, extracting relevant texts, videos, and audio. In this way, you do not waste time reading and viewing many materials of which in the end you will only use a small part. In practice, artificial intelligence can be used to spool texts, videos, and films, create summaries, and summarize long and complex texts in bulleted lists.
In short, it carries out a long preliminary work which would take up a lot of time, allowing you to concentrate only on the most interesting content. As we know, AI can then be used to spread the contents themselves, from blog articles to social media posts, through the creation of images, audio, and video. If desired, any material can now be produced using artificial intelligence, but its use in the previous phase is particularly interesting, as we are now seeing for the development of the editorial plan.
Metadata
Another very interesting use of artificial intelligence in creating an editorial plan concerns metadata. AI software can in fact suggest, based on a topic or content, the relevant metadata: meta title, meta description, tag. Everything is needed to make content more understandable to search engines and to facilitate users’ search for content on the web. Furthermore, AI software can create all messages for sharing content, for example, instant messaging, newsletters, and social media.
In conclusion, artificial intelligence is a useful ally when it comes to writing an editorial plan and, more generally, it represents a good starting point for those involved in content marketing, even in the non-profit sector. An additional tool available to create increasingly effective content and spread your message to an increasingly wider audience.
What tools to use?
ChatGPT, the most famous content writing software based on artificial intelligence, has been usable again for a few days also from Italy, after the stop by the Privacy Guarantor. Open AI, in fact, has agreed to adapt to European legislation on the matter. Alternatively, however, there are many other almost equivalent, or in any case very similar, software that also lend themselves to the drafting of an editorial plan.
We mention, among many others, contents.com, copy.ai, jasper, narrator, and murf for video and audio, and photo for images. Most of these tools include a free trial followed by the activation of a subscription. The use is extremely intuitive: essentially, you type a question and the bot returns an answer in a very short time.
