Writing text with AI: Creating automated content that ranks

To be visible on the web, companies cannot avoid a sophisticated content marketing strategy. In practice, this means that they must regularly create content for various channels such as blog, social media and PR. However, creating high-quality content is time-consuming and therefore expensive. More and more companies are therefore having texts written by an AI. However, in order to rank on Google and attract user attention with this content, it is not enough to just enter some ideas into an AI text generator. We show you step by step how to create content with your company from an AI text that satisfies both search engine and users.

AI Text Definition

ki text definition

An AI text is a text created by an Artificial intelligence that users create via an AI text generator. This can be blog posts, product texts or social posts, for example. Until a few years ago, AI text generators could only create simple sentences and short texts. Moreover, the quality of these was so low that the content could not help the content creation process. This was because: AI often made grammatical errors and had difficulty generating contextual and coherent texts.

Since then, AI text generators have evolved significantly.

AI text generators use machine learning and Large Language Models (LLM) to improve natural language processing and text generation.

Today, they can produce complex and coherent texts that resemble human writing style. They can also mimic certain styles and tonalities, which makes them useful for various applications such as content creation, translation, and even creative writing projects.

AI text writing: How does it work?

An AI text tool uses Machine Learning and natural language processing (NLP) to create texts independently. In the process, the AI collects and analyzes large amounts of text data. The AI models are then trained to recognize patterns and relationships in the data. During training, the models adapt by changing parameters to improve results. They learn to understand text, recognize context, and generate appropriate expressions.

In practice, it looks like this: A user enters text in the form of a question or command ("prompt") into an AI generator. The AI uses its language model to generate an answer based on previous training and the input text. The model then suggests words and phrases based on probabilities to help the user. With feedback and new training data entered by the user, the AI's performance improves with each draft.

These are the types of texts AI can write

AI text generation, AI text analysis, AI text correction: The available AI models have numerous functions with which companies can edit their content. So far, however, these functions have been limited to certain types of text. What are they? And what do AI text tools do well and less well in this regard? The following insight will help you choose the right content type for automated text production:

News article

AI can produce accurate and objective news reports. To do this, it processes large amounts of data and provides up-to-date information from it. AI text generators have difficulty interpreting complex events and capturing subtle nuances.

Product descriptions

AI can create detailed and consistent descriptions of products. It can highlight certain features and provide technical information. It has not yet mastered emotional appeal and creative sales arguments so well.

Annual Reports

AI can analyze data and summarize key financial figures. For the entrepreneurial practice this means: It can recognize patterns and trends in company data. However, it cannot (yet) make strategic decisions or develop complex corporate strategies.

Blog posts

AI can create informative and well-structured blog posts. To do this, it is able to gather relevant information and prepare it in a given structure. AI has problems expressing personal opinions and capturing the individual voice of an author.

Social media

AI can generate content for social media channels such as Facebook and LinkedIn. It is able to pick up on the tone of the target group and formulate a post accordingly.

Scientific work

AI can produce accurate and factual summaries of research findings. To do this, it can analyze extensive data and identify trends. This is especially helpful for companies that need to evaluate studies for their product. An AI text tool has difficulty producing original research and critical thinking.

AI cannot (yet) write these text types

AI may have difficulty writing text in specific, different domains:

Legal texts

AI cannot write legal documents that require legal reasoning and interpretation. This is because: legal systems follow their own complex logic. AI may therefore misinterpret or draw inaccurate conclusions, as it may not fully grasp the subtle nuances of the law.

Companies in the legal sector, such as law firms, courts and legal tech companies, can therefore only rely to a limited extent on an AI text generator like ChatGPT or Japser.

The only difference is with AI models that focus on legal subject areas. These can draft legal letters such as contracts or expert opinions.

Medical texts

AI can have trouble explaining complex medical concepts and terminology accurately. It often overlooks important medical details or interprets them incorrectly. This can lead to incorrect diagnoses. Practices, hospitals and other medical providers can therefore use copywriting tools only to a limited extent.

Humorous texts

Companies that use humor in marketing and advertising have a hard time using AI text tools. AI often has difficulty understanding humor and subtle nuances of jokes and irony and responding accordingly. This is because: it often cannot fully grasp the emotional component and context of humorous situations.

Creative content

AI has trouble generating original ideas because it cannot replicate human experience, imagination, and creativity. Content marketers who are particularly creative in storytelling, for example, therefore cannot use texts written by an AI. This also applies to creative scripts and scripts of audio and video content.

Ethics and moral dilemmas

AI struggles to understand complex ethical issues and make appropriate moral judgments. In doing so, it proposes inadequate or problematic solutions because it lacks a comprehensive moral foundation or personal values.

ki text benefits

Benefits of AI Text

Companies that use AI to write, rewrite, abbreviate, and summarize texts thus benefit:

Time saving

AI-generated text allows businesses to generate original content quickly and efficiently by automatically creating text - without human writers having to spend hours researching and writing.

Scalability

Artificial intelligence can create large amounts of content for companies in the shortest possible time and thus increase their reach and presence on various channels.

Consistency

An AI that writes texts delivers consistent and uniform brand communication because it is based on predefined rules and data. This ensures that the company's messages and tone are consistent across all texts.

Personalization

An AI text writer can create unique content for businesses based on the individual needs and preferences of their customers. This enables stronger customer engagement and a better customer experience.

Cost savings

AI for text can lead to significant cost savings, as companies need to spend fewer resources on manual content creation. After all, AI-generated texts are often more cost-effective than hiring writers or agencies.

Data-driven insights

A KI text analysis gives companies valuable insights into the behavior and preferences of their customers. By analyzing texts and the data behind them, companies can measure and optimize the effectiveness of their content to achieve better results.

Multilingual skills

Artificial intelligence can write texts in different languages. This helps companies to be present not only in German in the DACH region, but also in global markets and to communicate with a broader target group.

AI Text Writing: Challenges and Dangers

The benefits of computer-generated content are therefore obvious. At the same time, however, the technology presents companies with a number of challenges:

Lack of authenticity of AI text

Especially in longer texts written by an AI, there is sometimes an impersonal and machine-like tone that is perceived by customers as impersonal or fake. This damages customer loyalty and the brand image.

Responsibility and ethical concerns

AI texts can reproduce unintended bias or discriminatory content when trained with data containing such patterns.

Lack of adaptability of AI text

AI tools may have difficulty adapting to specific customer needs or cultural differences. This can lead to inadequate or inappropriate content.

Quality assurance

Depending on the tool, text type, and input/command used, the quality of AI content varies enormously. Companies therefore need to pay special attention to quality control to ensure that engaging content meets corporate standards and serves the desired purpose.

Copyrights and plagiarism

It happens again that AI text generators create sentences or paragraphs that are almost identical to already existing content. This brings with it the risk of copyright infringement.

AI Text Generators

Even before the ChatGPT AI text generator, there were AI models that companies could use to generate content automatically. However, since the launch of ChatGPT, there has been a flood of vendors in the market. These include, for example, these 3 open source platforms:

Hugging Face Transformers

  • Advantages: Useful tool with versatile pre-trained models for fast text generation, active developer community, open source
  • Cons: Steep learning curve for beginners, limited support compared to commercial providers.
  • Prices: Depending on usage, Open source with paid hosting option

NLTK (Natural Language Toolkit)

  • Advantages: Open source library for text processing and unique text analysis, widely used and well documented.
  • Disadvantages: Requires programming knowledge to use, less advanced AI features
  • Prices: Free and Open source

Text GenRNN

  • Pros: Easy to use, good for creative, plagiarism-free content
  • Disadvantages: Limited use cases, limited control over the generated texts.
  • Prices: Open source project with MIT license, no direct costs, but possibly costs for hosting infrastructure
ki text instruction

10 steps to a convincing AI text

The text that an AI spits out is just one step in content generation. To create high-quality content for your business that ranks on the first page of Google and engages readers, you need a total of 10 steps:

  1. Research and keyword analysis

    Conduct thorough research on your target group and the relevant topics. What does the competition already cover? What is missing and therefore has potential? Use keyword tools to uncover the most relevant search terms. In doing so, focus primarily on keywords that the competition does not sufficiently cover in Google's top 10.

  2. Select AI Text Generator

    Choose an AI text generator that suits your company's needs, is based on natural language processing and can generate high-quality content.

  3. Prepare training data

    Ensure that training data, such as in the form of information about the topic, instructions, and details about text type, length, tone, and audience, is high-quality, comprehensive, and relevant to the topic.

  4. Customize AI model

    Depending on the generator, you can additionally customize it via various options so that it better suits the pursued purpose. For example, this can be the selection of a specific writing style (SEO-optimized, personal, professional, etc.).

  5. Generate text

    Now let the AI write a first draft.

  6. Readjustment

    If the first draft is barely usable, they readjust it with more commands and information.

  7. Revise text extensively

    Now comes the most important part: Revise AI-generated content so that it matches your target group, has your verbal identity, doesn't sound "robotic" and contains the keywords you researched beforehand.

  8. Add heading structure

    Incorporate a clean heading structure (H1, H2, etc.) into the text. This is especially true for blog posts and website texts. This is the only way Google will recognize your content as relevant.

  9. Add images and videos (optional)

    To make the content more structured and thus easier to consume, add images and - if available - videos.

  10. Final review

    Evaluate the overall result for relevance, added value, quality, and accuracy. If necessary, give the text a final polish.

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Jan Schäfer Avatar

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