TOP 5 neural networks for writing text. Can they help with work or replace copywriters?

Contents:

• What text generative neural networks are capable of
• 5 neural networks that will help you write text
• Comparing neural networks for working with text
• What to choose

What are text generative neural networks capable of?

ChatGPT appeared in the fall of 2022. Even after the neural network's presentation, many were skeptical.

But in 2024, several neural networks are developing at once, competing with each other in creativity when writing marketing texts. Artificial intelligence writes poetry, advertising texts for newsletters, and generates code. And just ten years ago, this was considered unattainable.

But when using neural networks in your work, remember the statement of the writer and philosopher Elbert Hubbard.

Neural networks are actively developing, and improved versions are appearing. But they are just a tool. They cannot do everything instead of real people. And here's why:

• Unreliable information.Neural networks do not always provide accurate information. If the database does not have enough data, AI may invent information. The tool will rely on sources that are similar in context. This effect is called "hallucination" and is somewhat similar to how search engines work. If a search engine cannot find an exact match for a four-word keyword, it returns results pages that contain only two or three words. Therefore, the text needs to be checked for authenticity.

• Biased answers.Sometimes the generated text is biased towards certain people or events. This happens because the answers are based on published articles on the internet. For example, an article in the tabloids. The results must be treated critically and double-checked;
• Incorrect wording. The creators have fixed this issue. Recently, the text has become cleaner, without typos and punctuation errors. But there are still semantic errors, incorrect word declensions, and tautologies;
• The result is not on the first try. The neural network is like a black box. When you enter a prompt, it is impossible to guess what the output will be. Sometimes you have to change the task many times to achieve the result. For example, asking to write the text one paragraph at a time;

• Meaningless content.The main limitation is that neural networks do not yet produce deep, meaningful content. For example, ChatGPT is suitable for social networks and is often used by SMM managers. This is because the texts for social networks are short. When generating a small volume, artificial intelligence does not get confused in the wording.

But there are also advantages. Neural networks automate and speed up text creation.

• They help overcome the "fear of a blank page".When it's hard to get started, artificial intelligence is an excellent idea generator. Ask a question and get solutions that can be developed;
• They provide structure. Automatically creating an outline with headings and short section outlines saves a lot of time. Especially when working with an unfamiliar topic. The outline will tell you what information to look for;
• Simplify research.Neural networks collect facts and provide links to sources. But the data still needs to be verified;
• Create a brief.It is enough to briefly outline the essence. A completed brief helps to better understand the task and obtain a clear text for a specific audience;
• aria-level="1">They write meta tags, title, and description.Neural networks make a summary of long texts. Tags with short descriptions are also no problem for them. This way, artificial intelligence reduces the routine work of content managers and SEO specialists;
• They change the tone of the letter.They will adjust the text to the brand's voice in a few seconds;
• They do rewriting.The neural network will rewrite a blog article into a script for YouTube or an email for a newsletter. Splits text into several parts for a post or storytelling on social networks;
• Analyzes the text and adds keywords.AI creates an SEO article from scratch or organically fits keywords into the text.

5 neural networks that will help you write text

There is no leader among neural networks; each tool has its own features and advantages. Therefore, in addition to the description, the editors of Skillbox.by analyzed popular tools.

No.1. OpenAI ChatGPT

ChatGPT is a chatbot with artificial intelligence. GPT stands for Generative Pre-trained Transformer. The most popular technology, based on which many teams create their projects. For example, Yandex GPT.

Working with the neural network occurs in a dialog box. The interface resembles a messenger or interactive chats on websites. Only GPT has more capabilities:

• Maintains a conversation, remembering the context of messages and responses;
• Writes text blocks on any topic: from scientific articles to posts on social networks;
• Creates scripts for plays, films, computer games;
• Writes program code in any programming language;
• Writes poetry and song lyrics;
• Performs financial analysis;
• Gives advice: from planning your day to choosing an outfit for a party.

GPT communicates in all languages ​​​​that are publicly available online and in electronic archives. But he has mastered English and Spanish thoroughly. In other languages, he is less able to conduct a dialogue and generate content.

Pros

✅ Understands natural speech, remembers the context and maintains a dialogue;

✅ Writes blocks of text and short articles, posts for social networks and letters for email newsletters. Translates texts, checks style and purity;

✅ Analyzes and systematizes data. If necessary, writes code or adds information to a table, prepares illustrations;

✅ Goes online to search for facts and the latest information, provides links to sources. But you need to specify the requirement for this in the prompt.

✅ Suitable for various professions whose work is related to text, information search and creativity. For example, screenwriters, marketers, copywriters and designers.

Cons

❌ Makes semantic errors. The problem has become less noticeable after updates, but it still exists;

❌ Does not understand the essence of the question and generates text that is far from the topic. The neural network often produces template answers;

№ 2. Jasper AI

According to the developers, Jasper is an AI assistant for marketing teams. The service helps create, adapt to specific tasks, and publish content for advertising campaigns faster.

Like ChatGPT, Jasper is a universal platform. The difference is that Jasper is tailored for marketers and copywriters. It's suitable for writing short posts and blocks of text. It can do native translation and change the writing style. It also has additional tools:

• AI-powered chatbot builderfor websites, messengers, and mobile apps. Jasper can't completely replace a human, but it handles non-standard situations better than a regular bot. For example, it provides sources with product instructions or helps choose a payment method;
• Reporting system.Displays the history of communication with the client, reports on projects in progress;
• Built-in capabilities for working with images: analysis, generation;
• Collaboration environment for teams— participants can be connected via e-mail address;
• Content topic analysis. Jasper will sort content by topic if you need to quickly process a large volume of social media messages or blog articles. It will distinguish entertainment from science or sports.

Pros

✅ Jasper is ChatGPT, only configured for marketing and business;

✅ Simple interaction: you can set tasks in simple language, including Russian. There are hints and additional features;

✅ Fine-tuning improves quality. You can achieve the desired format faster. Sometimes it works the first time;

✅ Jasper AI analyzes the "brand voice" and adheres to it in all publications.

Cons

❌ The tool is paid. There is a seven-day trial version to understand the interface and evaluate the capabilities of Jasper AI;

❌ The service was originally created for businesses and large marketing teams. Therefore, AI is not suitable for other tasks, such as writing code.

❌ Limited number of languages.

❌ Integration with third-party services is limited.

№ 3. Copy AI

Another copilot AI for marketers and copywriters. It resembles Jasper in interface and capabilities. It also offers a collaborative environment, supports "brand voice" and can create chatbots. 

But it's more geared toward sales. The service even offers a separate "Sales Operating System."

Two generation modes are available: by text query and through an assistant. In the second mode, you start a paragraph, and artificial intelligence continues it if necessary. To do this, simply press the Tab key anywhere.

Pros

✅ You can choose between GPT and Claude models;

✅ Simple chatbot interface. English: Additional settings are available in one click;

✅ Get a suitable structure for a commercial blog or advertising article the first time;

✅ All data is processed within the platform and is not used to train the neural network. Data leakage is excluded;

✅ Two modes: generating articles on prompt and a text writing assistant;

✅ Suitable for searching for information, generating ideas, writing articles and advertising texts.

❌ Cons:the tool is paid. Only 2,000 characters are available for free with no time limits. You need to buy a subscription for $49 per month or $39 if you pay annually.

No. 4. Writesonic

This is not a separate tool, but a platform that combines access to several neural networks. The list includes GPT, Claude, Gemini.

WriteSonic includes two tools:

• ChatSonic — a familiar AI chat for working with text;
• Boot-Sonic— a tool for creating and customizing bots.

Many ready-made templates and prompts: translation, article writing, rewriting, SEO, content search and review, humanization of articles. At the same time, flexible settings are available, which improves the quality of generation.

Two modes are available:

• Generation on demand.You can also choose one of the templates and set the tone of the narrative:
• Assistant.Will continue a sentence or complete a paragraph, following your writing style.

Pros:

✅ Writes and edits articles, changes tone of voice, generates ideas, rewrites and translates text;

✅ Works with GPT, Claude, Gemini text models;

✅ Supports any commonly available languages;

✅ Has a built-in text editor with the ability to customize the font, paragraphs;

✅ Supports built-in anti-plagiarism - checks uniqueness in one click.

❌ Cons: The quality is similar to GPT, Gemini, and Claude. But the service is paid - from $16 per month.

Writesonic works on the "all-in-one" principle. Like other services, it is useful at different stages of a project.

The neural network is configured to produce deeply researched articles. Therefore, the tool is used by many teams and large companies. For example, Next, Benq, Honeywell, Rakuten, Vodafone, Roche, Visa.

No. 5. Rytr

As stated in the service description, this is an AI text generator and text assistant. In terms of capabilities, the application is similar to previous tools. However, the creators worked hard on the interface and usability. It's one of the most intuitive AI tools for marketers, writers, and journalists. That's why it's used by major companies like Dell, Ford, Pfizer, and Payoneer.

Features

• Creating a brand voice.You can upload files with text or add links;
• Chatbot.Auto-generation of text upon prompt;
• Text assistant.Convenient workspace with the ability to format fonts and paragraphs. Continues the article, rewrites the paragraph, corrects the tone.

Pros

✅ Intuitive interface;

✅ Text assistant will analyze the tone of your brand's voice and repeat it;

✅ Customize the tone, content format, and creativity level;

✅ Templates: in addition to standard writing of posts and articles for blogs, the following modes are available: poetry, video scripts, song lyrics, landing pages, and other formats;

✅ Convenient text editor. You can customize paragraphs, font size, highlight text colors, add images;

✅ Free version without time limits. 10,000 characters available monthly. Paid plan with unlimited AI text from $7.5.

❌ Cons: The list of languages ​​is limited. In addition to English, the list includes Russian, Polish, Ukrainian, German, and Lithuanian. There are also Turkish, Thai, Chinese, Vietnamese and Malay.

Comparing neural networks for working with text

What to choose

Neural networks do not end with ChatGPT. Dozens of projects are developing in parallel. We have described the tools that are suitable for working with Russian-language content. Each has its own features and advantages.

For example, ChatGPT offers powerful features and flexibility, Jasper and WriteSonic are optimized for marketing. Copy AI is easy to use, and Rytr is appealing due to its accessibility and multilingual support. Choose the neural network that best suits your business needs. And try out different tools, as all offer free trials without linking a credit card.