5 non-obvious neural networks for optimizing texts in Russian
Precedence Research specialists noted that in 2023 the volume of the global AI market is assessed at 538.13 billion dollars. But with a projected growth rate of 19%, this figure could increase to 2.575 trillion by 2032.
A positive trend was also shown in Gertner – in a survey of 2,500 organizations, 68% of managers put the benefits of neural networks above the risk of using them.
Therefore, it is not surprising that AI is becoming an integral part of almost every digital profession, especially copywriting. We will discuss in more detail which neural services are best suited for optimizing text content in this article.
How AI helps optimize text
Unlike synonymizers, which simply replace words with synonyms, text AIs work with natural language through built-in machine learning algorithms.
They receive data from electronic versions of books, encyclopedias, articles, advertising materials and other types of text content. In this case, everything is taken into account: patterns, structure, vocabulary and even the “mood” of the source code – this is how neural networks identify patterns, connections and hidden meanings of the text.
This mechanism provides a deep understanding of the syntax, context and semantics of the material, and also helps to capture the subtle nuances of language and writing style, so neural networks can create a unique text landscape even through a simple command or prompt.
Moreover, AI can track the emotional background of the text and determine the feelings that the content evokes in readers.
All this makes neural networks excellent text optimizers, in particular for the following tasks:
Finalization of the finished structure and logic of the material;
Generation of headings, subheadings and meta tags;
Implementation of SEO words or phrases;
Preparation of high-quality rewriting;
Replacing the emotional background (sarcasm, irony, humor, etc.) or the style of the original text (for example, from scientific to colloquial);
Editing semantic, grammatical and other types of errors;
Adapting content for a specific audience and much more.
However, not every AI has all this functionality. For example, a text editing service does not always know how to create advertising content, perform SEO optimization, etc.
But there are neural networks that carry out complex text processing in several directions at once. We won’t write about ChatGPT, which is on everyone’s lips, but will look at less obvious options.
Top 5 non-obvious neural networks for text optimization
Rytr
A popular neural network for creating and optimizing texts, which is used by more than 8 million people, including specialists from Ford, IKEA, Payoneer, Dell, Pfizer and other well-known companies.
First of all, Rytr is useful for digital marketers, as it allows:
generate advertising posts and texts using selling formulas like PAS and AIDA (40+ templates available);
create headings, meta tags, descriptions of product cards, etc.;
auto-complete phrases, reformulate sentences, shorten or expand text;
create ideas for blogs, descriptions and videos (new and existing);
carry out SEO optimization of the text (identify important keywords and control the density of their placement, select the optimal text length, analyze its readability, etc.). There is a built-in anti-plagiarism service;
Edit and correct text (formatting, correcting errors, searching and replacing by words, etc.);
Set the texts to the desired tone (persuasive, inspiring, etc.).
The neural network also offers its own API for integration with client applications or platforms, such as WordPress, Zapier, Slack, Trello, etc.
There is a free plan for 10,000 characters per month, as well as paid versions ranging from $9 to $29 per month. To connect to the Russian language, you need to subscribe.
CopyMonkey
Neural network for simple and fast SEO optimization of text content. To do this, just enter a topic or download the source text, select the necessary keywords and AI will write them into a future article, product card, post and other material.
Although this is where CopyMonkey's SEO capabilities are limited, the service offers an advanced AI chat based on ChatGPT. It allows you to select the tone and structure of the text, the number of characters and many other inputs for any task, business or target audience – in real time. The neural network also has a built-in editor for optimizing content for the desired platform.
CopyMonkey is especially effective for marketplace listings. For example, trainer, mentor and Amazon business owner Nick Milani uses this service to describe his products.
The neural network has a free trial period and a pricing system: from 1,599 to 11,990 rubles per month.
Gerwin A.I.
A neural network for creating SEO articles, product descriptions, naming, clickbait titles, optimizing YouTube videos and many other tasks. The service generates texts and pictures, selects headlines, keywords, and hashtags for social networks.
Gerwin AI offers tools for keyword checking, link building, and content auditing. For all types of text you can set ToVstyle and level of expertise.
There is also content processing through a multifunctional editor, layout designer, spell checker, autosave, history of created works and other useful tools.
The neural network includes 70+ tools for copywriting, including AIDA, PAS, BAB marketing models and separate card templates for Ozon, Wildberries, Yandex Market and Amazon.
Gerwin AI price starts from 280 rubles for 10,000 characters.
NeuroTexter
A service for working with ready-made texts. Here you can improve the tone and style of the content, adjust the level of creativity, shorten, expand or unique the text – without losing the meaning of the source and preserving all the basic ideas, your own names and other important variables.
NeuroTexter also has a smart assistant through which you can optimize content in these areas:
marketing. Generating catchy headlines, formatting text for a specific target audience, etc.;
SEO. Search for relevant article topics, keywords, etc.
And in the neural network you can track text metrics: uniqueness, readability, nausea, water and much more.
NeuroTexter offers a 7-day trial period and paid plans from 299 to 1999 rubles per month.
RoboText.io
This is a Russian-language analogue of ChatGPT based on RoboTextLM’s own generative neural network. Unlike other AIs, to work with RoboText you do not need detailed instructions – one of the built-in templates and a brief description of the topic is enough.
The service can generate and improve almost any text: articles, commercial offers, product cards, posts on social networks and much more. It also allows you to automatically continue, shorten, and paraphrase your source material. It is possible to include selected keywords and stop words in the text.
In the neural network, you can save the styles and format of texts, parse HTML markup, and also establish direct work through the API.
The cost of RoboText starts from 290 rubles for 50,000 characters. There is also a trial version of the program, but only 1000 characters.
Conclusion
Test neural networks are a great help for almost any business. They adapt the text to the desired target audience, carry out SEO optimization, set ToV and, most importantly, create fairly high-quality texts using a simple template or industrial text. In addition, AI works well with commercial texts for social networks, marketplaces and search engine ads and is suitable for solving digital marketing problems. For example, in our ecosystem There is free ad generator for Direct and Google Ads based on ChatGPT.
But, despite all its advantages, neural networks are not a panacea. Modern models do not always understand the context of the request and are limited by data and creativity. Therefore, to generate even the simplest neurotext, at least minimal “human” editing is usually required.
