Neural Networks and Marketing: A Review of Tools

[shammis606]

Neural networks are already an integral part of life in the modern world, and they have found their application in almost all areas of activity. One of such areas where neural networks can bring tangible benefits is Internet marketing. How can neural networks help us? We will talk about this now.



Design sphere

Here are some examples of how neural networks can help:



Post Illustrations: With some caveats, AI can already be the benefit of using our student database used to create illustrations. If you have a full-time designer who turns an image into a fully-fledged branded post cover, this is ideal. The result is high-quality and unique images.

References for a designer or illustrator: the content manager generates images and provides them as examples for the specialist to work on.

Visual Content Ideas: Text AIs can suggest post ideas on a given topic based on additional conditions such as number of ideas, description detail, and social media style.

Design elements: If you need a specific image without copyright issues, neural networks can help generate it and use it in illustrations, social media design, etc.

A selection of neural networks for work in the field of design:

Deepart.io offers impressive default styles and the ability to upload your own, but the process of creating a painting takes between 10 and 20 minutes.

Ostagram allows you to upload your own styles and customize the intensity of their application, but the image quality is inferior to Deepart.

Vinci offers a mobile app that can be downloaded for different platforms, as well as tools for processing photos through social media bots. However, the number of built-in styles is limited to 25, and users cannot upload their own. Despite these limitations, Vinci works significantly faster than previous services.

Prisma is a Russian-language application for Android and iOS that works quickly, but does not allow you to load your own filters.

Neutral Doodle is another interesting neural network that creates paintings based on your sketches and drafts. You can draw something in Paint, specify the style in which you want to get the painting, and the neural network will create it for you. Web services are not available yet, but you can download the code from GitHub and compile the neural network on your computer.



Examples of neural network assistance in the field of text content:



Content Analysis

Neural networks can analyze large volumes of text, identify keywords, phrases, and topics, and determine the structure of the text. This allows authors and editors to quickly and efficiently process information and create quality content.

Text generation

Some neural networks can generate texts based on specified parameters. This can be useful for creating product descriptions, articles, news, and other types of content. However, it should be remembered that such text may contain errors and requires additional verification and editing.

Editing and proofreading

Neural networks can help correct errors: grammar, punctuation, and style. They can also suggest ways to improve the structure of the text and add new ideas.

Creating Meta Tags

Neural networks can automatically create meta tags for website pages, such as title, description, and keywords. This simplifies the process of optimizing content for search engines and increases the visibility of the site in search results.

Content quality assessment

Neural networks can evaluate the quality of text, taking into account its informativeness, relevance, readability, etc. This helps authors and editors determine how good their content is and whether it needs improvement.

Neural networks are a powerful tool for working with text content. They allow you to speed up the process of creating and editing texts, improve their quality, and optimize content for search engines. However, it should be remembered that neural networks cannot replace human intelligence and creativity, so it is important to use them in combination with other methods and approaches to working with text.



A selection of neural networks for working with text:

Gerwin AI is a Russian tool that uses machine learning algorithms to create content (texts and images) that easily adapts to your style and needs. The neural network offers the creation of scripts for YouTube, texts for posts on social networks and product descriptions for Ozon. Everything that an ordinary user needs.

Frase positions itself as the best SEO content optimizer using artificial intelligence. The service provides carefully researched material that can be adapted to your needs. You can edit and supplement it with your own ideas, creating an attractive and selling text.

Copymonkey generates advertising texts and product descriptions, optimizing them for SEO. Ideal for online store owners and marketers.

Turbo Check offers a comprehensive check of spelling, grammar and style of the text, improving its quality and readability. The service also evaluates the attractiveness of the text before publishing in Yandex and Google, increasing the likelihood of users clicking on the titles.

AISEO helps optimize content for search engines by analyzing keywords and suggesting changes to improve text ranking.



It is also worth remembering that using neural networks in work can result in certain problems. For example, it is not always possible to accurately predict the audience's reaction to content created using neural networks, which can lead to negative consequences for the brand. Failures in the operation of neural networks are also possible, which can slow down the process of creating and distributing content. However, despite the pitfalls, neural networks bring more benefits than harm.

Thus, we can conclude that using artificial intelligence to create content can be useful, but not as much as it seems at first glance. You will still need a specialist, since modern neural networks cannot yet cope with content processing on their own. At least, they will not be able to perform this task effectively and efficiently, they will simply publish content for the sake of publishing.