AI copywriting: how to use neural networks to write content

Over the past two years, neural networks have changed the copywriting industry more than the advent of search engines in the late 1990s. If creating 50 texts for a product catalog used to take a team a week, now one specialist with a properly configured AI assistant can handle that volume in a day. But there is a vast gap between “generating text” and “creating content that works.” This guide explains how to use neural networks professionally to write content, from choosing a model to publishing the finished piece.

1. What AI can and cannot do in copywriting

Before establishing a workflow, it is important to assess the tool’s capabilities realistically.

What neural networks do well

Structuring information. Give a model a set of facts, points, and data, and it will turn them into a coherent text with a logical structure. This is useful when working with technical descriptions, FAQ sections, and reviews.

Generating variations. Need 20 headline options for A/B testing? 10 versions of a product description for different platforms? AI can do this in minutes.

Adapting tone. Models can effectively rewrite a formal text in a conversational style or adapt B2B material for a B2C audience when given clear instructions.

Drafts and outlines. AI generates working drafts that an experienced editor can polish for publication faster than they could write them from scratch.

Routine formats. Meta descriptions, image alt text, short product card descriptions, and templated email notifications—anything that follows a predictable pattern.

Where neural networks struggle

Fact-checking. Models hallucinate: they confidently generate nonexistent facts, false statistics, and fabricated quotes. Every fact in AI-generated text needs to be checked manually.

Original expertise. A neural network has not conducted experiments, worked with clients, or learned hard lessons on real projects. It synthesizes existing knowledge but does not create new knowledge.

Data freshness. Even models with internet access may rely on outdated information. Manual verification is essential for content where up-to-date data matters.

Humor and authorial voice. AI-generated text often sounds smooth but sterile. Vivid metaphors, irony, and a recognizable authorial style are what distinguish memorable content from forgettable content.

The optimal approach is to treat a neural network like a junior copywriter with encyclopedic knowledge but no real-world experience. It writes quickly, but every text needs to be edited by a senior specialist.

2. Choosing a model: ChatGPT, Claude, GigaChat, YandexGPT

Not all models are equally well suited to copywriting. The choice depends on the task, language, and budget.

ChatGPT (OpenAI)

Models GPT-4o, o1, and o3-mini. It has the largest training data set, supports a variety of styles, works well in Russian, and has a developed ecosystem of plugins and APIs. Its drawbacks include a tendency to produce “wordy” text and recognizable patterns that are easy to detect (paragraphs beginning with “In the world...” or “In the modern world...”). It is best suited to large-scale content generation and API integration.

Claude (Anthropic)

Models Claude 3.5 Sonnet and Claude 3 Opus. It has a more natural writing style and fewer templated constructions. Its large context window (up to 200K tokens) lets you upload an entire style guide, writing samples, and brief. It follows complex style instructions more reliably. Russian is supported less well than English, but it is an optimal choice for expert articles and working with style guides.

GigaChat (Sber)

Built for Russian, it has a better understanding of idioms and cultural context. It offers free basic access, and its servers are in Russia. Its generation quality is below GPT-4o and Claude, but it is a workable option for content for the Russian market when data localization is required.

YandexGPT

It has a good understanding of Russian, integrates with Yandex services, and is available through Yandex Cloud. It is behind global models in the quality of long-form text but is suitable for SEO content for Yandex and descriptions for Yandex Market.

Comparison table

For professional AI copywriting, an optimal combination is Claude or ChatGPT as the primary generation tool, plus specialized services for specific tasks. For example, AI Copywriter on reChecker lets you generate text according to SEO requirements and set the style, tone, and structure right in the interface, without having to write complex prompts manually.

3. How to write prompts for content

A prompt is not just a request; it is a technical brief for a neural network. The quality of the result is 80% determined by the quality of the prompt.

Five components of an effective prompt

1. Role — assign an expert role to change the style and vocabulary of the response:

Ты — senior SEO-копирайтер с 10-летним опытом работы в e-commerce.
Специализация: продуктовые описания для интернет-магазинов.

2. Context — specify who the text is for, which platform it will appear on, and what the audience knows:

Контекст: интернет-магазин премиальной косметики. ЦА — женщины
28-45 лет, доход выше среднего, разбираются в составах.

3. Task — give a specific task with constraints:

Напиши описание сыворотки с витамином C. Объём: 800-1000 символов.
Включи: ключевые ингредиенты, способ применения, результат.
Не используй: превосходные степени без обоснования.

4. Format — specify the structure of the output:

Формат: заголовок H1 → вводный абзац → буллиты «Состав» →
нумерованные шаги «Применение» → закрывающий абзац с CTA.

5. Tone of Voice — specify the communication style:

Тон: как рекомендация косметолога подруге — профессионально,
но без казённого языка.

The “prompt chain” technique

For long texts, break the process into stages:

1. “Create an outline for an article on topic X. 8-10 sections, with a description of each.”
2. “Write section 1. Length: 200-300 words.” (for each section)
3. “Write an introduction that motivates readers to keep going.”
4. “Check the text for repetition, clichés, and logical inconsistencies.”

The few-shot technique

Show the model a sample of the desired result: 2-3 text samples in the style you want. This is more effective than a lengthy description of the tone.

Antipatterns

• Vague requests: “Write a good text about SEO” — you will get generic content
• Contradictory instructions: “Write briefly and in detail”
• No constraints: without length, style, and format requirements, the result is unpredictable
• A 2000-word prompt: overloads the context, and the model loses focus

4. Types of content: generation specifics

SEO articles

The most common request in AI copywriting. Give the model a semantic core: the primary keyword, LSI phrases, and questions from “People also ask.” Set the heading hierarchy (H1 → H2 → H3) in advance. Ask for specifics: “Give 3 examples,” “Add statistics”—without instructions like these, AI generates general statements. Specify the length of each section; otherwise, the model may write one section of 500 words and the others at 50.

AI Copywriter on reChecker is useful for automating SEO content: enter keywords, choose a language and style, and the system builds an optimized structure.

Landing pages

Landing page copy follows the formula: pain point → solution → proof → CTA. In the prompt, assign the role of conversion copywriter, describe the USP and the audience’s main pain point. Generate each landing page section with a separate prompt: hero, problem section, benefits, testimonials, and FAQ.

Email campaigns

AI does a good job with email copywriting. Generate 10-15 subject line options and choose the best ones. Use placeholders for personalization. Set strict length limits: “Email body: no more than 100 words.” One email = one desired action.

Social media content

Short formats are unexpectedly difficult. Models tend to be verbose, while social media rewards brevity. In the prompt, specify the exact character limit, platform format, and channel style. Forbid templated openings such as “Hi, friends!”

Product cards

Generating product descriptions at scale is one of the most cost-effective tasks for AI. Create a prompt template with variables ({название}, {характеристики}, {ЦА}), prepare a spreadsheet with product data, and generate descriptions in batches through the API.

5. SEO optimization of AI-generated text

AI-generated text without SEO optimization is a draft, not content.

Working with keywords

Before generation: build a semantic core—the primary keyword, additional phrases (3-5 phrases), and LSI words (10-15 phrases). Include them in the prompt.

After generation: check keyword density. The optimal range for the primary keyword is 1-3%. Use the word counter and text analyzer to check.

Common AI errors: overusing the keyword in every paragraph, unnatural keyword placement (“buy plastic windows moscow cheap”), and ignoring LSI phrases.

Structure and headings

H1 — the primary query (one per page); H2 — additional queries (3-7); H3 — long-tail refinements. Specify the hierarchy clearly when generating the text. Models often overuse H2 and skip H3.

Internal linking

AI does not know your site structure, so internal links must be added manually. After generation, identify 3-5 places to link to relevant pages. Use keyword-rich anchor text, but do not over-optimize.

Meta tags

Generate the title and description in a separate prompt after writing the article. Ask for 5 options for A/B testing.

6. How to avoid Google AI filters

Google has officially stated that it evaluates content quality, not how the content was created. In practice, however, templated AI content performs worse in rankings.

What algorithms detect

• Statistical patterns: evenly distributed sentence lengths and predictable structure
• Lexical markers: an excess of linking phrases (“Moreover,” “It is important to note”), and a lack of conversational expressions
• Low perplexity: each next word is too predictable
• No personal experience: templated claims without specific examples or case studies

Humanizing text

Humanization is not replacing words with synonyms using a spinner. It means adding what AI cannot generate:

Personal experience: instead of “SEO optimization helps increase traffic,” write: “When we moved a client’s blog to a cluster structure, organic traffic grew by 340% in 4 months.”

Opinions and assessments: instead of “Claude and ChatGPT are popular tools,” provide a specific comparison based on your own experience using them, with figures and examples.

Specific data: real statistics, links to research, screenshots—anything that cannot be generated.

For automated processing of drafts, AI Rewrite on reChecker is useful: the service reworks text while preserving its meaning and changing its structure and vocabulary.

E-E-A-T and AI content

• Experience: add real case studies and screenshots of the work process
• Expertise: name an author with real expertise and create an author page
• Authoritativeness: earn backlinks and mentions in industry media
• Trustworthiness: SSL, a transparent privacy policy, and contact information

Pre-publication checklist

• The author's personal experience is included (at least 2-3 cases per article)
• Specific data is included: numbers, dates, sources
• The author's assessments and opinions are present
• Sentence lengths vary
• No AI phrases: “In a world...”, “It is important to note...”, “Without a doubt...”
• A real author with expertise is named
• The text has been manually edited

7. Workflow: prompt → draft → editing → publication

Stage 1: Preparation (30% of the time)

You don't write a single line. You gather:

1. The text's goal. Inform? Sell? Attract traffic?
2. Keywords. The primary keyword, secondary keywords, and LSI keywords. Use Yandex Wordstat, Ahrefs, and Serpstat.
3. Competitor analysis. The top 5 results for the target query: what they cover and what they miss.
4. Source material. Data, research, case studies, expert quotes.
5. Content plan. Make a list of topics, group them by search intent, and schedule publications on a calendar.

Stage 2: Draft generation (15% of the time)

Build a prompt from the materials you've prepared: role, context, task, keyword set, tone of voice, examples, and constraints. Generate the text section by section—for an article of 2000 words, that means 6-8 prompts. Generate each section separately, carrying over the context from the previous ones.

Stage 3: Editing (40% of the time)

This is the most important stage: this is where AI text becomes content.

First pass—fact-checking: verify every fact, number, and name. Remove anything that cannot be confirmed.

Second pass—expertise: add personal experience, case studies, and opinions. Replace general statements with specific examples.

Third pass—style: remove AI patterns, vary sentence length, and add natural language and professional jargon.

Fourth pass—SEO: keyword density, heading optimization, internal links, and meta tags.

Stage 4: Publication (15% of the time)

Upload the text to your CMS, add images with alt text, configure Schema.org, and submit it for indexing. After 2-4 weeks, check rankings and engagement metrics.

8. Prompt templates for different tasks

Ready-made templates to adapt for your projects.

Template 1: SEO blog article

Роль: SEO-копирайтер с экспертизой в [ниша].
Задача: информационная статья «[тема]», 2000-2500 слов.
Ключи: основной — [ключ] (5-7 раз), доп. — [ключ2], [ключ3].
LSI: [lsi1], [lsi2], [lsi3], [lsi4], [lsi5].
Структура: H1 с ключом, 6-8 H2, 2-3 H3 в каждом, списки и таблицы.
Тон: экспертный, без канцеляризмов.
Запрещено: «В данной статье», «Необходимо отметить», «В современном мире».

Template 2: Product description

Роль: копирайтер интернет-магазина [категория].
Товар: [название]. Характеристики: [список]. ЦА: [описание].
Написать: SEO-заголовок (60 символов), краткое описание (2 предложения),
полное описание (500-700 символов): для кого, преимущества, применение.
Запрещено: «лучший», «уникальный», «инновационный» без обоснования.

Template 3: Welcome email series

Роль: email-маркетолог. Бизнес: [тип], лид-магнит: [описание].
Серия из 5 писем: день 0 (доставка + знакомство), день 2 (полезный
контент), день 4 (кейс), день 7 (мягкая продажа), день 10 (оффер).
Для каждого: 3 варианта темы (50 символов), прехедер (90 символов),
тело (100-150 слов), CTA. Тон: дружелюбный, не фамильярный.

Template 4: Telegram post

Роль: SMM-специалист, канал о [тема], [N] подписчиков, B2B.
Тема поста: [тема]. До 800 символов, 3-4 абзаца.
Начало: факт или провокация (не «Привет, друзья!»).
Конец: вопрос к аудитории. Эмодзи: 2-3 штуки. Хештеги: 3-5.

Template 5: Landing page copy

Роль: conversion copywriter. Продукт: [описание]. ЦА: [описание].
Боль: [описание]. УТП: [описание].
Секции: hero (заголовок-боль + подзаголовок-решение + CTA),
проблема (3 боли), решение (3 преимущества), «как работает» (3-4 шага),
отзывы (3 заготовки), FAQ (5 вопросов), финальный CTA.
Тон: уверенный, конкретный. Без «молодая динамичная компания».

Template 6: Meta title and description

Страница: [описание]. Ключ: [ключ]. Тип: информационная / коммерческая.
Написать: title (50-60 символов, ключ в начале), description (140-160
символов, с CTA), + 4 варианта для тестирования.
Без восклицательных знаков и Caps Lock.

Template 7: Marketplace listing

Роль: копирайтер для Wildberries / Ozon / Яндекс.Маркет.
Товар: [название]. Категория: [категория]. Запросы: [список].
Написать: название (100 символов с ключами), описание (1000 символов),
5 буллитов «Особенности» (50-80 символов каждый).
Стиль: информативный, факты важнее эпитетов.

Template 8: Reels / Shorts script

Роль: сценарист коротких видео. Тема: [тема]. 30-60 секунд. ЦА: [описание].
Структура: [0-3 сек] хук → [3-10 сек] проблема → [10-25 сек] решение
(3 совета) → [25-30 сек] CTA. + описание (150 символов), 5 хештегов,
текст обложки (5-7 слов). Без «Всем привет» и «Ставьте лайки».

Template 9: Business proposal

Роль: B2B-копирайтер. Отправитель: [компания]. Получатель: [компания].
Услуга: [описание]. Стоимость: [описание]. Преимущества: [список].
Структура: заголовок-результат, проблема, решение (2-3 абзаца), кейс,
условия, гарантии, следующий шаг. Объём: 1 страница A4.

Template 10: Text rewrite

[вставить текст]
Перепиши: сохрани факты, измени структуру предложений, замени 70%
лексики синонимами, добавь 2-3 новых абзаца, сделай на 20% длиннее,
улучши читаемость. Не менять: термины, бренды, цифры.

For quick rewriting without creating prompts manually, use AI Rewrite on reChecker: upload the text, choose the degree of rewriting, and get a result in seconds.

Template 11: FAQ section

Тема: [тема]. ЦА: [описание]. Контекст: FAQ для [тип страницы].
10 вопросов и ответов (2-4 предложения каждый):
— 3 базовых (что, зачем, сколько стоит)
— 4 практических (как использовать, сравнение)
— 3 возражения (дорого, сложно, альтернативы)
Формат: JSON-LD для Schema.org FAQPage.

9. Ethics and responsibility

AI copywriting raises questions that the industry has yet to resolve definitively.

Disclosure of AI use

In most countries, there is no legal requirement to label AI-generated text, with some exceptions in the EU under the AI Act. Recommended approach:

• Informational content (blogs, articles): disclosure is not necessary if the text has undergone expert editing
• Bylined articles: AI should not replace the author. An expert checks and approves every claim
• YMYL content (health, finance): expert review is required; disclosure is preferable

Copyright

In most jurisdictions, AI-generated text is not protected by copyright (there is no “human author”). Text substantially revised by an editor may be eligible for protection. The risk of plagiarism is real: models sometimes reproduce excerpts from their training data, so check texts for originality.

Quality and responsibility

When you publish AI-generated text, you take responsibility for its content. Fact-checking is your duty. If AI generates inaccurate medical or financial information, the publisher is responsible. Unverified “facts” from AI-generated text are spread as reliable information, and this is a serious problem.

Impact on the industry

The cost of generic, template-based text is approaching zero. The value of expert content based on real experience is growing. Copywriters are retraining as AI editors and prompt engineers. This is not the end of copywriting—it is its transformation. Professionals who master AI as a tool while retaining their expertise will earn more, not less.

10. Conclusion

AI copywriting in 2026 is not about replacing people with machines. It is about empowering professionals with tools that let them work faster and at greater scale.

A prompt is a brief. The more precisely you define the task for a neural network, the better the result. Invest time in creating high-quality prompts.

AI generates a draft, not a final text. Editing is the most important stage. It is where AI text becomes content that ranks, converts, and is remembered.

Expertise is irreplaceable. A neural network cannot replace your experience or distinctive voice. It speeds up routine work, but the value of the content depends on the knowledge you bring to it.

Tools save time. Instead of writing prompts from scratch every time, use specialized services. AI Copywriter on reChecker handles generation settings, SEO optimization, and formatting, leaving you to focus on expert editing.

Ethics is part of professionalism. Check facts, don't present AI-generated text as expert-authored without editing it, and take responsibility for the content you publish.

Start with one type of text—product listings or meta descriptions. Refine your prompts, establish a process, and evaluate the results. Then scale up to other formats. Within a month, AI copywriting will be part of your production routine, not an experiment.