AI Digital Copywriter Development

AI Copywriter as Digital Worker

AI Copywriter automates text content creation: landing pages, product descriptions, blog articles, ad copy, email campaigns. Speed: 1000–5000 words per minute vs. 500–2000 words per day for humans.

Specialized Templates

from openai import AsyncOpenAI
from enum import Enum

client = AsyncOpenAI()

class CopyFormat(Enum):
    LANDING_HERO = "landing_hero"
    PRODUCT_DESCRIPTION = "product_description"
    AD_COPY = "ad_copy"
    BLOG_ARTICLE = "blog_article"
    EMAIL_SUBJECT = "email_subject"
    SOCIAL_POST = "social_post"

COPY_PROMPTS = {
    CopyFormat.LANDING_HERO: """
        Write hero section for landing page.
        Structure: headline (up to 10 words, benefit not feature),
        subheadline (1-2 sentences, clarification),
        3 benefit bullets, CTA button.
        No cliches: "unique", "innovative", "best on market".
    """,
    CopyFormat.PRODUCT_DESCRIPTION: """
        Product description for marketplace.
        Structure: 1 sentence — main benefit,
        technical specs in list,
        who it suits (use cases),
        what's included.
        Incorporate SEO keywords organically.
    """,
    CopyFormat.BLOG_ARTICLE: """
        SEO article in H2/H3/lists format.
        First paragraph — catchy lede without "In this article we'll tell".
        Practical examples, numbers, facts.
        No filler and unnecessary introductory phrases.
    """
}

async def generate_copy(
    format: CopyFormat,
    brief: dict,
    language: str = "en"
) -> str:
    response = await client.chat.completions.create(
        model="gpt-4o",
        messages=[
            {"role": "system", "content": COPY_PROMPTS[format]},
            {"role": "user", "content": f"Brief:\n{brief}\nLanguage: {language}"}
        ]
    )
    return response.choices[0].message.content

SEO Optimization

async def write_seo_article(
    keyword: str,
    secondary_keywords: list[str],
    word_count: int = 1500
) -> dict:
    """Article with SEO optimization: TF-IDF, LSI, structure"""
    response = await client.chat.completions.create(
        model="gpt-4o",
        messages=[{
            "role": "system",
            "content": f"""Write SEO article in {word_count} words.
            Main keyword: {keyword} — 3-5 mentions.
            LSI keywords: {secondary_keywords} — 1-2 times each.
            Structure: H1 with keyword, 5-7 H2s, each H2 addresses search intent.
            Add table or numbered list for featured snippet.
            No keyword stuffing — write for people."""
        }, {
            "role": "user",
            "content": f"Write article about: {keyword}"
        }]
    )
    return {
        "content": response.choices[0].message.content,
        "keyword": keyword,
        "word_count": len(response.choices[0].message.content.split())
    }

Adapting to Brand Voice

BRAND_VOICE_EXAMPLES = {
    "formal": "Company offers professional solutions in the field of...",
    "casual": "Listen, we know how annoying it is when...",
    "technical": "Solution architecture is based on microservices with...",
}

async def adapt_to_brand_voice(
    draft_text: str,
    brand_voice_examples: list[str],
    brand_tone: str
) -> str:
    response = await client.chat.completions.create(
        model="gpt-4o",
        messages=[{
            "role": "system",
            "content": f"""Rewrite text in brand style.
            Tone: {brand_tone}.
            Brand text examples:
            {chr(10).join(brand_voice_examples)}

            Keep meaning, change style and delivery."""
        }, {
            "role": "user",
            "content": draft_text
        }]
    )
    return response.choices[0].message.content

AI Copywriter covers mass content production — 50–500 texts per day. For image materials and unconventional formats, editor review is needed. Timeline for brand customization and CMS integration — 1–2 weeks.