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Ad Copy Generator

High-converting copy for every channel

Generate headline, description, and CTA variants for Google Ads, Meta, LinkedIn, and programmatic display — each within platform character limits and optimized for the specified audience segment and campaign objective.

Content CreationIntermediate
RecommendedOpenAI

GPT-6.1 Sol

Input / 1M$2.00
Output / 1M$10.00
Context1M
Speed85/100
Coding score
96
Reasoning score
97
Estimated monthly cost

for 150K tokens a month · 30% input / 70% output

$1.1

Why this model

For this workload — 150K tokens a month, 30% of them input — it comes to about $1.1 a month. GPT-6 Luna is cheaper at $0.06, but scores 10 points lower on our editorial scale for this kind of task.

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Implementation tips

  1. 1

    Feed your historical ad performance data into the prompt — the model can identify patterns in high-CTR copy and apply them, rather than starting from generic copywriting principles.

  2. 2

    Generate a minimum of 10 headline variants per ad group: ad platforms algorithmically test combinations, so more variety directly increases the chance of finding a winning combination.

  3. 3

    Ask the model to map each variant to a specific psychological trigger (scarcity, social proof, benefit, curiosity) so your team can intentionally test different approaches rather than random variation.

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