Cost Calculator for AI-Generated Google Ad Copies
Curious about the cost of generating customized, high-quality ad copy at scale? Our AI Ad Copy Cost Calculator provides a clear, instant estimate to help you budget effectively for your ad campaigns. Perfect for enterprises requiring thousands of ad variations!
Cost Estimations for Generating 1000 Responsive Search Ads
| Model | Tokens
A token is a piece of text, like a word or punctuation. As a rule of thumb, one token is about 4 characters, or roughly ¾ of a word, so 100 tokens equals about 75 words.
|
Cost | ||||
|---|---|---|---|---|---|---|
| Input | Output | Total | Input | Output | Total | |
| gpt-3.5-turbo-0125 | 24.030 | 2.280 | 26.310 | $ 0,01 | $ 0,00 | $ 0,02 |
| gpt-4 | 24.030 | 2.280 | 26.310 | $ 0,72 | $ 0,14 | $ 0,86 |
| gpt-4-turbo | 24.030 | 2.280 | 26.310 | $ 0,24 | $ 0,07 | $ 0,31 |
| gpt-4o | 23.760 | 2.150 | 25.910 | $ 0,06 | $ 0,02 | $ 0,08 |
| gpt-4o-mini | 23.760 | 2.150 | 25.910 | $ 0,0036 | $ 0,0013 | $ 0,0048 |
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FAQ
What is an Open AI Token?
Whenever you interact with an Open AI LLM you are consuming tokens for sending and receiving words. As a rule of thumb 100 Tokens are needed for around 75 words.
What does RAG stand for?
RAG stands for Retrieval-Augmented-Generation. Before the LLM is answering a question or solving a task you can use various knowledge resources to look up information for that context and hand it over to the LLM to make use of it.
Which Problem is solved by using RAG?
The generated results are way more accurate. Especially when you deal with recent topics that are not part of the model training so far. The problem of “Hallucinations” is minimized. The LLM can be considered as a writing assistant that puts all facts together you are handing over which gives you a lot of control.
Which knowledge could be used for Ad Copy Generation in PPC?
A good starting point is the available website content. Let’s say you already have a running Google Ads Account structure with keywords pointing to a relevant final url. A straightforward approach would be to save the text content of the website and send it to the LLM before creating a specific ad copy for a given keyword. If you have a product feed available with detailed product descriptions this is another great resource for creating highly relevant ad copies.