The calculator gives you an estimate for your annual ad revenue potential based upon your content category (Finance, Games, Health, etc…) and your monthly page views.
For example, putting in 50k page views a month, with a Finance category, gives a potential yearly earnings of $2,000.
I’m going to take the median across all categories, which is an estimated annual revenue of $1,550 for 50,000 monthly page views.
This is approximately ~$0.0026 earned per page view.
How much does it cost to generate AI content?
Let’s invent a blog that generates content in response to whatever the user types in the search bar.
We’ll generate the article the user is looking for, on the fly. Will it be mostly nonsense? Probably. But let’s go for it anyway, just to illustrate a point.
user: “how to have my macbook audibly greet me whenever I flip it open”
In order to facilitate this, we’ll wrap the user’s query around a prompt.
Below is the prompt we’ll use.
With this prompt, and the user query, we have 119 input tokens according to OpenAI’s Playground.
The response generated by gpt4o-mini, is only 829 output tokens.
Let’s calculate how much we paid for this article.
Token Type
Number of Tokens
Cost per 1 Million Tokens
Calculated Cost
Input Tokens
119
$0.15
$0.00001785
Output Tokens
829
$0.60
$0.0004974
Total Cost
$0.00051525
The cost to generate the article was $0.00051525. And it wasn’t half-bad.
Ad impression vs AI cost.
You can probably see where I’m going with this now.
For that blog post, we might earn ~$0.0026 for the single page impression from the user that requested it.
Meanwhile, the blog post itself, had a cost of $0.00051525 to generate.
We made a net profit of 0.0026−0.00051525 = ~$0.002! We’re going to be rich!
That’s 2 tenths of a penny. Don’t go spending it all in one place.
Is this going to actually happen?
Will the future of the internet be entirely dynamically generated AI blogs in response to user queries?