The Aggregator playbook requires two things to work:

1) That the would-be aggregator starts out as far and away the best in a category.

Nobody else even comes close.

They are the schelling point, the most prominent example of the category that attracts usage by default.

2) That the would-be aggregator has some kind of compounding advantage.

That is, that the more that people use their product, the higher the quality of the product gets, creating a stronger pull.

This advantage can come from:

Good old fashioned network effects.

Data stickiness.

The more data a user stores in the tool, the more useful it gets for them, which also makes their switch cost higher.

Data Flywheel.

The more any user uses it, the more the quality for all users improves.

Google Search has this property.

Notably, neither of these is true anymore for OpenAI.

OpenAI is no longer the best model.

OpenAI also doesn't seem to have much of a compounding benefit from usage.