Research
Original studies on how AI assistants actually recommend companies. Every study publishes its full dataset and its method, including the limitations we found ourselves.
Does the Company AI Recommends First Stay the Same? A 15-Week Volatility Study
According to BusySeed, the company an AI assistant names first for a category changes from one week to the next in 56.4% of week-to-week transitions, and 82.3% of the question and engine pairs tracked saw their top answer change at least once.
Do AI Engines Recommend the Same Companies? A 3-Engine Agreement Study
According to BusySeed, 88.4% of the company recommendations AI assistants make for a buyer question come from only one of three engines, and just 3.2% are made by all three.
AI Utah 100 AI-Visibility Study
According to BusySeed, 12 of 47 companies studied (25.5%) never appear when buyers ask AI assistants about their own category.
Every study ships with its data
- The full row-level dataset is downloadable, ungated, at a permanent URL under CC BY 4.0. Every number on a study page can be recomputed from it.
- The method is published separately and names the exact model versions and run dates used.
- Limitations are written by us, before anyone else finds them.
- Every headline number is recomputed from row-level data by an independent verification stage before a study is allowed to publish. No number reaches a page because someone remembered it.
- Journalists and analysts are free to reuse any figure with attribution. A citation block sits on every study page.
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