Tracked question
“BigQuery vs Calendly”
We put this exact question to AI engines 6 times since 2026-07-27 and recorded every brand named — and where in the answer.
Each engine’s first pick
The engines disagree here — worth knowing before you trust any single one.
Every brand named
| # | Brand | Times named | Avg position | Best | Engines |
|---|---|---|---|---|---|
| 1 | Calendly | 5 | 2.6 | 1 | 2 |
| 2 | BigQuery | 5 | 3.4 | 1 | 2 |
| 3 | Google BigQuery | 3 | 2.0 | 2 | 1 |
| 4 | Looker Studio | 3 | 6.3 | 4 | 1 |
| 5 | Tableau | 3 | 7.3 | 5 | 1 |
| 6 | Snowflake | 2 | 5.0 | 2 | 2 |
| 7 | Amazon Redshift | 2 | 5.0 | 1 | 2 |
| 8 | Fivetran | 2 | 10.0 | 7 | 1 |
| 9 | Microsoft Azure Synapse Analytics | 1 | 3.0 | 3 | 1 |
| 10 | Acuity Scheduling | 1 | 4.0 | 4 | 1 |
| 11 | ScheduleOnce | 1 | 4.0 | 4 | 1 |
| 12 | Doodle | 1 | 5.0 | 5 | 1 |
| 13 | SavvyCal | 1 | 5.0 | 5 | 1 |
| 14 | Chili Piper | 1 | 6.0 | 6 | 1 |
| 15 | Setmore | 1 | 6.0 | 6 | 1 |
| 16 | Stitch | 1 | 6.0 | 6 | 1 |
| 17 | HubSpot Meetings | 1 | 7.0 | 7 | 1 |
| 18 | Databricks | 1 | 10.0 | 10 | 1 |
| 19 | Airbyte | 1 | 14.0 | 14 | 1 |
| 20 | Zapier | 1 | 15.0 | 15 | 1 |
Sorted by how often a brand was named, then how early. How we measure →