X (Twitter) vs YouTube for AI software / SaaS Creator Marketing: A Data Comparison
When picking a platform for AI software / SaaS creator campaigns, the choice is usually made on instinct. Below is a comparison of the actual usable pools on each — not the platforms at large, but what survives filtering.
| Metric | X (Twitter) | YouTube |
|---|---|---|
| Creators indexed | 4,680 | 2,212 |
| Grade A share | 18% | 0% |
| Average authenticity | 51/100 | 34/100 |
| Contactable | 29% | 1% |
| Median followers | 3,731 | 7,590 |
| Quarantined as suspected fake | 212 | 14 |
How to read these numbers: this covers creators indexed and validated inside Koinon Link, not every creator on the platform. Suspected bought-follower accounts are quarantined and excluded from the table above (shown separately). The authenticity score is our own anomaly detection over follower/engagement structure, not a platform-official metric. Figures update as collection continues.
What this actually tells you
X (Twitter) has the larger pool, but larger is not better by itself. X (Twitter) has the higher average authenticity — a low score means more manual work weeding out bought-follower accounts. X (Twitter) is easier to reach directly, which drives outreach throughput: on platforms where few creators publish contact details you fall back to DMs, and reply rates are typically lower.
The real deciding factor is not in this table: where your target customers actually consume content. These numbers tell you whether a platform pool is clean and reachable. Whether the audience fits is a per-creator question, not a per-platform one.