Methodology
How a report is made
Buzzsift reads recent public TikTok, Reddit, YouTube, Instagram and X posts and comments about what you typed, has an AI model mark each one as off-topic, positive, negative, mixed or neutral, counts the shares from those marks, and groups the points people make, each linked to the posts behind it.
What it reads
| TikTok | Searches videos from the last 90 days, keeps those whose caption names the subject, and reads 2 pages of comments under the 6 with the most comments. |
|---|---|
| Searches posts (2 pages) and, separately, comments that mention the subject inside any thread (3 pages); then reads 2 pages of comments in the 4 busiest threads about it. | |
| YouTube | Searches this year's videos, keeps those whose title names the subject, and reads 2 pages of top comments under the 5 most viewed. |
| Searches reels (2 pages), keeps those from the past year whose caption names the subject, and reads 2 pages of the most liked comments under the 5 with the most comments. | |
| X | Searches the latest posts (3 pages) and the top ones (1 page) that name the subject, keeps those from the past year, and reads 2 pages of replies under the 4 with the most replies. |
The influencer campaign report reads the comments under the posts you paste instead (up to 10).
Five steps
Read
The posts and comments above, public only, with no platform login. A few hundred in all.
Mark each one
An AI model reads them in batches of 120 and marks every post: not about the subject (another meaning of the name, spam), or positive, negative, mixed, neutral. Posts marked as not about it are dropped.
Count
The sentiment shares, overall and per platform, are counted by code from those marks. The model never estimates a percentage.
Find the points
In each batch the model lists the points people make, each with the ids of the posts that make it. A final pass merges points that say the same thing, keeps their posts and ranks them by how many posts back them (up to 7 a section). Ids that don't exist are thrown away.
Link
Every point shows how many posts make it and up to 4 of them, linked, so you can read them yourself.
Limits
- It reads a sample, not everything: the most viewed and most commented posts that platform search returns, so a quiet complaint on a small account can be missed.
- Recent only: TikTok the last 90 days, YouTube, Instagram and X the past year. Reddit search favors recent and popular threads.
- The model can misread sarcasm or slang. That's why each point links to its posts.
- Facebook, LinkedIn, news sites and blogs aren't read.
- If fewer than 5 posts are about the subject, the report stops and the points go back.
The sample reports' numbers
| Report | Kind | Run | Searches and page reads | Read | About the subject | Time |
|---|---|---|---|---|---|---|
| Stanley | Brand | 2026-11-14 | 55 | 716 | 397 | 67s |
| Owala | Competitor | 2026-11-14 | 58 | 1,022 | 606 | 104s |
| standing desk | Pain points | 2026-11-14 | 57 | 753 | 479 | 88s |
| Oura Ring | Brand | 2026-11-14 | 56 | 877 | 567 | 98s |
| Yeti | Brand | 2026-11-14 | 59 | 1,110 | 472 | 93s |
| Hydro Flask | Brand | 2026-11-14 | 57 | 867 | 610 | 88s |
| Whoop | Brand | 2026-11-14 | 55 | 752 | 387 | 72s |
| Notion | Brand | 2026-11-14 | 55 | 843 | 531 | 88s |
| Obsidian | Brand | 2026-11-14 | 57 | 1,049 | 620 | 93s |
| Dyson | Brand | 2026-11-14 | 58 | 1,086 | 851 | 112s |
| Shark | Brand | 2026-11-14 | 58 | 1,289 | 201 | 67s |
Know what people say before your next decision.
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