“Lumera is the only one that doesn't pill under my foundation.”
LumeraWears well under makeup
r/SkincareAddiction· 4mNegative
“Dewly gel cream pills SO bad with SPF”
DewlyPilling under makeup
@skintalks· 9mMixed
“Is Clarra worth $48? Feels like a dupe of the blue jar one.”
Clarra, LumeraPrice vs value
“Pilling under makeup”· Dewly
Mentions per day · 30 days
- - 2x 7-day avgSpike · 2.1x avg · Oct 5
Sep 6Sep 20Oct 5
#brand
SiftreeApp6:02 AM
“Pilling under makeup” hit 2x its 7-day average
Dewly · 60 mentions on Oct 5, 2.1x avg. Started with one TikTok video.
Listens on
TikTok
Reddit
YouTube
Instagram
X
Threads
LinkedIn
Facebook
Pinterest
Bluesky
Own your intelligence
You define the stories that matter.
Your narratives, your labels — not keyword buckets. Every post, comment, and transcript lands on them. Nothing sampled.
01
26,930
Posts & comments
TikTok8,410
YouTube5,560
Reddit4,960
Instagram3,200
Other4,800
02
100%
Labeled, none sampled
BrandNarrativeSentiment
03
11
Narratives
Wears well under makeup, Pilling, Price vs value, Oily-skin fit, Packaging +6
04
2
Spiking now
Pilling · Dewly 2.1x
Packaging · Lumera 3→7%
Share of voice
See who owns each story.
Share of voice split by narrative, so a win and a problem never cancel out.
46%
Lumera in “wears well under makeup”
+9 pts
Week over week, led by TikTok creators
Share of voice by narrative
LumeraDewlyClarra
Wears well under makeup
4,120 mentions
46%31%23%
+9 pts
Pilling under makeup
3,380 mentions
12%71%17%
Spiking
Price vs value
2,940 mentions
28%30%42%
−2 pts
Oily-skin fit
2,610 mentions
38%44%18%
+3 pts
Packaging
1,890 mentions
52%21%27%
Watch
Oct 1–7 · Every major platform · 5 of 11 narratives
“Our listening tool gives me 40,000 mentions and no story.”
— Brand manager
Keyword alerts
With Siftree
40,000 mentions and no story
11 narratives with share of voice
Text-only keyword matches
Video and audio transcripts labeled with the rest
Spotting the TikTok trend after it peaked
A Slack alert at 2x the 7-day average
Counting hashtags for leadership
A cited narrative report
What lands
A narrative report your team will open.
Weekly narrative report
● Ready
Lumera Brand · Oct 1–7
Where you're winning
Lumera holds 46% share of voice in “wears well under makeup,” up 9 points, led by TikTok creators1TikTok · creator video, Oct 4.
What's spiking
“Pilling under makeup” mentions of Dewly doubled after one viral video2TikTok · video transcript, Oct 5. That's an opening for comparison content.
A cited report, every run
Every claim links to the post, call, or page it came from.
#brand
SiftreeApp7:02 AM
“Pilling under makeup” hit 2x its 7-day average (Dewly)
60 mentions on Oct 5 vs. a 29/day average. Top source: one TikTok video transcript.
Alerts where your team works
Thresholds you set, delivered to Slack or email.
Task schedule
Active
Task
Label brand narratives across every major social platform
Runs
Daily · 6:00 am
Alert
Alert #brand when a narrative hits 2x its 7-day average
On your schedule
Approve the task once. It keeps running and repairs itself.
Mentions labeled by narrative
AI-labeled
Post
Platform
Brand
Narrative
“Lumera is the only one that doesn't pill under my foundation.”
TikTok
Lumera
Wears well under makeup
“Dewly gel cream pills SO bad with SPF”
Reddit
Dewly
Pilling under makeup
“Is Clarra worth $48? Feels like a dupe of the blue jar one.”
YouTube
Clarra, Lumera
Price vs value
“oily skin girlies — Lumera or Dewly?”
TikTok
Lumera, Dewly
Oily-skin fit
The dataset behind it
Labeled records you can filter, export, or query from Claude and ChatGPT.
Start with a prompt
Ask the questions leadership asks you.
Copy one into the Siftree agent and swap in your brands.
“Which narratives about us gained share this month, and on which platforms?”
→ Narrative trend
“Where are competitors getting praise that we aren't?”
→ Gap list
“What objections keep repeating in creator comments and video transcripts?”
→ Objection list
“Which creators drive the most positive conversation about us?”
→ Creator list
“What should the brand team respond to first this week?”
→ Priority brief
“Alert me when negative sentiment about us doubles in a day.”
→ Alert
Questions
Before you listen.
FAQ
How is this different from a keyword listening tool?+
Keyword tools only catch text matches. Siftree also transcribes video and audio across every major platform, so what people say on camera lands in the same narratives as comments and posts.
Which platforms does it cover?+
Every major social platform you care about: TikTok, YouTube, Instagram, Reddit, X, Threads, LinkedIn, Facebook, Pinterest, Bluesky, and more. Connect what you need; the narrative model stays the same.
How fresh is the data?+
As fresh as the schedule you set. Daily is common, and launches or incidents can run more often.
Why not just ask ChatGPT or Claude?+
A chat assistant answers once from what it can see in the conversation. Siftree collects and connects your data, labels every record the same way, re-runs on a schedule, and cites the source behind each claim. You can still ask from ChatGPT or Claude through Siftree MCP.
Who can see our data?+
Access is scoped to the channel and the accounts you grant. Tasks run in an isolated sandbox, creating or running a task requires approval, and every action is written to an activity log.
Do we need engineers to set this up?+
No. Describe the outcome in plain language. Siftree scopes the work, builds and tests the pipeline, and asks for approval before anything runs.
Where it listens
TikTok commentsShort video & audio
TikTok transcriptsShort video & audio
YouTube commentsShort video & audio
YouTube transcriptsShort video & audio
Instagram reelsShort video & audio
PodcastsShort video & audio
RedditCommunities
DiscordCommunities
QuoraCommunities
Facebook groupsCommunities
X postsSocial feeds
ThreadsSocial feeds
BlueskySocial feeds
LinkedIn postsSocial feeds
PinterestSocial feeds
FacebookSocial feeds
Instead ofMeltwaterSprinklrManual social dashboards
The AI platform for customer-obsessed leaders. Build personalized customer solutions you can trust.
Siftree connects calls, tickets, reviews, social, documents, and your existing systems — then builds pipelines, datasets, tools, and cited insights your team and agents can operate on. Long-horizon agents keep building after you walk away.