Listening

Hear the posts that never tag you. Get an alert when they spike.

Listeners collect keyword matches across X, Threads, Instagram hashtags, TikTok, and YouTube, including spoken words and on-screen text in video. AI keeps what matters and alerts your team when volume jumps.

Listening · WanderlyWanderly · example
“wanderly lost my booking again”TikTok · spoken in video · 48k views Kept
#wanderly trip recapInstagram hashtag Kept
wanderly (unrelated band)X · skip rule: music Skipped
Spike: “wanderly outage” 3x in 40 minAlert sent to #social-care Alert

Volume on “outage” tripled in 40 minutes. 3 posts are from accounts with over 100k followers.

PlatformsX, Threads, Instagram, TikTok, YouTube
Feed historyUp to 365 days
Spike alertsWithin the hour
CollectsPosts from the last 90 days

What it does

Collect

Keywords per platform across X, Threads, Instagram hashtags, TikTok, and YouTube.

Video, not just captions

On TikTok and YouTube, matches include spoken audio and on-screen text.

Keep and skip rules

Plain rules decide what stays. Every archived post shows the rule that archived it.

Spike alerts

Slack alerts after AI analysis, plus automatic alerts within the hour when volume jumps.

Promote to the inbox

One click turns a post into a conversation for your team. Nothing is deleted.

Chart it

Explore listening in Analytics or ask SiftGPT to chart it.

One Listener for each thing you follow

Most people talk about a brand without tagging it. A Listener sweeps X, Threads, Instagram hashtags, TikTok, and YouTube for your keywords, then decides what your team should see.

  • Brand names, products, campaigns, or competitors
  • Keywords set per platform
  • Posts from the last 90 days, kept for up to a year
Listener · Wanderly brandExample
wanderly, wanderly app, #wanderlytripsX · Threads · Instagram · TikTok · YouTube Collect
Mentions the app or a tripKeep rule Keep
stocks, giveaway, bandSkip rules Skip
Negative post or 3x usual volumeAlert in Slack · #social-care Watch

Hear what people say in videos

On TikTok and YouTube, Sift matches what people say out loud and the text on screen, not just captions. A short AI summary tells you what each video is about before you press play.

  • Spoken words and on-screen text
  • An AI summary of every video
  • Skip small accounts with a follower minimum
Listen · galleryExample
“booked through wanderly and the hotel had no record”TikTok · said at 0:14 · 212k views Kept
Packing for 3 weeks with my wanderly listYouTube · on-screen text · 18k views Kept
wanderly by the lake (song)TikTok · skip rule: music Archived

The creator says a hotel had no record of their Wanderly booking and asks if it happened to anyone else.

Simple rules, and a reason for every call

Keep and skip rules are plain chips, like “mentions the app” or “skip giveaway”. Three or four skip words remove most of the noise. Every archived post says which rule archived it, in a sentence.

  • Keep, skip, follower count, source, and channel rules
  • Every archived post explains why
  • Nothing is deleted. Bring any post back in one click
Archived postExample
“win a free wanderly trip!! follow + repost”X · @deals4u Archived
Archived because it matched the skip rule “giveaway”Why this was archived Rule
Send to inboxYour team picks it up like any conversation 1 click

Ask SiftGPT “why was that post archived?” It reads the same rules you see.

See the whole picture

The Listening tab in Analytics charts mentions over time, what was kept and archived, volume by platform, and the sentiment of what you kept. Ask SiftGPT to chart it in chat, or export any view to CSV.

  • Pulled, kept, archived, and actions at a glance
  • Keep rate for each Listener
  • CSV export of the current view
Analytics · Listening · last 30 daysExample
14,820 posts pulledAcross 5 platforms +18%
2,104 kept14% keep rate Kept
22% of kept posts negativeMostly refunds and check-in -4 pts
TikTok is 41% of volumeTop platform Top

Set up with our team

Sift’s team sets up Listeners with you, so collection stays focused on what matters. Check setup tests every rule and previews the volume to expect. Going live is always a person’s call.

Listening
  • Check setup previews expected volume
  • Managers view, send to inbox, and export
  • You decide when a Listener goes live

Where agents act, and where you decide.

Agents do the sweeping and sorting. Your team decides what to answer.

  1. Agent
    Collect

    Sweeps your keywords across five platforms, including speech and text in video.

  2. Agent
    Keep or archive

    Keeps the real conversations, archives the noise, and says why.

  3. Agent
    Watch

    Reads sentiment and alerts Slack on spikes and the conditions you set.

  4. Person
    Act

    Sends a post to the inbox, answers it, or shares the trend with the team.

Works across your channels

All integrations →

Questions

Which platforms does listening cover?

X, Threads, Instagram hashtags, TikTok, and YouTube. On TikTok and YouTube it also matches spoken words and on-screen text.

What happens to posts that get skipped?

They go to an archive you can review, with the rule that skipped them. Nothing is deleted, and you can send any post to the inbox in one click.

Can my team answer a post Sift finds?

Send it to the inbox and your team picks it up like any other conversation.

How do alerts work?

Alerts go to Slack. You choose watch conditions, like negative sentiment, and Sift alerts on volume spikes within the hour on its own.

Who sets up listeners?

The Sift team sets up rules, sources, and alerts with you. Your managers view the feed, send posts to the inbox, and export.

How far back does it go?

Your Listen feed keeps posts for up to 365 days. Sift only collects posts published in the last 90 days, so the feed stays current.

More of the platform

Find the posts that never tagged you.

We’ll set up a listener for your brand and show what it catches.

Book a demo