Your work is out there.
Know everything
that happens to it.
What everyone thinks about it, who is pretending to be you, and what is turning against you — answered from a single read.
Not a listening tool with a dashboard bolted on. One intelligence layer over how your work, your brand and your talent are received: per-platform sentiment, impersonation and likeness defence, and reputation threats ranked by how fast they are spreading — same read, same evidence, same console.
- capabilities
- 3capabilitieson one read
- platforms scored
- 6platforms scorednever blended
- monitoring
- 24/7monitoringhourly at its fastest
The platform
Three jobs your teams buy separately. One read underneath all of them.
The expensive part is the fetch — finding the page and getting past the anti-bot wall. Once it is in hand, asking who posted it, whether the account is really you, and how the comments underneath feel are three cheap questions against one expensive answer. A stack of separate vendors pays for that fetch three times and still cannot line the results up on one timeline.
Impersonation & likeness
Defend the person
Fake accounts, fraudulent support pages, and unauthorized use of a name, image, voice or likeness — including synthetic media.
Sentiment intelligence
Read the room
Aspect-level reception scored per platform, off pages the same read already fetched. What is praised, what is criticised, and where.
Reputation threats
See it early
Impersonation, likeness misuse and pre-release leaks ranked by how fast they are spreading, not by when they were found.
One console
Two different problems, two regions, one screen.
A fake account does not open in one country and wait its turn, and the reaction to your work does not arrive in the tool you happen to be looking at. They land here together, because they came off the same pass.
Face-swapped promo clip of the lead reshared across four accounts
Same edit, four uploads · spreading fastest on the newest one
South Asia
How is “Dhurandar” tracking ahead of release?
Dhurandar is generating strong pre-release buzz. Telangana and Andhra Pradesh lead engagement; the trailer’s action sequences and BGM are the top praise drivers.
Product preview · wording illustrative
Reception outside India climbing — runtime the only open question
Aspect-level, scored per platform rather than blended
Europe
Sentiment intelligence
A single positive score is the one number that tells you nothing.
Comment threads under a review, the reply chain in a private channel, the argument in a Reddit thread, the notes under a listing page — one pass fetches all of it. What comes back is not a mood ring: it is which part of the work is being talked about, on which surface, and whether that changed today.
What the talk is about
IllustrativeShare of conversation, with a verdict on each slice.
- Finale & plot
- Praised30%
- Cast & performances
- Praised24%
- Music & score
- Praised15%
- Writing
- Mixed15%
- Pacing, episodes 4–7
- Criticised10%
- Off-screen & personal
- Criticised6%
Pacing is 10% of the conversation and the only part worth fixing. Averaged in with the other five, it disappears behind four good ones.
What changed today
LiveA score tells you where things stand. Only movement tells you what to do.
Negative narrative forming
2m agoA misleading clip is being reshared with a false caption. Negative mentions up sharply on X and in private channels — and it is the same three accounts driving every reshare.
Sentiment shift on lead actor
26m agoAn out-of-context interview clip is gaining traction. Negative share on X up 12 points in an hour, everywhere else flat — so it is one clip, not a turn.
Buzz spike, and it is good news
1h agoFinale conversation up 34% across YouTube and Reddit, positive-led. The renewal announcement has a window while attention is already here.
Recovered
3h agoThe casting debate has cooled — positive share back to 82%, and the three accounts that were amplifying it have gone quiet since this morning.
Every one of those can name the accounts behind it, because the read that scored the reaction is the read that resolved who was posting.
Scored per platform, never blended
A thousand quote-tweets and a thousand Reddit comments are not the same signal. Each surface is read and reported on its own terms, because which one a reaction came from changes what it is worth.
Where criticism gets specific
Long-form argument — a complaint arrives with a reason attached, which is what makes it scoreable per aspect.
X
Where a narrative forms
Fast and directional. The earliest signal that a take is about to become the take.
YouTube
Where reception is sustained
Threads under reviews and reaction videos keep scoring long after launch week.
Messaging channels
Where it is said unguarded
Group chats and broadcast channels — reaction from an audience that is not performing for anyone.
Social
Where the mainstream lands
Instagram, TikTok, Facebook, LinkedIn — and the surface impersonation appears on first.
Press & forums
Where it gets settled
Coverage and niche forums, where an early rumour is either substantiated or dies.
Sentiment console
The headline mood is where you start. The row that disagrees with it is the product.
Season 3 opens on the number every listening tool sells: one figure, its split, and the rooms the conversation is in. Switch assets and the same read comes apart by platform — and on both of those the surface breaking the pattern is the one with an impersonation or a likeness edit moving underneath it.
Series · 8 episodes
Last 14 days · all surfaces
Swept 14,283 sources across social, forums, news and video. Here is the mood, and where the conversation is happening.
Reddit · r/television
4.2k comments · finale debate
X · trending
#Mirzapur · 22k posts
S3 finally gave Golu the arc she deserved. That last 20 minutes was worth the three-year wait.
Great performances, but the middle four episodes really dragged. Could have been a six-episode season.
The Kaleen bhaiya vs Guddu cold war is the best written rivalry on Indian TV right now. No debate.
There is a verified-looking account running a fake S3 cast meetup contest and people are handing over their details. Sort it out.
Waiting three years for a cliffhanger ending again. S4 better not take until 2029.
Product preview · posts illustrative
Reputation threats
Some of what damages you never shows up in a sentiment score.
A synthetic video of your lead actor, a support account collecting card details under your logo, an unreleased track in a fan thread — none of these move a positivity number until the damage is already done, and all of them surface on the same pass.
Synthetic or manipulated media using a face or voice
Tracked as one incident across every account resharing it, so the alert says how far the edit has travelled rather than how many times it appeared.
Accounts posing as the brand, the talent or the support desk
Verification asks whether this is posing as you or is a fan page, a news account, or your own verified profile — before it reaches your feed.
Unreleased material being discussed before the drop
Hourly monitoring exists for this window. Ranked by spread rather than by discovery time.
All three are ranked by spread rather than by timestamp. A three-day-old fake account with two hundred followers is not the emergency a six-hour-old one with two hundred thousand is, and a queue sorted by discovery time buries the second under the first — so the thing at the top of the list is the thing still getting worse.
Before it spreads. Before it sticks.
One read. Every answer.
Bring one title, one mark or one name. We will read six platforms and come back with what is actually being said about it, which part of it is being praised and which is being criticised, the impersonations and likeness misuse we found on the way, and what moved this week — on one timeline, from one pass.
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