Hashtag clusters
Which tags rise together, and whether a conversation is jumping platforms or staying put.
Consumer & Retail
FMCG & Personal CareAyurveda & WellnessFood & BeverageDairy & Ice CreamBeauty & CosmeticsFashion & ApparelJewellery & GoldCommerce & Technology
E-commerce & D2CFood Delivery & Quick CommerceConsumer Tech & AppsSaaS & Enterprise TechTelecomHealth, Education & Media
Healthcare & HospitalsPharma & Life SciencesEdTech & EducationMedia & EntertainmentHashtags, mentions and keywords tracked from licensed post-level data on Instagram, X and Threads, refreshed every 30 minutes. Narrative clusters and author-type breakdowns, not a vanity mention count.
By the time it reaches a journalist it is a story. Here is what the three hours before that look like.
A customer posts a photo of a swollen pack on X with your hashtag. On its own, this is noise, hundreds of posts a week look like this.
The poll runs, and it arrives with six others from the same window. Every row is a real post with a real timestamp, not an index estimate.
Of the seven, five are first-time posters about your brand, one is a regional news account and one is a complaint aggregator. That mix matters more than the count.
Your hashtag starts co-occurring with a food-safety tag. That co-occurrence, not the raw volume, is the first honest sign this is about one issue.
38 posts against a normal 12 an hour. Because each row is a real post, this is a real spike, and it is safe to treat as one.
Not critical, social alone doesn't earn that. The brief separates what is known from what isn't, and a holding statement is drafted from the facts.
Three platforms are tracked live, at post level. Everything else is labelled as discovery, so you always know which tier of data you're reading.
Live listening
Discovery tier
Illustrative numbers. Your workspace runs on your brand's real data from day one.
Live · Instagram, X, Threads
PostsLast 7 days
Unique authorsWhere the platform reports it
Hashtag clusterCo-occurring this week
Instagram, X and Threads are collected directly as posts with real timestamps and authors, not inferred from a search index that can't tell a new post from a re-crawl.
Posts group into narrative clusters and hashtag co-occurrences, so a regulatory-risk conversation forming across three tags is visible while it's still small.
Complaint aggregator, news account, creator or ordinary customer. Four hundred comments read as what they actually are, rather than as one flat number.
Which tags rise together, and whether a conversation is jumping platforms or staying put.
Tell forty angry customers apart from one aggregator posting forty times.
When your audience actually posts about you, by hour and weekday, not a flattened weekly average.
Because every row is a real post, a spike here is real, and safe to escalate on. Index-based counts are not.
Your volume against every tracked competitor, measured the same way on both sides.
Where a platform only permits index-level discovery, the tile says so instead of quietly mixing it in.
Per-client listening with velocity against each brand's own baseline, so the call comes from you rather than from their CEO.
Author types and clusters show whether a spike is genuine reach or the same twenty accounts, before it goes in a report.
Complaint clusters and co-occurring safety tags surface a batch problem while it's still a handful of posts.
Every monitoring tool's page is wall-to-wall claims. Here is where the honest line sits.
Social Listening isn't a standalone tool. It feeds, and is fed by, every other layer Brillaince tracks.
Instagram, X and Threads, at post level. Facebook, LinkedIn, Reddit and Quora appear as discovery-tier results and are labelled separately so the two are never blended.
Because the platforms don't provide it for posts that aren't yours, to anyone. A tool showing you a reach number for a stranger's post is estimating. We'd rather show volume you can defend.
30 minutes by default, 15 minutes on Command tier, and it tightens automatically while a crisis is open on your own brand.
Any brand's. Competitor hashtag and keyword tracking runs on the same basis as your own, which is what makes share of conversation meaningful.
No. Public posts only, which is both the legal position and the honest one.
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