Social listening on autopilot:
every mention in one place, scored and tagged
Brand mentions scatter across Instagram comments, TikTok replies, Facebook groups and review sites, and most teams only see the ones someone happens to stumble across. We build a dashboard that pulls mentions across platforms into one place, scores sentiment and tags topics automatically, so a brewing issue or a viral moment is visible the day it starts, not the week someone forwards a screenshot.
The process today
A brand’s social presence generates mentions constantly, a comment on a post, a reply in a TikTok thread, a mention in a Facebook group, a line in a review, scattered across platforms that nobody is watching all at once. Most teams find out about a meaningful mention, good or bad, when someone internally happens to see it and forwards a screenshot, which means the ones nobody happens to see simply do not register at all.
This matters most in two situations that are structurally opposite but equally time-sensitive: a sudden spike in negative mentions about a real problem, which benefits enormously from an early response before it compounds, and a sudden spike in positive attention, a piece of content that is taking off, which benefits from a team noticing fast enough to lean into it with more content or a timely response while the moment is still live.
Without a systematic pull across platforms, both kinds of spikes are discovered late and by accident, and the slower, quieter signal, a gradual shift in how people talk about the brand that never produces one dramatic mention but adds up over weeks, is essentially invisible without a dashboard tracking the trend.
What the agent does
The model pulls mentions across the platforms you choose, Instagram, TikTok, Facebook, X, review sites, into one dashboard, scoring sentiment and tagging the topic of each mention so the feed is organised by what people are actually saying, not just a raw stream. An exclusion list, tuned during setup, filters out irrelevant mentions where your brand name collides with a common word, so the dashboard reflects real brand mentions rather than noise.
When mention volume jumps meaningfully above your normal baseline, a spike alert fires the same day, whether the spike is driven by a problem worth addressing quickly or a positive moment worth amplifying, giving your team a same-day window to respond instead of discovering the moment a week later from a screenshot. A weekly digest rolls up the top mentions, the dominant themes, and the sentiment trend over the week, so a marketing or community lead has a regular pulse check without needing to watch the live feed constantly.
The dashboard can split by platform, product line or campaign, so a team launching a new product can specifically watch how it is being talked about separately from the brand’s general mention volume.
What stays with humans
Responding to any individual mention, deciding how to handle a brewing issue, and any decision about amplifying a positive moment stay with your marketing or community team. The model surfaces, scores and alerts; it does not post replies or take public action on your brand’s behalf.
Guards
Every mention pulled is logged with its sentiment score and topic tag, so a team can audit the dashboard’s categorisation against the actual source mention. The exclusion list is reviewed against real mention data during setup to confirm it is not filtering out genuine mentions along with irrelevant namesake noise, and a kill switch pauses alerting in one message if needed.
Price and timeline
| Option | Price | What it covers | Timeline |
|---|---|---|---|
| Single automation | from $800 | Main platforms, sentiment and topic tagging, spike alerts | 7 to 12 days |
| Department package | from $2,500 | Social listening plus automated response drafting for flagged mentions | 2 to 4 weeks |
Running cost is usually $20 to $70 a month depending on mention volume and platform coverage.
Related
Pair this with review sentiment trend tracking so the same sentiment discipline applies to formal reviews, not just social mentions, and with competitor monitoring so your mention trends sit next to what competitors are experiencing. The full package breakdown is on the AI agents service page and the automation-everything overview; for real content and brand work, see the two-brand content agent case study and the SEO-driven digital expert site case study.
Ready to see every mention of your brand in one place? Get in touch and we will look at your platforms in the first call.
Tired of doing this by hand? We can take the whole routine off your team, not just this step: Routine takeover, from $400 →
FAQ
How much does a social listening dashboard cost?
From $800 for monitoring across your main platforms, live in 7 to 12 days. A department package adding automated response drafting for flagged mentions usually starts at $2,500.
Which platforms can it cover?
Instagram, TikTok, Facebook, X and review sites are the most common; coverage depends on what each platform's API or a monitoring provider exposes, and we confirm exact coverage for your brand before starting.
What happens if our brand name is also a common word?
An exclusion list filters out irrelevant namesake mentions, tuned during setup against a sample of real mentions, so the dashboard reflects mentions of your actual brand, not every unrelated use of a common word or phrase.
How fast does a spike alert fire?
Same day, typically within a few hours of mention volume crossing a threshold meaningfully above your normal baseline, so a viral moment or an emerging complaint reaches your team while there is still time to respond thoughtfully.
Can it tell us what people are actually saying, not just how many mentions there are?
Yes. Every mention gets a sentiment score and a topic tag, and the weekly digest summarises the actual themes in plain language, not just a volume count.