Track · Scan · Analyze · Alert
How social listening works, step by step
Add your brand, products and competitors, and EyeOut scans every channel twice an hour, reads sentiment, emotion and themes with AI, rolls up share of voice and a daily digest, and gets you the spike or crisis alert first. Here is exactly how twice-an-hour brand monitoring runs, from the first keyword to a crisis caught early.
Twice-an-hour across Google News, Reddit, Mastodon, Hacker News, Lemmy and Apple Podcasts, with AI sentiment and a crisis radar that fires first. Self-serve mid-market pricing, cancel anytime.
The short answer
Social listening works in four steps. You tell the platform which brand, product, competitor and topic keywords to watch. It collects every public mention of those terms across the Google News, Reddit, Mastodon, Hacker News, Lemmy and Apple Podcasts. AI scores each mention for sentiment, emotion and theme and rolls them into share of voice and a daily digest. Then it compares each keyword's current volume against its own 7-day average and alerts you when the pattern genuinely breaks, rather than every time your name appears.
Setup takes minutes rather than an onboarding project, because the only thing you have to get right at the start is the keyword list. EyeOut runs all four steps twice an hour on every plan from $39 a month billed yearly, with seats included and no annual lock-in.
Brand monitoring, end to end
How social listening works in four steps
No dashboards to babysit and no mentions to chase by hand. EyeOut does the scanning, reading and alerting; you watch the conversation, your share of voice and the spikes that matter.
01 / TRACK
Add your brand and competitors
Tell EyeOut what to watch: your brand and products, your competitors, and the keywords and topics you care about. Setup takes minutes and you can refine what is tracked at any time.
02 / SCAN
EyeOut scans every channel
EyeOut scans Google News, Reddit, Mastodon, Hacker News, Lemmy and Apple Podcasts every 30 minutes, so a new mention is captured on the next scan after it is published, including the blind spots most tools miss.
03 / ANALYZE
AI reads sentiment and themes
AI reads every mention for sentiment, emotion and theme, clusters them into the topics driving the conversation, rolls up your share of voice against competitors, and writes a plain-English daily digest.
04 / ALERT
You get the spike alert first
EyeOut baselines each keyword against its own last 7 days, then alerts on the next scan when volume spikes, by email, Slack or webhook, with a severity level and a suggested first move so you act before it spreads.
See it for yourself
Watch the mentions stream in
Enter a brand and watch twice-an-hour mentions stream in across channels, each scored for sentiment by AI, while a crisis spike alert fires the moment volume jumps off its baseline. This is brand monitoring, live.
- Mentions stream in across Google News, Reddit, Mastodon, Hacker News, Lemmy and Apple Podcasts
- AI scores each one for sentiment, emotion and theme
- A spike or crisis alert fires with a severity level
- Each alert comes with a suggested first move
Start watching to see mentions from news, Reddit, Mastodon and forums with sentiment.
Sentiment
Share of voice
Negative mention spike detected
on Reddit and forums, up 320% vs baseline. Severity: High.
Suggested first move: review the batch threads and prepare a holding response before it spreads to news.
Interactive demo on a representative mention set. Your own workspace scans every source twice an hour.
Watch your own brand across news, Reddit and forums and get the alert when something spikes.
Every 30 minutes across Google News, Reddit, Mastodon, Hacker News, Lemmy and Apple Podcasts. AI sentiment, spike and crisis alerts.
Across the whole conversation
One platform tracks, reads and alerts
The same platform runs every stage of brand monitoring, so you are not stitching a scraper to a sentiment model to a spreadsheet to a Slack channel.
Cross-channel coverage
EyeOut scans Google News, Reddit, Mastodon, Hacker News, Lemmy and Apple Podcasts twice an hour, so a new mention of your brand is captured on the next scan after it is published, including the channels most tools skip.
AI reads sentiment and themes
AI reads every mention for sentiment, emotion and theme, clusters them into the topics driving the conversation, and rolls up your share of voice against competitors automatically.
Spike and crisis radar
EyeOut baselines each keyword against its own last 7 days, then fires a spike or crisis alert with a severity level and a suggested first move, so you catch a problem before it spreads.
What changes when you run EyeOut
Catch issues early, know your share of voice, get the week back
When AI reads the whole conversation instead of you skimming feeds, the outcome shows up as a clean daily digest and an alert that reaches you before anyone else.
Crisis caught early
EyeOut baselines normal and alerts on a real anomaly with a severity level and a suggested first move, so you act before a spike becomes a story.
Twice-an-hour, not yesterday
Every source is scanned every 30 minutes, so a new thread is picked up on the next scan instead of sitting unseen while it climbs.
Share of voice you can see
AI rolls up your share of voice against competitors, so you always know where you stand in the conversation.
AI reads it for you
Sentiment, emotion and theme clustering plus a plain-English daily digest mean you spend time deciding, not scrolling.
Coverage depends on what each source makes publicly available. EyeOut reads public mentions and is GDPR-ready, and you stay in control of what is tracked.
Go deeper
Explore how each part of brand monitoring works
Track every mention of your brand across Google News, Reddit, Mastodon, Hacker News, Lemmy and Apple Podcasts twice an hour.
ExploreGet the spike alert first, with a severity level and a suggested first move, before it spreads.
ExploreTrack competitors and see your share of voice in the conversation, side by side.
ExploreQuestions buyers ask
Common questions about how social listening works
How long does it take to set up social listening?
Minutes for the first version, two weeks for a good one. You can have your brand name, product names and two competitors tracked in a single sitting, and mentions start arriving straight away. The part that takes longer is tuning: after a fortnight you will see which term produces most of the noise and which obvious keyword you forgot, and one editing pass at that point does more for signal quality than anything you can decide on day one.
What is the difference between social listening and social monitoring?
Monitoring is reactive and granular: it catches individual mentions as they happen so you can respond to them. Listening is aggregate and strategic: it reads the whole conversation for themes, sentiment trends and share of voice so you can explain why something is happening. Monitoring tells you what happened, listening tells you why. EyeOut does both from the same feed, because they are the same data read at two different zoom levels.
How do social listening alerts avoid becoming noise?
By alerting on abnormality rather than on occurrence. Forty mentions on a Tuesday might be a normal morning for one brand and a genuine emergency for another, so a single fixed volume threshold is wrong in both directions. EyeOut learns a separate baseline for every keyword you track, weighs how much of a spike is negative, grades it by severity on Pro, and suggests a first move, which is what keeps the notification worth opening three months in.
Do you need a social media account for social listening to work?
No. Listening reads public posts and pages, so it works whether or not you run an account on a given network. That matters for B2B companies that get discussed on Reddit and in forums while having almost no presence there themselves. What you cannot do without an account is reply, so if listening keeps surfacing answerable questions, the account becomes worth having.
Stop missing mentions. Run social listening that alerts you first.
Add your brand and competitors and EyeOut scans every channel, reads sentiment with AI, rolls up share of voice, and gets you the spike alert first with a suggested first move. Self-serve, cancel anytime.
Twice-an-hour · AI sentiment · GDPR-ready