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Listening is your feed of real conversations where your brand or a competitor comes up across Reddit, Hacker News, and Bluesky. These are the discussions people have on the open web, the same places AI answer engines read and learn from, so watching them is how you spot praise, complaints, and competitive comparisons before they shape what AI says about you.
The MentionScout Listening page showing recent conversations with source, brand, sentiment, relevance, and date columns

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What you are looking at

Each row is a single conversation, like a Reddit post, a Hacker News thread, or a Bluesky post, where your brand name or one of your tracked keywords showed up. The feed loads your most recent matches newest first, so the freshest discussion always sits at the top. The page only fills in once you have a website selected. If you see Select a website to see its conversations, switch to a website first.

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What each column shows

The title or text of the post, which links straight to the original thread when a link is available. Underneath you may see the channel it appeared in (such as a subreddit) and the author. A Cited by AI badge here means this same conversation was later linked as a source inside an AI answer.
Where the conversation happened: Reddit, Hacker News, or Bluesky, each shown with its logo.
Who the conversation is about. A You badge means it mentions your brand, and a named badge means it mentions that competitor.
How the mention reads in context: Positive, Neutral, or Negative. A muted n/a means sentiment was not scored.
A score from 0% to 100% for how confidently the match is really about your brand or competitor, rather than a coincidental use of the same word. A muted n/a means it has not been scored yet. Click the column header to sort by it.
When the conversation was posted. Click the column header to sort by it. The feed opens sorted by date, newest first.

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Filter the feed

The toolbar above the table narrows the feed to what you care about. Filters combine, so you can stack them to zero in on, for example, negative competitor mentions on Reddit in the last week.
1

Pick a time range

Open the date picker and choose Last 7 days, Last 30 days, or Last 90 days. The feed filters by when the conversation was posted, not when it was found. The default is 30 days.
2

Set the signal level

The feed defaults to High signal, which hides low-relevance noise so you only see conversations worth reading. Switch to All conversations to include lower-relevance matches.
3

Filter by source

Open the source picker to limit the feed to Reddit, Hacker News, or Bluesky. Each option shows how many matches it has in the current view.
4

Filter by sentiment

Open the sentiment picker and choose Positive, Neutral, or Negative to focus on how you are being talked about.
5

Filter by subject

Open the subject picker and choose You to see only conversations about your brand, or Competitors to see only conversations about your rivals. Each option shows its count.
Negative mentions and competitor comparisons are the highest-value rows here. They tell you where the open web is shaping a story about you that AI answers may pick up next.
Seeing an empty feed under High signal? Switch to All conversations to include lower-relevance matches, or widen the time range.

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Configure what you monitor

Tune which platforms and terms Listening watches from Settings then Listening. Your brand name is always monitored; everything here adds to or refines that.
The MentionScout Listening settings page with source toggles and keyword fields
1

Choose your sources

Toggle Reddit, Hacker News, and Bluesky on or off. Turn off any platform you do not want in the feed.
2

Add extra keywords

In Extra keywords, enter comma-separated terms to track in addition to your brand name, such as a product line or an acme alternative style phrase. These are searched across every source you have enabled.
3

Exclude noisy terms

In Excluded terms, list comma-separated words to ignore. This is useful when a competitor’s name is also a common word that floods the feed with unrelated matches.
4

Narrow Reddit to subreddits

In Reddit subreddits, enter comma-separated subreddit names to restrict Reddit matches to those communities. Leave it blank to search all of Reddit.
5

Save

Click Save to apply your changes. New settings take effect on the next round of monitoring.
Extra keywords may be capped by your plan. If you hit the limit, you will see a message telling you the maximum your plan allows.

Sources

See which sites AI answer engines actually cite, the other half of your community picture.

Competitors

Manage the rivals tracked in the Brand column and the subject filter.

Concepts

How AI Visibility, Community, and Setup fit together.
Last modified on June 26, 2026