Find the conversations worth joining
Bolta watches the competitors, topics and threads you care about, then hands you a shortlist with a reply already drafted in your voice. Nothing is sent under your name until you approve it.
See what this agent would say for you
Paste your website or a social handle. The agent reads it and writes one sample reply in your voice — nothing is sent, followed, or posted anywhere.
- LinkedInToday, 9:10 AM
Reply to a stalled-migration post: "The thing that usually stalls these isn't the data mapping…"
ApproveEditReject - XToday, 9:10 AM
Reply on attribution plumbing: "Most attribution problems I see aren't modeling problems…"
ApproveEditReject - RedditToday, 9:12 AM
r/RevOps hiring thread: "Most Series A teams don't need a full-time ops hire yet…"
ApproveEditReject
Nothing in this queue goes out until you approve it.
What the listening agent does
Monitoring is not the deliverable. A shortlist you can act on in ten minutes is. The listening agent runs on a schedule, reads the platforms you have connected, and returns conversations with a drafted reply attached to each one.
Watches the accounts and topics you name
Give it competitors, keywords, and the two or three subjects you want to be known for. Each run reports what actually moved on your connected platforms instead of dumping an unfiltered feed on you.
Filters for relevance, not volume
The agent uses your Business DNA to judge whether a thread is worth your name on it. A busy thread you have nothing to add to is noise, and it gets left out.
Drafts the reply, not just the link
Every surfaced conversation arrives with a reply written through your voice profile — the specific comment, in your register, sized for the platform it belongs to.
Runs on your cadence
Listening is configured as a scheduled agent job. Twice a day, once a week, weekday mornings — the run happens whether or not anyone remembers to scroll.
Hands every draft to you
Drafted replies land in the Approve tab at /dashboard/hub next to your scheduled posts. Approve, edit, or reject. Rejections and edits are the signal that tunes what the agent surfaces next.
Feeds your own posting
The questions you keep seeing in other people's comment sections are your content calendar. What listening turns up can seed the next round of drafts instead of dying in a browser tab.
A worked example
Halden Ops is a three-person revenue-operations consultancy. They have connected LinkedIn, X and Reddit, and told the agent to watch two competitors, the phrase "HubSpot migration", and anything about attribution breaking after a CRM change. Their Business DNA says they do implementation work for Series A and B teams and explicitly do not resell software. Here is one morning run.
The thing that usually stalls these isn't the data mapping, it's that nobody agreed on what a qualified lead is before the migration started. We've seen teams spend six weeks rebuilding lifecycle stages in the new CRM that were already broken in the old one. Worth freezing the definitions in a doc first, then migrating against that. Cheaper than doing it twice.
Most attribution problems I see aren't modeling problems, they're plumbing problems. UTMs get rewritten at the redirect, the form pushes a different source than the ad platform, and then everyone argues about last-touch for a month. Check the handoff before you change the model.
We got asked this a lot last year. The honest answer is that most Series A teams don't need a full-time ops hire yet, they need someone to write down the process once so it stops living in three people's heads. If you do hire, index on someone who has cleaned up a messy instance rather than someone who has only built greenfield. Very different skill.
You decide what gets said
Listening agents are the place where automation usually goes wrong, because a bad reply under your name is worse than silence. So the drafted reply is where the agent stops. Every one lands in your approval inbox with the source thread attached, and it sits there until you approve it, edit it, or reject it. There is no setting that skips this step.
- LinkedInToday, 9:10 AM
Reply to a stalled-migration post: "The thing that usually stalls these isn't the data mapping…"
ApproveEditReject - XToday, 9:10 AM
Reply on attribution plumbing: "Most attribution problems I see aren't modeling problems…"
ApproveEditReject - RedditToday, 9:12 AM
r/RevOps hiring thread: "Most Series A teams don't need a full-time ops hire yet…"
ApproveEditReject
Nothing in this queue goes out until you approve it.
What it does not do
The honest list. Knowing where the agent stops is the reason teams trust what it hands over.
- —It does not reply, comment, or post anything you have not approved. There is no auto-send mode.
- —It cannot see platforms you have not connected. If your Instagram is not connected, nothing on Instagram is monitored.
- —It does not manage your DMs or private inbox as part of listening.
- —It does not invent client names, case studies, or numbers. Replies are grounded in the Business DNA you gave it, and if the fact is not there, it does not get claimed.
- —It does not run paid ads, buy promoted placements, or spend money on your behalf.
- —It is not a sentiment dashboard or a share-of-voice reporting tool. The output is a shortlist of conversations with drafts attached, not a chart.
Agentic listening vs. AI bolted onto a scheduler
| What you're comparing | A traditional scheduler | Bolta |
|---|---|---|
| What a run produces | A feed of mentions and keyword hits | A shortlist of conversations, each with a drafted reply |
| Who decides relevance | You, by reading everything | The agent filters against your Business DNA, you confirm |
| Getting from signal to reply | Copy the link, open a blank box, write it yourself | The draft is already written when you open the inbox |
| Voice | Whoever on the team is replying that day | Your voice profile, trained on writing you have approved |
| Cadence | Whenever someone logs in | Scheduled agent jobs that run without a human trigger |
| Coverage | The two platforms you actually check | Every platform you have connected, on the same run |
| Control | Full send access for anyone with the login | Approve, edit, or reject on every single draft |
| Learning | Static rules and saved searches | Your approvals, edits and rejections shape what comes next |
Delegation is the point, not monitoring
Most social listening tools solve the wrong half of the problem. They are very good at telling you that a conversation exists and completely uninterested in what happens next. So the tool fills up, someone skims it on a Tuesday, three links get starred, and nobody replies to any of them. The bottleneck was never awareness. It was the twenty minutes of writing that sits between seeing a thread and saying something useful in it.
An agent closes that gap by treating the reply as part of the job. When a listening run finishes, the deliverable is not a report. It is a small stack of drafts, each attached to the thread that prompted it, each written in your register and grounded in what your business genuinely does. Your work drops from research and writing down to a judgement call: yes, no, or yes with an edit.
That is the difference between a tool you operate and work you delegate. You are still the editor. You are no longer the one staring at a blank comment box at 9pm trying to sound smart about someone else's post.
Why replies outperform posting for small teams
If you are two people with a real client load, publishing your own content is a slow compounding bet. Replying is not. A specific, useful comment on a post that already has an audience puts you in front of exactly the people who care about the topic, on the day they care about it, without you needing a following of your own. The distribution is borrowed, and the credibility is earned in public.
The catch is that it only works if you are early and you are specific. Generic agreement four days late does nothing. That timing requirement is why replying is the first thing to fall off a busy week, and it is why a scheduled agent is a better fit for this work than a person who checks when they remember. The agent runs at 8am whether or not the week went sideways.
This is also why the drafts matter more than the coverage. Ten conversations with nothing written is a to-do list. Three conversations with a draft each is a two-minute task you will actually complete before your first call.
How the agent decides what is worth surfacing
The agent reads two things before it judges anything: your Business DNA, which is the brand context describing what you do, who you serve and what you refuse to claim, and your voice profile, which is trained on writing you have produced or approved. Together those act as a filter. A thread about a topic you have opinions about but no standing in gets dropped. A thread where your actual delivery experience is the missing piece gets surfaced with a draft.
Grounding also constrains the reply itself. The agent does not have licence to invent a client, a percentage, or a case study to make a comment land harder. If the supporting fact is not in your Business DNA, the draft argues from principle instead of fabricating evidence. That is a deliberate limitation, and it is the reason the drafts are safe enough to approve quickly.
Over time the brief tightens. Approvals confirm the read, edits show where the voice drifted, and rejections mark the categories that are not yours. Execution improves because you are supervising it, which is a very different loop from tuning boolean keyword rules by hand.
Where listening sits in an agent roster
Listening is rarely the only agent a team runs. In practice it pairs with a content agent that publishes your own point of view, so the questions you keep seeing in other people's threads become the posts you write next week. The two loops feed each other: listening tells you what the market is confused about, and posting is how you answer it at scale.
You can hire, pause and re-tune each agent independently. If a client goes quiet for a month, pause their listening job rather than deleting the brief. If a competitor launches something, add them to the watchlist and the next scheduled run picks it up. The roster is meant to be adjusted, not configured once and abandoned.
Frequently asked questions
What does Bolta's social listening actually monitor?
Does it reply automatically?
How is this different from a mentions feed or a saved search?
Will the replies sound like a bot?
Does it give me sentiment scores or share-of-voice charts?
Can one agent cover several clients or brands?
What happens to the threads I reject?
How much does AI social listening and reply cost?
The rest of the system
Listening is one preset among several, and the rest are listed on the full agent roster.
If most of your engagement happens under your own posts rather than other people's, look at the comment responder.
For a deeper read on what rivals are publishing and how their positioning is shifting, pair this with the competitor analyst.
Independent operators who win work through visible expertise can see the setup built for consultants.
Teams running listening briefs across several client workspaces should start with the notes for agencies.
Plans start at $19/mo with the approval step on every tier — the full breakdown is on pricing.
Listening from $19/mo
Entry plans start at $19/mo and include scheduled agent jobs, voice profiles and the approval inbox. You are paying for drafted, decision-ready conversations rather than for a monitoring feed you still have to read end to end. Every reply waits for your approval on every plan.
Done with one-off tools? Our AI agents handle this automatically, 24/7.
Bolta's AI agents learn your brand voice, create a full week of content, and publish across LinkedIn, X, Instagram, and Threads — automatically. Join 5,000+ creators.