Social listening that scaleswith your agency
Every client gets an isolated workspace with its own keywords, filters, and API keys. Your team manages monitoring, alerts, access, and usage from one agency account — and delivers the results wherever each client already works.
Isolated client workspaces • One agency account, one bill • API + MCP includedWe moved our staging stack to Fluxbase last month — the DX is honestly great
Positive2mFluxbase CLI fails on Node 22 — found a workaround, posting for others
Neutral18mFluxbase raises Series B to take on legacy backend platforms
Neutral1hDX praise is trending after the migration-guide push. The CLI bug thread is flagged for their team; the Series B story goes in Friday's digest.
Trusted by brands people talk about online
Managing 50 Clients Should Not Mean 50 Disconnected Tools
Most listening platforms are built for one brand with one team. Run an agency on them and you're stitching together logins, exports, and spreadsheets — or paying enterprise prices per client.
Client data can't bleed
Agencies run competing brands side by side. Every client needs their own keywords, their own relevance training, and hard walls around their data — feedback on one brand can never skew another's feed.
Nobody wants another dashboard
Your team lives in Slack, email, and the reporting stack you've already built. A listening tool that demands its own tab to check gets ignored by week three — the data has to come to where the work happens.
Scale breaks the tooling
At 20, 30, 50 clients, keyword limits, per-brand pricing, and manual setup stop being annoyances and become the bottleneck. Onboarding a client should be minutes of configuration, not a procurement cycle.
One Account. Every Client. Full Control.
The structure agencies actually need: isolated workspaces per client underneath a single agency account that owns access, usage, and billing.
Per-client delivery
Isolated client workspaces
One agency account
Separate workspaces per client
Each client's keywords, mentions, relevance training, and history live in their own workspace. Competing brands never share data.
Central agency administration
Members, permissions, budgets, and billing are managed once at the agency level — not per client login.
Shared mention & keyword pools
One pool of mentions and keywords, allocated across your roster. A quiet client's headroom covers a loud one's spike.
Per-workspace permissions & API keys
Scope your team — and each client's own integrations — to exactly one workspace. Every workspace gets its own API key.
Deliver Insight, Not Another Login
Octolens becomes infrastructure inside your client-delivery model — the data flows into the digests, dashboards, and agent workflows you already run.
Client digests on a schedule
Daily or weekly summaries per client, delivered to their Slack channel or an email list — account managers stop compiling and start advising.
Alerts where your team works
High-relevance and negative mentions land in the right client channel as they're found. No new tab to remember to check.
Your dashboards, fed by our API
Pull structured JSON into the reporting stack your clients already know. Your template, your branding — real data underneath.
Claude & MCP workflows
Point your agents at a client's workspace for research, briefs, and executive summaries. Provisioning a new client can be a prompt, not a checklist.
> New client signed: Fluxbase.
> Set up monitoring in their workspace.
⏺ add_keyword("fluxbase")
⏺ add_keyword("fluxbase cli")
⏺ create_feed("Fluxbase — high signal")
⏺ add_feed_destination(slack: "#fluxbase-mentions")
Done. Monitoring is live — relevant mentions
will start landing in #fluxbase-mentions.Workspace setup is programmable: keywords, feeds, and destinations can be created over MCP or the REST API, so onboarding a client is minutes, not a checklist.
The Listening Operation Behind Your Services
Every use case runs in the app or over MCP, REST, webhooks, and the CLI — build it once, roll it out to every client on your roster.
Brand & competitor monitoring
Every client's brand, products, and competitors tracked across 15+ platforms — scored for relevance and sentiment per brand, routed to that client's channel.
keywords per client → AI filter → client Slack
Topical & trend discovery
Track the categories your clients want to own. Spot rising conversations, recurring complaints about incumbents, and angles for the next campaign before they peak.
industry terms → weekly rollup → campaign angle
Executive presence opportunities
Surface the threads, podcasts, and newsletters where a client's founder or exec should be in the conversation — while a reply still carries weight.
topic feed → opportunity list → exec briefing
GEO & AEO research
Map where a client is cited across Reddit and the UGC platforms AI engines read — and where they're invisible. The gaps become the plan you sell next quarter.
search {client} across sources → gap list → GEO plan
Influencer, community & podcast outreach
Find the authors, hosts, and community voices already talking about a client's space — with the receipts of what they said, ranked by how often they show up.
mentions by author → shortlist → outreach
Automated client reporting
Pull mention volume, sentiment, and share of voice per client through the API into your own report template. Real numbers, your branding, zero screenshots.
API pull → your template → branded report
Terms That Fit an Agency, Not One Brand
Legacy listening platforms price per brand and gate the API behind enterprise tiers. Agency plans on Octolens are shaped around a roster — workspaces, volume, and how you package the service.
Start with a few workspaces
Prove it on a handful of retainers before rolling out the roster. No platform migration, no annual minimum to get started.
Scale as your roster grows
Mentions, keywords, and workspaces expand with your client count. Onboard or offboard a client without renegotiating a contract.
Shared pools or usage-based
Run one shared mention pool across every client, or usage-based terms that map cost to what each client actually consumes.
Package it into your service
Agency terms leave room to bundle listening into retainers. The API returns clean data with no Octolens branding — your reports, your deliverable.
Replacing a legacy platform? Brandwatch contracts run around $50k/year and Meltwater around $25k/year (Vendr medians) — per brand, with sales cycles and annual minimums. Bring your current contract to the call and we'll map it honestly, including what we don't cover.
Get agency pricingAgency Questions Answered
Each client lives in their own workspace: their keywords, mentions, relevance training, and history are isolated from every other client's. Feedback you give the AI on one brand never skews another's feed — which matters when you run competing brands side by side. Permissions and API keys are scoped per workspace, so neither your clients nor their integrations can ever see across the wall.
No. Your whole roster runs under one agency account — one login, one subscription, one invoice — with an isolated workspace per client underneath it. Your team switches between workspaces from the same login; members, budgets, and billing are managed once at the agency level.
Agency plans are shaped around your roster: how many client workspaces you need, expected mention volume across them, and whether you want one shared pool or usage-based terms per client. There are no per-seat fees. Because rosters differ, we price it on a short call — bring a client list and you'll leave with a number you can plan around.
Yes. Keywords, feeds, and routing destinations can all be created over the REST API and the MCP server, so onboarding a client can be a script — or a prompt to your agent — instead of a manual checklist. For per-client workspace provisioning at agency scale, our team sets the flow up with you.
Whatever cadence your workflow needs. Webhooks push mentions as they're found, Slack and email digests run on your schedule, and the API lets you pull batches daily, weekly, or every fifteen days if that's all your reporting requires.
Yes. The REST API returns structured JSON — mention text, platform, sentiment, relevance score, tags, and URL — that you can pull into your own report templates, dashboards, or client portals. Webhooks push the same data in real time. Nothing forces your clients into the Octolens UI or branding.
Yes. Invite client contacts into their own workspace and they see exactly their data — nothing from the rest of your roster. Permissions are set per workspace, so you decide whether a client can only view mentions or also manage their keywords and feeds.
AI engines form their picture of a brand from Reddit threads, reviews, news, and community posts. Octolens maps where a client is mentioned — and where they're absent — across those source platforms, which is the input data for GEO strategy and content plans. To measure how AI assistants actually answer questions about a client, pair it with a dedicated AI-answer tracker; the two work well together.
Reddit, Twitter/X, LinkedIn, Hacker News, GitHub, YouTube, TikTok, Bluesky, DEV, Product Hunt, Stack Overflow, Medium, podcasts, newsletters, and news — all through the same endpoint, all pre-scored for relevance and sentiment. News means online news publications, not TV or radio transcripts.
Not today, and we'd rather tell you that plainly than dodge it. Meta doesn't offer a compliant API for third-party keyword listening, so tools claiming Instagram or Facebook coverage are typically scraping — which breaks without warning and puts your client work at risk. Octolens focuses on the open platforms where public conversation actually happens: Reddit, X, LinkedIn, YouTube, TikTok, Hacker News, news, podcasts, and ten more. If reliable Meta coverage becomes possible, it's at the top of our list.
Each new keyword gets a short backfill — roughly the previous week on most platforms — and collects continuously from there. Octolens isn't a historical archive: if a post went up a month before you started tracking, we can't retroactively pull it. The practical move is to add keywords the day a client signs, so the archive builds from day one. Once captured, mentions stay stored even if the original post is later deleted, so your reporting doesn't quietly lose data.
Agencies run social listening and social media monitoring as a service layer: brand and competitor monitoring per client, campaign and launch tracking, trend discovery for pitches, and executive visibility opportunities. The difference at agency scale is structure — each client needs isolated data, its own filters, and delivery into the client's own channels. That's what per-client workspaces under one agency account are for.
Legacy contracts run around $50k/year for Brandwatch and $25k/year for Meltwater (Vendr medians), typically priced per brand, with sales cycles, annual minimums, and API access as an enterprise add-on. Octolens is built the other way around: isolated workspaces per client under one agency account, API, MCP, and webhooks included, and terms shaped to a roster. The trade-off is honest: legacy suites bundle PR databases and consumer-brand panels we don't have. If your clients' audiences talk on Reddit, X, LinkedIn, YouTube, and the open web, we cover where the conversation actually happens.
No. Workspace setup, keywords, and Slack and email routing are all no-code — most agencies start there. The API, MCP server, and webhooks are for when you want mention data inside your own reports, automations, and agents. Start with routing, add workflows when you're ready.
Build a Listening Operation Your Clients Can Trust
15 minutes. Bring a client list — we'll map it to workspaces and routing, show you the API live, and you'll leave with agency pricing you can plan around.
See How Other Teams Use Octolens
Founders
Stay close to your users while you scale. Catch issues early, find leads, and know what your market really thinks.
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Track brand health, measure campaign impact, and monitor competitors — all from one dashboard.
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Show up where developers talk about you. Respond in minutes, not days. Correct misinformation before it spreads.
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Give your agents real-time social data via MCP, API, or webhooks. Build automations that act on live conversations.
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