Product overview
The social listening platform for B2B tech
Reputation, competitors and customer feedback across socials, communities, media and reviews. AI filters the noise and puts what matters in front of the right person.
7-day free trial · No credit card · API on every plan
Use cases
- Reputation Management
- Competitor Analysis
- Customer Feedback
- Content Production
- AI Visibility
- Build with Octolens
Octolens AI
Mention data
- Social media
- News & media
- Podcasts & newsletters
- Dev communities
- Review sites
- Web & blogs
From the people who use it
“I read through my Octolens digest daily. It's one of the things I always make time for.”
Why Octolens
Catch every mention. Act on the ones that matter.
Find mentions everywhere people talk, filter the noise with AI, and send the rest to your team and your agents.
Every platform, one feed
Reddit, X, GitHub, Hacker News, podcasts and news. Where your customers actually talk.
Common-word brands, no noise
Track names like "Apple" or "Linear". AI keeps only the posts that are about you.
Alerts where you work
Slack, email or webhooks. Mentions land in the channels your team already reads.
#brand-mentions
New high-relevance mention on Hacker News
AI scores every mention
Relevance, sentiment and intent on every post, so you only read what matters.
Switched to Octolens last month. The API alone is worth it.
u/senior_dev · Reddit
Our DevRel team runs entirely on @octolens now
@startup_ceo · X
Anyone used Octolens? Evaluating social listening tools
throwaway_eng · Hacker News
API, MCP & webhooks on every plan
Build on your mention data from day one. No enterprise tier required.
# Every mention, one endpoint
curl api.octolens.com/v1/mentions
-H "Authorization: Bearer $KEY"
# Structured JSON back
{ "source": "reddit",
"sentiment": "positive" }
How it works
From post to action, automatically
Every mention of your tracked keywords moves through the same pipeline: collected, understood, delivered.
Coverage
Socials, communities, media, reviews. All of it.
One keyword list covers every source below, in the same structured format.
Social media
Posts and comments where opinions form fastest.
Media
Articles, episodes and videos, including full transcripts.
Podcasts, news (150k+ outlets), newsletters and web are on the Scale plan.
Intelligence
Signal, not noise
AI decides whether a mention deserves your attention, using your company context, before it reaches you.
Relevance
AI checks every mention against your company context and scores it High, Medium or Low. This is what makes common-word brands workable.
Intent
Mentions get tagged by what they are: buy intent, user feedback, bug report, competitor mention, product question and more.
Sentiment
Positive, Negative or Neutral on every mention. One consistent model across all platforms, filterable everywhere.
Explore sentiment analysisLanguage
Every mention is labeled with its language, so global brands can route conversations to the right team.
Anyone using an AI-native social listening tool? Picking one for Q4
u/growthstack · Reddit
Our keyword alerts have been silent for two days — anyone else seeing gaps?
@mika_ships · X
Wir suchen ein Monitoring-Tool, das Reddit und LinkedIn wirklich abdeckt
Lena Hartmann · LinkedInDE
Show HN: I pipe our brand mentions into Linear as triaged issues
tomas_dev · Hacker News
AI roundup: the tools giving agents ears outside the codebase
The Signal Wire · News
Brandwatch quote came back north of $50k/yr — what are smaller teams using?
u/b2b_founder · Reddit
Switched mention triage to webhooks → tickets. Response time is now minutes
@caro_devrel · X
Honest review after 3 months: the AI relevance filtering actually holds up
DevTools Weekly · YouTube
Delivery
In your stack, not another dashboard
Slack, email, your CRM, your agents. API, webhooks and MCP are included on every plan.
Alerts
- Slack channels and email digests, filtered by sentiment, keyword or platform.
Reports
- Analytics, share of voice and the Daily Brief email, in the app, by email or via MCP.
Workflows
- Structured mentions through the REST API, MCP server and webhooks with retries.
Integrations
- Turn public mentions into CRM records with the Attio integration. More to come.
REST API
One endpoint for mentions across all platforms. Structured JSON with sentiment, relevance, and tags built in.
Explore the APIjavascriptconst resp = await fetch("https://app.octolens.com/api/v2/mentions", { headers: { "Authorization": "Bearer YOUR_API_KEY" }, method: "POST", body: JSON.stringify({ filters: { sources: ["reddit", "twitter"] }, limit: 10 }), }); const { data: mentions } = await resp.json();MCP Server
Query mentions directly from Claude, Cursor, Windsurf or any MCP-compatible AI tool. No integration code needed.
Set up MCPjson{ "mcpServers": { "octolens": { "url": "https://mcp.octolens.com/mcp", "headers": { "Authorization": "Bearer YOUR_API_KEY" } } } }Webhooks
Real-time push to any endpoint: CRMs, ticketing, internal tools. Configurable filters, automatic retries with exponential backoff.
Explore webhooksjson{ "action": "mention_created", "data": { "source": "reddit", "sentimentLabel": "Positive", "relevanceScore": "high", "url": "https://reddit.com/r/saas/...", "body": "Just switched to..." } }Slack & Email
Route mentions to Slack channels or email digests in real time. Filter by sentiment, platform, keyword or relevance, so your team only sees what matters.
Set up Slack# brand-mentionsOOctolens2:34 PMNegativeReddit“Tried setting up their API but the docs are missing examples for pagination...”
u/dev_sarah · r/devtools · 3m ago
PositiveX“Switched to @octolens last week. Finally one tool that covers Reddit + LinkedIn + HN.”
@startup_cto · 12m ago
Use cases
The jobs teams hire Octolens for
One stream of mentions, six ways to put it to work.
Brand & PR
Reputation Management
Know how your brand is perceived across the internet, and catch the posts that change it while a reply still helps.
Product marketing
Competitor Analysis
Their users complain, compare and switch in public. See competitors' strengths and weaknesses through what real people say.
Product
Customer Feedback
Feature requests, bug reports and praise nobody sent you. Collected, AI-tagged and routed to the team that can act.
Content
Content Production
Verbatim quotes, customer language and social proof from real conversations, the primary sources your writers and agents draft from.
SEO & AI search
AI Visibility
Find the conversations that shape AI recommendations, and show up in the public record the models actually read.
Developers
Build with Octolens
Use Octolens inside your own product or service. Mention data and AI filtering through one API.
See it in action
Three workflows, seven minutes
The setups customers run most: mentions in Slack, plus an AI agent writing competitor and feedback reports on a schedule.
Brand mentions in Slack
A dedicated channel where every relevant mention lands as it's found.
Weekly competitor pulse
A recurring Claude task that reports on competitor mentions every Monday.
Monthly feedback report
Feature requests and complaints across all keywords, grouped by theme.
Who it's for
Built for the people closest to the conversation
From the founder checking mentions over coffee to agents working the feed around the clock.
Founders
Your brand is your pipeline. See every mention of your company and competitors without living in feeds.
Marketing Teams
Share of voice, sentiment trends and copy sourced from the words real customers actually use.
Developer Relations
Catch technical questions on Reddit, Hacker News and Stack Overflow while a reply still helps.
Agencies
Run monitoring for every client from one place. Multi-workspace, API-first, easy to hand off.
AI Agents
Give your agents ears. Mentions as structured data through the API, MCP server and CLI.
For DevTools, SaaS and AI companies people talk about online
Who can use Octolens?
Octolens is built for brands people talk about online, from early-stage startups where the founder is the biggest user to enterprise DevRel and marketing teams. Our case studies with Vercel, PostHog and Juicebox show how brands use Octolens.
Can I try Octolens for free?
Yes. Start with a 7-day free trial to explore monitoring, filtering, and the API. No credit card required.
What platforms does Octolens monitor?
Reddit, X (Twitter), LinkedIn, Facebook, Instagram, Bluesky, TikTok, DEV, GitHub, Hacker News, Stack Overflow and YouTube, plus reviews from Trustpilot, the App Store and Google Play. The Scale plan adds podcasts, news from 150k+ outlets, newsletters and the web. New sources are added based on user demand.
Do I need a separate plan for API access?
No. REST API, webhooks, and MCP server access are included on every plan. There is no separate API add-on or premium tier required.
How can I receive mention data?
Via our REST API, MCP server (for AI tools like Claude and Cursor), webhooks for real-time push delivery, Slack integration, email digests or the Octolens dashboard. Use whichever combination fits your workflow.
What is the MCP server?
MCP (Model Context Protocol) lets AI tools query Octolens directly. Connect our MCP server to Claude, Cursor, Windsurf, or any compatible tool and your AI agent can search mentions, run analytics, and monitor sentiment without custom integration code. Learn more about MCP.
How does the AI relevance work?
Our models score and rank mentions by intent and importance, suppressing noise and prioritizing actionable conversations. We take into consideration your company and industry context to ensure you receive only relevant mentions.
Does Octolens monitor review sites?
Yes. Octolens syncs reviews daily from Trustpilot, the App Store, and Google Play, and runs them through the same AI filtering as every other mention. Review monitoring is included on every plan, including the free trial. Learn more about review monitoring.
7-day free trial
Start listening to your customers today
No credit card required · API access on all plans · Cancel anytime