Octolens
Octolens · Marketing
Octolens is an AI social listening tool for B2B SaaS teams. It tracks brand and competitor mentions on 15+ platforms, scores relevance, and sends the important ones to Slack, email, or its API.
About Octolens
What Is Octolens
Octolens is a brand monitoring tool for companies that sell software to other companies. It watches public conversations on Reddit, X, LinkedIn, Hacker News, GitHub, Stack Overflow, review sites, and a handful of other sources, then uses an AI model to decide which posts deserve a human reply.
The problem it solves is noise. A keyword like your company name can pull in hundreds of mentions a week, most of them job posts, unrelated product names, or spam. Octolens ranks each mention high, medium, or low relevance and tags it with sentiment and intent, so a marketing or support team can work from a short list instead of a wall of posts.
The limit worth knowing up front is that Octolens is a listening and routing layer. It scores and delivers mentions, but you still answer people on the platform where they posted. It's also tuned for B2B and developer audiences, so consumer brands get less out of sources like GitHub and Stack Overflow.
Getting Started
- Sign up with a work email and start the 7-day trial, which includes Pro features and up to 5,000 mentions with no credit card.
- Paste your website. The onboarding pulls your company description and suggests keywords, including competitor names.
- Review the keyword list and add product names, misspellings, and category terms you care about.
- Pick where alerts should go: Slack channels, email, a webhook endpoint, or your own agent through the MCP server.
- Set a relevance threshold, usually high only at first, and adjust once you see what the AI filters out.
Product Information
A quick look at Octolens's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- B2B SaaS marketing teams
- Developer-tool founders
- Support and DevRel teams
Tasks
- Brand mention monitoring
- Competitor mentions tracking
- Social listening API work
Scenarios
- A negative thread starts on Reddit
- Weekly reporting to leadership
- Product feedback collection
Key features
AI Relevance Scoring
Every post gets a high, medium, or low relevance score based on how your business is described during onboarding. You choose whether alerts fire for all mentions or only the top tier, which is the default. In practice this is the feature that decides whether the tool feels useful or exhausting.
Coverage Across 15+ Platforms
Pro covers Reddit, X, LinkedIn, YouTube, TikTok, Bluesky, Facebook, Instagram, Hacker News, GitHub, Stack Overflow, DEV, and reviews from Trustpilot, the App Store, and Google Play. Scale adds podcasts, newsletters, web pages, and news from 150k+ outlets. Reddit monitoring and Hacker News monitoring work the same way as the rest, one keyword list for all sources.
Delivery Through API, Webhooks, and MCP
API access, webhooks, and an MCP server ship on every plan, not just Enterprise. Each mention arrives as structured JSON with sentiment, relevance, and tags, so a social listening API integration takes an afternoon rather than a quarter. The MCP server lets Claude, ChatGPT, or Cursor query your mentions directly.
Sentiment and Intent Tags
Posts are labeled positive, negative, or neutral and tagged by type, including buy-intent, customer testimonial, and promotional. That's what separates a raw feed from a queue you can act on: a negative post with switching language looks different from a negative post about a competitor's outage.
Slack Alerts and Workflow Integrations
Slack alerts let you choose which relevance levels reach which channel, and native integrations push mentions into Attio as CRM records or into PostHog's warehouse for SQL queries. A daily brief email summarizes the previous day if nobody wants another dashboard login.
Analytics and Share of Voice
The dashboard tracks mention volume, sentiment over time, and share of voice against competitors you list. CSV export covers teams that report in a spreadsheet, and the Scale plan adds unlimited data history instead of Pro's two years.
Pros and cons
Pros
- Relevance scoring is genuinely selective, so a small team can handle a large mention volume without hiring a dedicated analyst.
- Developer-community coverage is unusually deep, with GitHub, Stack Overflow, DEV, and Hacker News alongside the usual social networks.
- API, webhooks, and MCP on every plan means automation isn't locked behind an enterprise contract.
- Flexible mention pricing with a spend cap avoids the surprise overage invoice that plagues this category.
- Setup takes minutes, and unlimited seats make it cheap to give the whole team access.
Cons
- Pro caps keywords at 10 and refreshes hourly, so fast-moving crises need the $499/mo Scale plan for real-time checks.
- Keywords only backfill 7 days, which rules out deep historical analysis of a market you just started tracking.
- There's no reply or publishing tool, so your team still switches to Reddit, X, or LinkedIn to respond.
- Podcast, news, newsletter, and web coverage sit behind Scale, so smaller teams monitor a narrower slice of the conversation.
Frequently asked questions
It monitors public posts that mention your brand, competitors, or chosen keywords, scores each one for relevance and sentiment, and delivers the relevant ones to Slack, email, webhooks, its API, or an MCP server. It's a filtering and routing tool, not a social media scheduler.
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