Octolens is an AI social listening tool for B2B SaaS and developer brands, positioned as "social listening for the age of agents." It helps teams centrally monitor discussions about their brand and competitors across the web, and uses AI to filter out irrelevant content, pushing the truly important mentions into workflows the team already uses.
In terms of use cases, Octolens mainly covers several scenarios: brand reputation monitoring, used to see what others say about the brand, correct misinformation with facts, and observe sentiment changes; competitor monitoring, tracking complaints publicly expressed by competitor users, comparison discussions, and switching moments; customer feedback collection, using AI to tag feature requests, bug reports, and praise that was not proactively communicated and route them to the appropriate team or agent; and detecting public discussions that influence AI recommendation results, so the brand appears in the public records that models actually read.
In terms of main capabilities, Octolens can monitor 13+ platforms, including Reddit, X, LinkedIn, GitHub, Hacker News, Bluesky, YouTube, Stack Overflow, DEV.to, podcasts, news, newsletters, and more, with new sources continuously added. AI evaluates each mention for relevance (high, medium, low) based on business context, and labels sentiment and category (such as purchase intent, customer testimonial, promotional content). For brands with common words such as "Apple" and "Amazon," AI filtering can prevent noise from drowning them out. Mentions can be delivered in real time via Slack, email, or Webhook; all plans provide an API, MCP server, and Webhook, and MCP supports querying mentions in natural language in compatible tools such as Claude and Cursor. Webhooks are also compatible with Discord and can be routed through automation tools such as Zapier, n8n, and Make.
In terms of how to use it, users first select and tune keywords, and Octolens helps optimize them and scores each mention based on company context; then they create filtered feeds, or use preset brand monitoring, competitor intelligence, and purchase intent feeds; finally, they send data into their own tech stack via API, Slack, email, Webhook, or MCP to build automations, reports, or let Claude ask questions directly. The product offers a 7-day free trial, with access to up to 5,000 mentions, and includes all features of the Pro plan, with no credit card required.
The applicable scenarios are mainly B2B SaaS teams, developer relations teams, andteams that need to converse with users, helping them respond faster, stop the spread of misinformation, and collect real product feedback. Officially, it is said that 1,000+ companies already use it.
Limitations and information not provided: monitoring coverage varies by platform and keyword mention volume, and specific platform coverage information should be referenced in the product documentation. On pricing, the official page only shows tiered information billed annually and the overage billing method: the basic tier has 15,000 mentions, covers all social and community platforms, refreshes hourly, and includes API, Webhook, MCP, Slack, and email alerts; the second tier has 50,000 mentions, additionally covers podcasts, news, web pages, and newsletters, and refreshes in real time; higher tiers are aimed at community brands, supporting multiple workspaces, unlimited mentions, unlimited keywords, and custom AI agents; the highest tier is aimed at viral brands. Mentions exceeding the plan quota are billed at the plan rate, as low as $0.01 per mention, and a monthly spending cap can be set or flexible mentions can be turned off; additional keywords start at $5 per month. There is currently no mobile app, and the official statement says one may be developed if there is enough demand. Other specific price figures, the full cost of each tier, more platform coverage details, and specific performance data are not yet provided.
