Octolens

• ▸Monitors brand, competitor, and keyword mentions across 13+ platforms including Reddit, X, LinkedIn, Hacker News, GitHub, YouTube, Bluesky, TikTok, podcasts, and newsletters
• ▸AI relevance scoring, sentiment analysis, and tagging (e.g. buy-intent, competitor complaint, product question) on every mention
• ▸Feeds: saved filters over mentions (Brand Mentions, Competitor Mentions, Buy Intent) that can be routed to a destination
• ▸Alerts via Slack, email, or webhooks
• ▸REST API and MCP server available on every plan for querying mentions, keywords, and feeds programmatically or conversationally
• ▸Agent Skills library: ready-made playbooks (e.g. turn mentions into Linear issues, weekly share-of-voice report) that run over the MCP server

Authentication

Bearer token (API key) for REST API; OAuth-style browser sign-in for MCP (no API key)

Base URL

https://api.octolens.com

Notable endpoints

• GET /v1/mentions - structured JSON mentions with source and sentiment

Machine-readable spec

No OpenAPI link

Published by the vendor themselves — not community forks.

• Turn mentions into Linear issues

  Catch bug reports and feature requests posted publicly and file them as Linear issues automatically.

• Build a wall of love from real mentions
• Surface early churn signals

  Flag negative mentions with switching language or blocked workflows, with a drafted reply ready for review.

• Find leads in public conversations

  Catch people publicly shopping for a competitor alternative, qualify against ICP, and draft openers.

• Write copy in real customer language

  Mine six months of mentions for the exact words customers use, then rewrite page copy from that vocabulary.

• Weekly share-of-voice report

  A weekly report on share of voice vs competitors with linked evidence.

• Top 5 posts to reply to today

  A daily shortlist of the five conversations most worth joining, each with a reply draft.

• Weekly competitor insights in Slack

  A weekly competitor digest in Slack: launches, complaints, switching talk, and openings.

• Grow your AI search visibility (GEO)

  Find Reddit threads, listicles, and comparisons AI engines cite where competitors appear and the brand doesn't.

• Build SEO pages from real conversations

  Use real search data to decide what pages to build.

Checked 2026-08-06 against their pricing page. Vendors change pricing without notice.

Octolens tracks brand, competitor, and industry-term mentions across 13+ online platforms and uses AI to assign relevance, sentiment, and category tags so teams only see mentions that matter. It ships as a dashboard plus API, webhooks, and a hosted MCP server (available on every plan) so mention data can be piped into Slack, a CRM, a ticketing system, or an AI agent.

Founders, marketing teams, and DevRel teams at developer-facing and B2B SaaS companies who want to catch product feedback, buy-intent signals, and competitor chatter across Reddit, Hacker News, GitHub, and similar developer-heavy platforms without manually watching many tabs.

The entry Pro plan is capped at 15,000 mentions and 10 keywords per month; brands tracking many competitors or broad industry terms will need the $499/mo Scale plan or custom Enterprise pricing to get real coverage. Podcasts, news, web, and newsletter coverage are not included on the Pro tier at all - only Scale and above add those source types. Teams that need social listening across consumer-facing platforms outside Octolens's developer/B2B-SaaS-oriented platform list may find coverage thinner than a general-purpose listening tool.

No curated rival set covers this tool yet, so these are simply other tools in the same architectural layer and product form. Treat it as a starting point, not a shortlist.

• Named list of MCP tool names (excerpts described tool categories but did not enumerate names)
• Social media links (LinkedIn, X, GitHub) for Octolens itself
• Rate limits for the REST API
• A machine-readable OpenAPI specification was not included in the reviewed source set.