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Octolens

Octolens

Octolens

Octolens monitors the web for keyword mentions, assesses posts with AI, & notifies you so you can jump into a conversation.

Updated 32m ago
PaidMarketing49

About Octolens

Octolens, founded in 2023 and led by co-founder/CEO Charlotte Schmitt, is a social listening platform aggregating mentions across 15+ platforms (Reddit, X, LinkedIn, GitHub, Hacker News, Stack Overflow, TikTok, podcasts, and news) into structured data, used by Vercel, PostHog, Prisma, and Lovable. It exposes a REST API, webhooks, and an MCP server for programmatic access, with AI-driven relevance scoring, sentiment analysis, and summarization built in. Pre-built "agent skills" convert mentions directly into Linear issues, flag potential leads, and detect churn signals, with Slack routing and email alerts for real-time notification. Pricing: Pro at $199/month ($159/month annual, 15,000 mentions, 10 keywords), Scale at $599/month ($499/month annual, 50,000 mentions, 40 keywords), and custom Enterprise — with a 7-day free trial, but no permanent free tier. Good fit for a product or growth team that wants brand and competitor mentions across many platforms turned automatically into actionable tickets and lead signals, not just a raw mention feed.

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Key Information

Pricing
Paid
Free Trial
No
API Access
No
Category
Marketing
Developer
Octolens
Last Updated
32m ago
Website Status
Online
Website
octolens.com
Documentation
View Docs

Features

Aggregates mentions across 15+ platforms
REST API, webhooks, and MCP server access
AI relevance scoring and sentiment analysis
Agent skills: auto-create Linear issues, flag leads
Slack routing and email alerts
7-day free trial; paid from $199/month

Pricing

Paid
This is a paid tool — visit the website for pricing details.

Pros and Cons

Cons

No free tier available

Reviews & Ratings

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Frequently Asked Questions

No, Octolens is a paid tool.

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Disclosure: AlverHub may earn a commission if you sign up for a tool through a link on this page, at no additional cost to you. This never affects which tools we list or how we describe them — our recommendations are based on real, documented data and our published scoring methodology.

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