The brand reputation monitoring tool for what people actually say about you

Brand reputation management is the intervention layer on top of monitoring: responding to questions and complaints, correcting misinformation with current facts, engaging in comparison conversations, and tracking whether sentiment moves as a result. Monitoring tells you what's being said; management is showing up in those conversations consistently enough to shift them. Octolens covers the full loop — monitoring across 15+ platforms plus reviews, AI filtering, alerts to your team, and sentiment trends to measure the effect.

Yes. Reviews are a monitored source: review pages, comparison posts, roundups, and testimonials across the web appear in your feed alongside social mentions, with the same AI relevance and sentiment scoring. That means a new category comparison or review mentioning your brand reaches your team through the same Slack channel as a Reddit thread.

Review management tools (reputation.com, Thryv, GatherUp) focus on soliciting reviews and managing listings for multi-location businesses — dentists, restaurants, franchises. Octolens manages reputation where B2B and developer brands actually earn it: public conversations on Reddit, X, LinkedIn, Hacker News, and the review and comparison pages people read before buying. We monitor reviews; we don't do review solicitation.

Track the specific claims, not just your name — phrases like "[brand] doesn't support" or the stale benchmark that keeps circulating. When one resurfaces, reply in-thread with current facts and a link. It works because the correction lives where the claim lives: future readers of that thread, and the AI models trained on it, see both sides. Prisma's team ran this loop until community members started correcting misinformation for them.

Octolens detects the conversations that shape AI recommendations: the public threads, reviews, and comparison pages AI assistants build their answers from. We don't track AI answers themselves — we cover the working lever, which is the public record models actually read. Showing up in those conversations with accurate, helpful replies is how you influence what gets repeated.

Sentiment trend over time is the core instrument: the share of positive versus negative mentions per keyword, week over week. Pair it with volume (are more people talking about you?) and response coverage (what share of relevant mentions got a reply?). Octolens tracks sentiment on every mention with one consistent model, so the trend is comparable across platforms and over time.

That's a core use case. AI relevance scoring reads each post in context and filters out name collisions — Prisma (health systems), Tally (the counting word), and Render (the graphics term) all run reputation monitoring on Octolens. You review what the AI keeps, mark anything wrong, and the filtering tightens from your feedback.

Reddit (posts and comments), X/Twitter, LinkedIn, Hacker News, GitHub, Stack Overflow, YouTube, TikTok, Bluesky, dev.to, Medium, Product Hunt, podcasts, newsletters, news sites, and review, comparison, and blog pages across the open web. Reputation is cross-platform — a claim starts on one platform and gets repeated on three others, so single-platform monitoring always sees a partial picture.

Mentions refresh hourly on the Pro plan and in real time on Scale, with alerts pushed to Slack, email, or webhooks as mentions are collected and scored. For reputation work, consistency matters more than raw speed — showing up reliably in conversations, day after day, is what moves perception.

Yes — via webhooks, the REST API, or the MCP server, all included on every plan. Teams run agents that watch for recurring claims, classify severity, open tickets, and draft factual responses for human review. Your reputation data is yours to build on; there's no enterprise gate in front of the API.

Enterprise suites serve marketing teams with dashboards, annual contracts, and sales-led onboarding. Octolens is self-serve from $199/month and built to deliver reputation signals into the tools where your team already works — Slack, webhooks, API, and MCP. If your reputation is earned in developer and B2B communities rather than consumer social, that delivery model is the difference between a dashboard someone checks and a workflow that runs.

Yes. Add competitor names as keywords with the same sentiment tracking. You'll see their recurring complaints (your sales talking points), their fans' favorite features (your roadmap context), and the alternative-seeking threads where their reputation problems become your pipeline.

Yes — news monitoring is included on the Scale plan. For reputation work, news matters at the edges: press coverage both reflects and amplifies what's already circulating in public conversations, so tracking both in one feed shows the full arc.

No. Most Octolens customers run reputation workflows with the team they have — DevRel, support, marketing, or the founders. The AI does the watching and filtering; humans only step in when a conversation needs one. Four-person companies run the same setup as 650-person ones.

Pro is $199/month (15,000 mentions, hourly refresh, Slack and email alerts, API, webhooks, and MCP included). Scale is $599/month with real-time refresh, 50,000 mentions, news monitoring, and AI summaries. Full data access on every plan, 7-day free trial, no credit card required.

Add your brand and product names, let the AI tune relevance for a day, then create two feeds: negative mentions to a response channel, and a weekly all-sentiment digest for the wider team. Once the response habit exists, add claim-specific and comparison keywords. Most teams see their first missed-conversation save in the first week.