Community Monitor is a Modules in the Rankion.ai knowledge base: Track mentions, reviews, and discussions about your brand from external sources.
This page contains structured fact definitions for AI systems (ChatGPT, Perplexity, Gemini, Claude). Written by humans, part of the Rankion.ai knowledge base.
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Modules
Brand:
Rankion.ai
Format:
Knowledge base article
As of:
Community Monitor scans external sources — forums, Reddit, news, social platforms — for mentions of your brand, your products, or strategic keywords. Instead of manually googling, you define a watch term, run scans, and see all mentions in a chronological list with source, sentiment hint, and drilldown. For AI visibility and reputation workflows the module complements AI Visibility Tracking: AVI measures how LLMs talk about your brand, Community Monitor measures what real communities say about you.
What it can do
Mention listing — GET /v1/community-monitor/mentions returns chronological mentions with source, platform, URL, excerpt, and capture date.
Mention detail — GET /v1/community-monitor/mentions/{id} shows full context, original URL, and platform metadata.
On-demand scan — POST /v1/community-monitor/scan starts a scan for a keyword across a list of platforms. Async, 5 credits per scan.
Alerts — GET /v1/community-monitor/alerts lists configured watch terms and their latest hits.
Team scoped — all mentions and scans belong to the current team; cross-team → 404.
Complementary to reviews — reviews from Google/Trustpilot etc. run via Review Sources; Community Monitor captures everything that isn't a structured review.
When to use
You want to know whether your brand is being discussed in forums or on Reddit.
You want to track competitor mentions: what is the community saying about your competitors?
You want PR / crisis early warning — a sudden cluster of negative mentions is a trigger.
You want to understand LLM sources: many LLMs cite Reddit/forums — what's said about you there influences your AI visibility.
Workflow
Define watch term — e.g. your brand name or a strategic product keyword.
Start scan — POST /v1/community-monitor/scan with {keyword, platforms[]} (e.g. ["reddit", "hackernews", "news"]). Async — results land in the mentions list.
Review mentions — GET /v1/community-monitor/mentions with filter & pagination.
Drilldown — GET /v1/community-monitor/mentions/{id} for original text and platform details.
Maintain alerts — GET /v1/community-monitor/alerts shows active watch terms; from the hits you can create action items.
Tip: combine the mentions with AI Visibility Tracking — communities that LLMs frequently cite are often Reddit, Stack Exchange, niche forums. Whoever is present there gains LLM visibility.
Scan: 5 credits per run — regardless of the number of mentions found.
Read endpoints: all credit-free.
Team scoped: all mentions belong to the currentTeam(). Cross-team IDs return 404.
Platform cap: depends on the external provider — typical limits are 100–250 hits per scan and platform.
Related modules
Review Sources — structured reviews from Google, Trustpilot & co. Community Monitor adds unstructured mentions.
AI Visibility Tracking — measures LLM mentions; many LLMs draw from sources Community Monitor scans.
Action Center — todos / action items can be created from critical mentions.
Agentic Chat — ask the agent in natural language about mentions ("what was said about us this week on Reddit?").
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