Community Monitor
Community Monitor ist ein Modules in der Rankion.ai-Knowledge-Base: Track mentions, reviews, and discussions about your brand from external sources.
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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/mentionsreturns chronological mentions with source, platform, URL, excerpt, and capture date. - Mention detail —
GET /v1/community/mentions/{id}shows full context, original URL, and platform metadata. - On-demand scan —
POST /v1/community/scanstarts a scan for a keyword across a list of platforms. Async, 5 credits per scan. - Alerts —
GET /v1/community/alertslists 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/scanwith{keyword, platforms[]}(e.g.["reddit", "hackernews", "news"]). Async — results land in the mentions list. - Review mentions —
GET /v1/community/mentionswith filter & pagination. - Drilldown —
GET /v1/community/mentions/{id}for original text and platform details. - Maintain alerts —
GET /v1/community/alertsshows 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.
API
| Method | Endpoint | Description | Credits |
|---|---|---|---|
GET |
/v1/community/mentions |
List of all mentions, chronological | 0 |
GET |
/v1/community/mentions/{id} |
Detail incl. source and excerpt | 0 |
POST |
/v1/community/scan |
Start async scan, body {keyword, platforms[]} |
5 |
GET |
/v1/community/alerts |
Active watch terms and latest hits | 0 |
Example body for POST /v1/community/scan:
{
"keyword": "Rankion AI",
"platforms": ["reddit", "hackernews", "news"]
}
Credits & Limits
- 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?").