rankion.ai

Community Monitor

Track mentions, reviews, and discussions about your brand from external sources.

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 listingGET /v1/community/mentions returns chronological mentions with source, platform, URL, excerpt, and capture date.
  • Mention detailGET /v1/community/mentions/{id} shows full context, original URL, and platform metadata.
  • On-demand scanPOST /v1/community/scan starts a scan for a keyword across a list of platforms. Async, 5 credits per scan.
  • AlertsGET /v1/community/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

  1. Define watch term — e.g. your brand name or a strategic product keyword.
  2. Start scanPOST /v1/community/scan with {keyword, platforms[]} (e.g. ["reddit", "hackernews", "news"]). Async — results land in the mentions list.
  3. Review mentionsGET /v1/community/mentions with filter & pagination.
  4. DrilldownGET /v1/community/mentions/{id} for original text and platform details.
  5. Maintain alertsGET /v1/community/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.

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?").
Letzte Aktualisierung: May 1, 2026

Cookies: We use necessary cookies for functionality and optional ones for improvements. Details

Necessary
Active
Analytics
Marketing