What it does
Scrapes relevant subreddits, forums, and review sites for trigger phrases, classifies intent and sentiment with AI, creates an AE task for active-intent posts, and logs brand mentions for marketing tracking.
You get
AE tasks from active-intent community posts
plus a brand-mention log
How it works
Build the Listening Workflow
Create WorkflowCreate a workflow 'Community mention listening' that monitors public discussion surfaces (configured subreddits, Hacker News, Indie Hackers, G2/Capterra reviews, X/Twitter mentions) for trigger phrases relevant to the product category. Goal: catch in-market intent at the moment it surfaces publicly, when speed-to-helpful-response converts.
Scheduled Polling Trigger
configure_workflow_wait_until_stepConfigure scheduled trigger: poll every 30 minutes during business hours (cheap enough to be near-real-time, expensive enough to respect rate limits). Track last-checked-timestamp per source so only new posts are processed.
Scrape Configured Sources
configure_web_scrape_stepConfigure web scrape step for the configured list of community sources (subreddits like r/saas / r/CRM / r/marketing depending on workspace; specific forums; review sites). Use RSS where available (faster, lower-stakes scraping). Output: list of new posts/comments since last check, with author/timestamp/text/source.
Filter by Trigger Phrases
configure_workflow_branch_stepConfigure branch step: scan posts for trigger phrases (configurable). Active-intent triggers: 'looking for', 'recommend', 'alternative to [competitor]', 'best tool for'. Brand-mention triggers: '[your product name]' (positive/negative/neutral). Skip posts matching neither (most of them). Continues only with matching posts.
AI Classify Intent and Sentiment
configure_ai_research_stepConfigure AI step that classifies each matched post: intent_type (active-shopping / brand-mention / complaint / general-discussion), sentiment (positive / neutral / negative), urgency (immediate / browsing / casual), and 'is this post a good place to respond authentically?' (avoid posts where commercial response would be off-topic / against community norms / clearly hostile). Output: classification + reasoning.
Multi-Split by Classification
configure_workflow_multi_split_stepConfigure multi-split: ACTIVE-SHOPPING + good-response-fit → SDR/AE task with link to engage authentically (humans only — never auto-reply); BRAND-MENTION (any sentiment) → log to marketing dashboard, Slack alert if negative; COMPLAINT-MENTIONING-YOU → urgent CX task; GENERAL-DISCUSSION → archive (just data for trend tracking).
Create Outreach Task
configure_create_task_stepOn active-shopping branch: create SDR/AE task with the post link, full text, AI classification, suggested response approach ('engage authentically with a helpful answer, then mention our product only if relevant — strict no-spam discipline'). Critical: tasks instruct humans to reply, not automation — automated community replies trigger spam-bans fast.
Slack Alert for Brand Mentions
configure_slack_stepConfigure Slack step on brand-mention branch: post to #community-mentions channel with the mention, sentiment, and link. Surfaces real-time brand-pulse for marketing + product. Special handling for negative mentions: tag CX lead.
Validate and Publish
publish_workflowValidate and publish. Monitor: post-volume per source per week, intent-detection precision (sample human-rate the AI classifications), conversion from community-engagement-task to meeting (community-sourced leads typically convert higher when handled authentically). Critical guardrail: zero auto-replies — community trust requires humans.
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