Monitor brand mentions with OpenAI across Twitter/X, Reddit, News, Airtable and Slack

Monitors brand mentions across Twitter/X, Reddit, and News APIs in real-time (or scheduled), fetches mentions in parallel, normalizes data, uses AI to analyze sentiment/urgency/topics, detects duplicates, filters critical mentions, logs everything to Airtable, posts alerts to Slack, and emails daily HTML digest reports to the marketing team.

Good to Know Runs every hour (configurable) to provide near-real-time brand monitoring Pulls mentions from multiple platforms in parallel: Twitter/X, Reddit, News sources Uses AI (OpenAI/Grok/etc.) for advanced sentiment classification, urgency detection, topic extraction, and duplicate deduplication Focuses on actionable insights: flags negative/urgent mentions for immediate response Generates beautiful HTML daily digest with summarized mentions, sentiment trends, and key highlights Stores historical data in Airtable for tracking, analytics, and long-term reporting Sends real-time Slack alerts for high-priority/negative mentions Reduces manual social monitoring time dramatically and helps catch reputation issues early

How It Works

1. Trigger & configure Schedule Trigger** — Runs every hour (or custom interval) to check for new brand mentions Set brand monitoring config** — Defines brand name, keywords, excluded terms, monitoring parameters (via Set node or variables)

2. Fetch & collect mentions Fetch Twitter/X mentions** — Uses Twitter/X node or HTTP Request to search recent tweets (mentions, keywords) Fetch Reddit mentions** — Searches relevant subreddits or Reddit-wide for brand keywords/posts Fetch news article mentions** — Queries news APIs (e.g. NewsAPI, Google News via RSS/HTTP) for brand coverage Merge platform mentions** — Combines results from all sources into a unified stream Normalize mentions into unified schema** — Standardizes fields (text, author, platform, timestamp, URL, etc.) for consistent processing

3. AI analyze & deduplicate AI sentiment and urgency analysis** — Sends mentions to AI model (OpenAI node) with prompt to classify: Sentiment: positive / neutral / negative Urgency/severity: low / medium / high / critical Topics/themes Key excerpts Wait For Result** — Ensures AI responses are complete Process analysis results** — Parses structured JSON output from AI Filter mentions requiring alerts** — Routes based on sentiment/urgency thresholds Deduplicate** — Removes near-duplicate mentions (e.g. same content reposted)

4. Store, alert & report Log mention to Airtable** — Appends/updates records with full details, sentiment, AI analysis, timestamp Route by sentiment and urgency** — Critical/negative → immediate action path Send mention alert* — Posts formatted message to Slack* (or Discord/Teams) with link, text snippet, sentiment badge Generate HTML daily digest report** — Compiles summary: total mentions, sentiment breakdown, top issues, trends Email HTML digest* — Sends polished report to marketing team via Email* node (SMTP/Gmail) Log success and update listings** — Records workflow completion, stats for monitoring

Data Sources Twitter/X** — Recent search for mentions/keywords (via Twitter node or HTTP Request with API) Reddit** — Subreddit or site-wide search for brand mentions News APIs** — NewsAPI.org, Google News RSS, or similar for article mentions AI Model** — OpenAI (GPT-4o / GPT series), Grok, or other LLM for sentiment/urgency analysis Storage** — Airtable base (tables for mentions, daily summaries) Notifications** — Slack (webhook or app), Email (SMTP)

How to Use Import the workflow JSON into your n8n instance Configure credentials: Twitter/X API (OAuth or Bearer token for search) Reddit API (if using official; or RSS/HTTP for subreddits) News API key (e.g. NewsAPI.org) OpenAI API key (or Grok/other LLM) Airtable API key + base/table Slack webhook or app token Email SMTP credentials Set monitoring parameters — Edit brand name, keywords, exclude lists in Set monitoring config node Customize AI prompt — In the AI sentiment node, tweak for brand-specific tone, industry terms, urgency criteria Adjust schedule — Change interval in Monitor mentions every hour trigger Tune filters — Set thresholds for alerts (e.g. only negative + high urgency) Test manually — Use Execute Workflow to simulate with known mentions Activate — Turn on and watch Executions + Airtable/Slack for results

Requirements n8n instance (self-hosted or cloud) API access/keys for Twitter/X, Reddit (optional), News source OpenAI (or compatible LLM) API key with good token limit Airtable workspace/base for logging Slack workspace for alerts Email account for daily digests

Customizing This Workflow Add more platforms** — Include Facebook/Instagram (via Meta API), LinkedIn, Discord mentions Enhance AI analysis** — Add topic clustering, competitor comparison, virality scoring Improve deduplication** — Use fuzzy matching or embeddings for better duplicate detection Visual dashboard** — Export Airtable data to Google Looker Studio / Grafana for sentiment trends Auto-response** — For low-risk positive mentions, generate draft replies Language support** — Add multilingual sentiment detection Hourly vs. real-time** — Switch to webhook triggers if platforms support (e.g. Twitter webhooks if available) Daily/weekly reports** — Aggregate more stats, charts in HTML email