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OutXAI uses a combination of:
  • Partial keyword matching
  • Exact keyword matching
  • Negative keyword exclusions
Set fetch frequency and notification preferences to stay updated without overwhelm.
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Why Keyword Tracking?

  • Buying, hiring, and research intent is often shared openly in LinkedIn posts
  • Keyword tracking helps you catch these conversations as soon as they happen
  • You no longer need to manually search or scroll LinkedIn
  • You can respond faster with better context and timing

How OutX.ai Helps with Keyword Tracking

OutX.ai continuously scans LinkedIn for keywords you define or describe in plain English. It groups matching posts into organized watchlists with labels for clarity. You see all relevant conversations in a single feed, updated automatically. From there, you can engage manually or automate engagement using simple rules.

Quick Setup Guide

1. Create a Watchlist

Go to Keyword Tracking and click + New to create a new watchlist. A watchlist is where you tell OutX.ai what kind of LinkedIn posts you want to monitor. Screenshot 2025-12-22 at 6.19.09 PM.png

2. Add a Prompt (What should we track?)

Instead of manually setting up keywords right away, you can simply describe what you want to track in plain English. Think of this as telling OutX.ai what kind of conversations you care about. Example prompts (under 200 characters):
  • “People hiring remote engineers”
  • “Founders talking about CRM tools”
  • “Posts about outbound sales or lead generation”
OutX.ai uses this prompt to suggest relevant keywords for your watchlist. If you want full control, you can skip this step and click Create Manually to add keywords yourself. Screenshot 2025-12-22 at 6.22.31 PM.png

3. Watchlist Details & Keywords

This section helps OutX.ai understand how to track posts accurately and how often to check LinkedIn. Add a clear name and short description so the watchlist is easy to understand. Add a clear name and short description so the watchlist is easy to understand. Watchlist Name Give your watchlist a clear name so it’s easy to recognize later. Use names that describe the intent clearly. Examples:
  • AI Hiring Signals
  • Outbound Tool Mentions
  • Remote Jobs – Founders
This is especially helpful when you have multiple watchlists. Screenshot 2025-12-23 at 12.28.37 PM.png
Watchlist Description Add a short explanation of what this watchlist is for. This helps your team (and future you) understand:
  • Why this watchlist exists
  • What kind of posts should appear here
Screenshot 2025-12-23 at 12.30.03 PM.png
How often should we check for posts? This controls how frequently OutX.ai scans LinkedIn for new posts.
  • More frequent checks = faster alerts
  • Less frequent checks = fewer notifications
Choose a frequency that matches how quickly you want to act on new signals. Screenshot 2025-12-23 at 12.31.00 PM.png
Screenshot 2025-12-22 at 6.49.43 PM.png

Primary Keywords

These are the main words or phrases OutX.ai looks for in LinkedIn posts. Use keywords that directly relate to your intent. Examples:
  • “hiring remote”
  • “looking for developers”
  • “CRM recommendation”
Posts containing these keywords will be considered relevant. Screenshot 2025-12-23 at 12.33.15 PM.png

Must Also Include Keywords

Use this when a post should contain more than one condition to be relevant. Example: Track posts only if they mention:
  • “hiring” and
  • “remote”
This helps reduce noise and improves accuracy. Screenshot 2025-12-23 at 12.34.09 PM.png

Excluded Keywords

These keywords tell OutX.ai what to ignore. If a post contains an excluded keyword, it will not appear—even if it matches your main keywords. Examples:
  • “internship”
  • “freelance”
  • “agency”
This is useful for filtering out irrelevant posts. Screenshot 2025-12-23 at 12.35.18 PM.png

4. Labels

Labels help you categorize posts inside a watchlist. Instead of putting everything in one bucket, labels let you:
  • Group similar posts together
  • Quickly understand why a post was captured
  • Route signals to the right people or workflows
Label Name A short category name, such as:
  • Remote Hiring
  • Tool Comparison
  • Buying Intent
Label Description A short explanation of what this label represents. This makes it easier to:
  • Review posts faster
  • Share context with teammates
Screenshot 2025-12-22 at 6.50.23 PM.png

5. Configuration

Fine-tune how and when you’re notified:
  • Fetch frequency: How often OutX.ai scans LinkedIn (e.g., every 12 hours)
  • Team access: Add teammates to the watchlist
  • Slack integration: Drop in your webhook URL to receive real-time alerts
Screenshot 2025-12-22 at 6.51.02 PM.png

6. Feed

Finally you have a live feed where you can posts with your targeted keywords. Screenshot 2025-12-25 at 12.23.33 PM.png You can use filters to figure on left side to narrow down on your posts, to learn more about filters click here

Frequently Asked Questions

1: Can I track hashtags on LinkedIn? Yes! OutXAI ’s keyword module supports hashtags as keywords.
2: What happens if a keyword is misspelled? Outx.ai supports partial matching, so minor misspellings often still match.
3: Can I track entire keywords like “Social listening tools”? Yes you can track entire keywords you simply putting them in “must also include” category.
4: If want to do selective post tracking or I don’t want to track certain keywords what can I do? You can add those keywords that you don’t want to track in excluded keywords that way if the post contains certain keyword it won’t track.
5: Can I monitor LinkedIn comments? At present, Outx.ai focuses on post-level monitoring, but future updates may include comments as well.
6: How do I remove a keyword from a watchlist? You can edit the watchlist anytime and delete keywords or labels easily.
7: Is there a limit to how many keywords I can track? Your plan may have limits, but Outx.ai supports high-volume tracking for enterprise users.
8: Can i filter all the posts based on location? No, currently there’s no way for filtering posts based on location but we are working on it and soon you’ll see that