Documentation Index
Fetch the complete documentation index at: https://docs.dialog.tools/llms.txt
Use this file to discover all available pages before exploring further.
Don’t know which subreddits to track? Give your agent a URL — your own site, a competitor’s page, or a product in your space — and it analyzes the content to surface the Reddit communities where that audience is active.
Under the hood, this uses the same reddit-feed-creator skill described in Reddit Feeds. You don’t invoke the skill directly; you just ask.
How it works
Send your agent a URL with a discovery request. A few patterns that work well:
Analyze linear.app and find the subreddits their audience hangs out in.
Recommend 10-15 high-signal communities.
Look at our product page at example.com — which Reddit communities should
we be monitoring for our target users?
Visit and summarize the URL
Extract a 2-3 sentence site description from the page content.
Identify audience personas
Generate 3 or more distinct user profiles likely to visit the site.
Extract keywords
Pull 12-18 topic, product, and pain-point keywords to seed the subreddit search.
Recommend subreddits
Rank subreddits by relevance and community size, filtering out oversized general-purpose communities like r/all and r/popular.
Save as a feed (optional)
Confirm the list with your agent and it saves them as a curated feed you can reference by name later.
What the analysis includes
Each URL analysis produces three components that drive subreddit recommendations:
| Component | Details |
|---|
| Site description | A 2-3 sentence summary of what the site does and who it serves |
| Audience personas | 3+ distinct user profiles who would visit the site |
| Keywords | 12-18 terms covering topics, products, and pain points |
Better results, fewer distractions
Recommendations are designed to surface communities where real conversations happen. The discovery engine automatically filters out oversized, general-purpose subreddits that add noise without value.
Run discovery against multiple URLs to compare results. Try your homepage, a competitor’s landing page, and a relevant blog post to build a well-rounded feed.
From discovery to monitoring
Once you save a feed from the discovery results, you can reference it by name in any future conversation — e.g. “Summarize the top posts in my indie-saas feed from this week”. For details on revisiting and managing saved feeds, see Reddit Feeds and Managing Feeds.
