- Discover how users describe problems your product solves
- Identify content gaps and questions you could answer
- Track competitor mentions and sentiment across communities
- Generate AI-powered content responses grounded in real discussions
- Reddit
- X (Twitter)
Reddit Intelligence
Reddit is organized into communities (subreddits) where users ask questions, share experiences, and debate topics in depth. XLR8.ai analyzes posts across the subreddits most relevant to your business and surfaces those with the highest engagement opportunity.Setting up your Reddit listener
Before running an analysis, configure your listener profile so XLR8.ai knows what to look for.1
Open Social Listening
Click Social Listening in the left sidebar. The Reddit tab opens by default.
2
Run auto-setup
Click Set up listener. XLR8.ai reads your existing experiment data to generate a company description and suggest relevant subreddits automatically.
If you have not run any experiments yet, you will be prompted to enter your company name and domain manually so the platform can generate your profile.
3
Review your company description
Check the generated company description. This text is used to determine what counts as a relevant post. Edit it to better reflect your product, use case, or target audience.
4
Confirm your subreddits
Review the suggested subreddits. Add or remove communities to match where your audience actually participates. Enter subreddit names without the
r/ prefix.5
Save your profile
Click Save profile. Your listener configuration is stored and used for all future Reddit analyses.
Running a Reddit analysis
Once your profile is set up, run an analysis to find relevant posts.1
Set your parameters
Choose how many days back to scan (up to 30 days) and the maximum number of posts to return (up to 100). A Days back value of 7 with Top posts set to 20–30 is a good starting point for weekly monitoring.
2
Start the analysis
Click Find relevant posts. The analysis runs in the background — you can continue using the platform while it processes. The status updates automatically when it completes.
3
Review results
Posts are returned ranked by relevance score (0–10). Each post shows:
- The post title and subreddit
- Upvote count and comment count
- Opportunity type — one of: Answer Question, Share Expertise, Provide Solution, Join Discussion
- Reasoning — a brief explanation of why the post is relevant and how your brand could add value
Filtering results
Use the filter controls above the post list to refine what you see:- Days back — adjust the look-back window to see older or newer posts
- Number of posts — increase the limit if you want broader coverage
Saving posts
Save posts you want to revisit, use for content inspiration, or pass to your team.1
Find a post to save
Browse the analysis results and identify a post worth saving.
2
Save the post
Click the Save button on the post card. The post is added to your Saved posts tab.
3
Access saved posts
Switch to the Saved tab to see all posts you have bookmarked. Saved posts persist across sessions and analyses.
Generating AI-powered content from Reddit posts
For any post you find relevant, you can generate a suggested comment or response grounded in the discussion.1
Open a relevant post
Find a post in your results or saved list that you want to respond to.
2
Generate content
Click Generate content. XLR8.ai analyzes the post and produces a tailored response that positions your brand as a helpful expert — not a promotional spam message.
3
Review and refine
Read the generated content carefully. Adjust the tone or specifics before posting it on Reddit. Always review AI-generated content before publishing.
Use cases
Content opportunity discovery
Find unanswered questions in your category and turn them into content that AI models will cite.
Competitive monitoring
Spot conversations where competitors are being recommended instead of you.
Community engagement
Build a queue of high-value posts to engage with and track them in the Action Center.
Sentiment research
Understand how users describe your category to inform sentiment experiments.