Track fresh Reddit conversations about your brand and get quick context you can act on. The flow finds new posts, confirms if they are truly about your product, and writes a short summary for fast review. It suits marketing and community teams that want a focused stream of useful mentions.

Here is how it works. A manual start kicks off a Reddit search across all communities using your keyword, sorted by new. Posts are kept only if they are recent, have at least five upvotes, and include text. The text is trimmed to 500 characters to control costs, which means very long posts are not fully read. OpenAI first answers Yes or No to check relevance and then produces a one sentence summary with a low temperature for consistency. Merge steps combine the AI results with post stats, and a final mapping outputs clean fields like summary, upvotes, subreddit size, and links.

Set up Reddit and OpenAI access in n8n, change the keyword to fit your brand, and tune the filters. Expect to replace manual searches with a quick review that saves about an hour each week. If you need more context, increase the trim length and adjust the prompts to get sharper answers. After that, run it on demand and refine based on your results.

• Manual start for controlled runs when your team is ready to review
• Reddit search across all communities filtered by your chosen keyword and sorted by new
• Smart filters keep only recent, upvoted posts with real text content
• Text is trimmed to 500 characters to manage token use and improve speed
• AI classification returns a Yes or No answer on whether the post is truly about your brand
• AI summary produces a one sentence, low temperature summary for consistent tone
• Merge and final mapping combine AI outputs with upvotes and subreddit size into a tidy payload

• Reduce manual scanning of Reddit from 60 minutes to under 10 minutes per review
• Cut noise by keeping only posts from the last 7 days with 5 or more upvotes
• Use AI to confirm relevance and lower false positives from keyword matches
• Get quick context with short human readable summaries for faster decisions
• Combine relevance, summary, and post metrics in one clean output for easy reporting

1. Import the template into n8n: Create a new workflow in n8n > Click the three dots menu > Select 'Import from File' > Choose the downloaded JSON file.
2. You'll need accounts with Reddit and OpenAI. See the Tools Required section above for links to create accounts with these services.
3. Open the Reddit node in n8n, click the Credential to connect with dropdown, choose Create new credential, and follow the on screen instructions. If needed, create a Reddit app in your Reddit account to get a client id and client secret and paste them into n8n.
4. Open each OpenAI node, choose Create new credential, and paste your OpenAI API key from your OpenAI account API keys page. Save the credential and select it for both AI nodes.
5. In the Reddit node, enter your brand or product keyword. Keep location All and sort New to capture fresh posts. Save the node.
6. Open the IF node and confirm the filters: upvotes greater than or equal to 5, self text is not empty, and created date within the last 7 days. Adjust these values to match your brand volume.
7. Open the Set node and review the field that trims the post text. Increase the length if you need more context, keeping in mind that longer text may cost more tokens.
8. Open the OpenAI Classify node and keep the Yes or No prompt. If results look off, lower max tokens for tighter answers or refine the wording for clarity.
9. Open the OpenAI Summary and the backup summary nodes. Keep temperature around 0.3 and keep the instruction short so the output stays under 20 words.
10. Click Execute Workflow to test. Inspect the SetFinal node output. Confirm you see classification, summary, subreddit, upvotes, and subreddit size. Tweak thresholds or prompts if needed.
11. If no posts pass the filter, try a broader keyword or lower the upvote threshold. If AI returns empty text, shorten the trimmed input or reduce batch size and test again.