
If you run a brand, agency, or online community, conversations about sensitive family or legal situations on Reddit can quickly shape public sentiment. Threads around questions like “who has custody of the Franke kids” often become reference points people skim instead of reading full news articles. For marketers and operators, this isn’t about gossip; it’s about understanding how narratives form so you can respond with clarity, empathy, and facts.
Manually checking Reddit daily is tedious and easy to forget. Delegating this work to an AI agent turns noisy, emotional discussion into structured, actionable insight. A Simular AI computer agent can open Reddit in a browser, search specific keywords, log new posts and comments into a spreadsheet, and summarize tone and key claims for your team. Instead of doom-scrolling, you get a daily, neutral briefing that flags spikes in conversation, highlights risky misinformation, and frees you to focus on thoughtful, human communication.
Below is a practical, three-part guide: first traditional/manual methods, then no-code automations, and finally how to scale everything with an AI computer agent using Simular.
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Some subreddits still support RSS-like feeds.
https://www.reddit.com/r/SUBREDDIT_NAME/new/.rss in an RSS reader.Franke or custody.Pros:
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While Reddit’s official API and policies evolve, many teams use general no-code platforms to orchestrate parts of the workflow:
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This is where a Simular AI computer agent becomes your always-on analyst for Reddit.
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For general guidance on searching and participating on Reddit, reference Reddit’s official help center: https://support.reddithelp.com/hc/en-us, especially the search help article at https://support.reddithelp.com/hc/en-us/articles/205201541-Search-on-Reddit.
Start by defining exactly what you need from Reddit: are you tracking volume of conversation, common claims, or overall sentiment around custody questions such as those about the Franke kids? Begin with manual searching so you understand which subreddits, keywords, and filters matter most. Use Reddit’s search tools (see https://support.reddithelp.com/hc/en-us/articles/205201541-Search-on-Reddit) and save representative posts.
Next, move from ad hoc checks to structure. Create a tracking sheet with fields like Date, Subreddit, Post URL, Summary, and Sentiment. Even before automation, this gives you a repeatable review process. Once the pattern is clear, deploy a Simular AI computer agent: it can open Reddit, run your saved searches, and populate the same sheet automatically. You then only review the output, add human judgment, and decide if any public response or internal briefing is needed. Over time, you can scale to adjacent topics or clients with minimal extra work.
When incorporating Reddit discussions about sensitive topics like who has custody of the Franke kids into internal reports, focus on patterns and narratives, not individual identities. Start by anonymizing examples: describe posts by subreddit, timestamp, and paraphrased content rather than copying usernames or highly personal details.
Use an AI agent, such as one built with Simular Pro, to collect and summarize posts into high-level themes: what questions people repeatedly ask, what misconceptions appear, and the emotional tone. Your agent can log URLs and short summaries into a spreadsheet, but you should manually verify a sample of entries for accuracy and context before circulating.
Always frame insights as "what Reddit conversations suggest" rather than facts about the underlying legal situation. Include disclaimers that Reddit is not a primary legal or factual source. This keeps your reporting ethical while still benefitting from real-time public sentiment intelligence.
Design your Reddit trend workflow in three layers. First, define inputs: which subreddits tend to host discussions around custody topics, what keywords (e.g., "Franke kids custody") you’ll track, and how often you want updates. Validate these manually using Reddit’s search tools and refine until you reliably surface relevant threads.
Second, define storage and structure. Choose where data will live (Google Sheets, Airtable, or a database) and standardize fields like Topic, Post Title, URL, Sentiment, and Action Needed. Log at least one or two weeks of data by hand to ensure the schema works for your team or clients.
Third, automate with Simular. Configure an AI computer agent to reproduce your manual steps: open Reddit, run searches, apply simple rules to decide which posts to log, and write results into your chosen store. Then add a summarization step so each run produces a concise trend report. This layered approach ensures your automation mirrors a proven human workflow, not guesswork.
Technically, an AI agent like one built with Simular Pro could be scripted to log into Reddit and post comments. However, on sensitive topics involving minors and legal custody, direct automated responses are rarely appropriate and may violate both Reddit’s community norms and your own ethical standards.
A better pattern is "read and assist" rather than "read and respond." Use your AI computer agent to monitor and summarize discussions, then surface key threads to a trained human who crafts any necessary responses grounded in verified information and empathy. Your agent can still save time by drafting reply templates or FAQs based on your approved content library, but a person should review and adapt each message.
This hybrid model preserves human responsibility and nuance while still leveraging automation for research, organization, and first-draft writing. It’s especially important when conversations touch on real families, legal processes, or vulnerable individuals.
Agencies can treat the "who has custody of the Franke kids" Reddit conversation as a template for broader social listening. Step one is to design a reusable monitoring blueprint: a standardized way to define keywords, subreddits, sentiment labels, and reporting formats for any client or topic.
Then, use that blueprint to configure Simular-based AI agents. For each client, you customize only the keyword set and relevant communities, while keeping the core workflow identical: open Reddit, run searches, capture posts that match your rules, summarize sentiment and narrative, and push everything into client-specific sheets or dashboards.
Because Simular operates like a human on the desktop but with production-grade reliability, you can run many such workflows in parallel without managing fragile custom scripts. Add webhooks so each agent’s output triggers automated alerts or report generation. This lets a small team deliver high-touch Reddit monitoring and narrative analysis to dozens of clients without drowning in manual tab-switching and copy-paste work.