Cross-platform brand monitoring & analysis with AnySite API and GPT
This intelligent automation scans major social media platforms to track brand mentions and stores them in structured data tables for deep analysis. Leveraging GPT, it evaluates sentiment and engagement risks to generate comprehensive, automated reports delivered directly to your inbox. It’s a powerful way to maintain a pulse on your online reputation without manual searching.
Run this with your team's AIWhat This Recipe Does
Maintaining a pulse on brand mentions and industry trends is critical for modern businesses, yet manual monitoring is a significant time sink. The Social Media Monitoring automation streamlines this process by centralizing data from across the web into a single, actionable dashboard. By leveraging automated HTTP requests and data merging, this workflow captures relevant social signals, processes them through intelligent filtering, and stores them in an organized data table. Instead of jumping between tabs, your team receives a consolidated view of market sentiment and brand performance. This allows for faster response times to customer inquiries, more agile reputation management, and data-driven insights into what your audience is talking about in real-time. By automating the collection and organization of social data, your marketing team can shift their focus from administrative data entry to high-level strategy and engagement.
What your team gets
Forms and dashboards, so it is not a script only one person understands
Runs on your schedule in the cloud, so it does not stop when a laptop closes
Endpoints, so the rest of your stack can trigger the same work
DaySchedule, BigMailer connected for the team, not per person
How It Works
- 1
Open the recipe and connect your accounts
Connect DaySchedule and BigMailer once, in your team cloud, and nobody has to do it again on their own machine
- 2
Tell your own agent what is different about your process
Claude, ChatGPT, Cursor, whichever your team already uses. It adapts the recipe to how you actually work
- 3
Run it, then leave it running
It lives in your team cloud, so it keeps going after you close the laptop and every teammate's AI can use it
Who Uses This
- Brand Managers who need to track company mentions and sentiment across multiple platforms without manual searching.
- Customer Support Leads who want to identify and resolve public customer issues before they escalate into larger PR problems.
- Market Researchers who need to monitor specific industry keywords and competitor activity to identify emerging market trends.
Frequently Asked Questions
Do I need to know how to code to use this monitoring tool?
No. While the workflow uses advanced logic to process data, the Runwork interface provides a user-friendly dashboard where you can view results and manage settings without touching any code.
Can I customize which social platforms or keywords are tracked?
Yes. You can easily adjust the search parameters and data sources within the workflow configuration to focus on the specific platforms and terms most relevant to your business.
How often does the automation check for new social media updates?
The automation includes a schedule trigger that can be configured to run at your preferred frequency, whether that is hourly, daily, or on a custom recurring basis.
Will I receive notifications when a critical mention is found?
The workflow is integrated with Gmail, allowing you to set up automated email alerts that notify your team immediately when specific high-priority keywords or sentiments are detected.
Coming from n8n?
This recipe uses nodes like ManualTrigger, Merge, Langchain.lmChatOpenAi, HttpRequest and 7 more. On Runwork, you don't need to learn n8n's workflow syntax. Describe what you want to your own AI agent in plain English.
Based on n8n community workflow. View original
Related Recipes
Automated YouTube video scheduling & AI metadata generation 🎬
The YouTube Content Intelligence automation transforms how marketing teams monitor and leverage video content. By automating the extraction and processing of YouTube data, this workflow eliminates the manual effort required to track competitors, monitor brand mentions, or gather industry insights. It systematically fetches video details, handles high volumes of data through intelligent batching, and removes duplicates to ensure your dataset remains clean and actionable. Instead of spending hours browsing channels and manually logging information, your team receives a structured feed of intelligence ready for analysis. This automation allows you to stay ahead of market trends, identify high-performing content patterns, and react to new video releases in real-time. By bridging the gap between raw video data and business strategy, you can optimize your content production and competitive positioning with data-driven precision.
Retweet cleanup with scheduling for X/Twitter
Maintaining a professional and focused brand presence on X requires a curated feed that highlights your original insights rather than a cluttered history of old retweets. The Automated Retweet Cleanup for X Accounts allows businesses and personal brands to automatically purge shared content after it has served its purpose. By scheduling regular cleanups, you ensure that your profile remains streamlined and relevant to new followers who are auditing your expertise. This automation systematically scans your account, identifies retweets based on your specific criteria, and removes them without requiring manual oversight. Beyond just tidying your timeline, the workflow includes error handling and Slack notifications to keep you informed of the process. This tool is essential for marketing teams who want to maintain a high-signal-to-noise ratio on social media while protecting their brand's long-term digital footprint.
Extract and merge Twitter (X) threads using TwitterAPI.io
The Twitter Thread Fetcher is a specialized automation designed to solve the problem of fragmented social media content. Instead of manually copying and pasting individual tweets from a long thread, this automation systematically extracts every post in a sequence and merges them into a single, cohesive document. This is particularly valuable for content marketers and researchers who need to archive high-performing social content or repurpose Twitter insights for other platforms like blogs, newsletters, or internal knowledge bases. By automating the retrieval process, businesses can save significant time and ensure that no part of a valuable discussion or announcement is lost. The automation handles the technical complexity of connecting to the Twitter API and restructuring the data, providing a clean, ready-to-use text output that preserves the original narrative flow of the thread.
Auto-post breaking news content using Perplexity AI to X (Twitter)
Maintaining a consistent and authoritative presence on social media is essential for brand growth, yet manually scouring the web for relevant news is a significant time sink. This automation bridges the gap between information gathering and content distribution by leveraging Perplexity AI to research current events and automatically drafting and posting updates to X (Twitter). Instead of spending hours each morning looking for industry trends, this workflow proactively identifies timely topics based on your specific criteria and shares them with your audience. By automating the research-to-publication pipeline, businesses can ensure they remain at the forefront of industry conversations without diverting resources from high-level strategy. This system transforms your social media profile into a real-time information hub, increasing engagement and establishing your brand as a thought leader in your niche. The result is a streamlined marketing operation that delivers consistent value to followers while operating entirely in the background.
Run this with the AI your team already uses
Your agent adapts it, your team cloud keeps it running, and everyone's AI can find it.
Open this recipe in Runwork