How to Conduct Brand Mentions Research Across Multiple Videos at Scale Using Hexomatic
Researching brand mentions across YouTube videos can be a game-changer for businesses looking to analyze their own or competitors’ brand reputation, track influencer collaborations, or identify trends in user-generated content. However, manually searching and analyzing videos at scale is time-consuming and inefficient.
With Hexomatic’s YouTube Search and Transcript Scraping Automation, you can automate this process, saving time and ensuring accuracy. This guide will walk you through how to conduct research on brand mentions across multiple videos efficiently.
Why Monitor Brand Mentions on YouTube?
Tracking brand mentions on YouTube provides several key benefits:
✅ Reputation Management: Monitor how people talk about your brand.
✅ Competitor Analysis: Identify how often competitors are mentioned in videos.
✅ Influencer Tracking: Discover influencers who organically mention your brand.
✅ Customer Insights: Understand audience sentiment and feedback from real users.
Step 1: Find Relevant Videos to Analyze
Hexomatic allows you to search for multiple keywords on YouTube to find a list of relevant videos.
Use the YouTube Search Automation: https://hexomatic.com/automation/youtube-search
This tool enables you to extract videos mentioning your brand or competitors.
Go to Hexomatic and start a new workflow.
Select the YouTube Search Automation and input relevant keywords as the data input (e.g., your brand name, product name, or related terms).
Set the number of results per search. You can extract hundreds of video links in a single run.
✅ Output: A list of YouTube videos.
Optional: You can analyze the results manually or add a ChatGPT automation step to filter out unrelated video URLs.
Step 2: Extract and Scrape Video Scripts
Once you have the list of videos, the next step is to extract the scripts (captions) to identify brand mentions.
Use the YouTube Transcript Scraper Automation: https://hexomatic.com/automation/youtube-transcript
Input the list of video URLs as the data source.
Add the YouTube Transcript Scraper Automation to your workflow.
The automation will extract the full video transcript, making it easy to analyze.
✅ Output: A structured dataset containing transcripts of multiple videos.
Step 3: Identify Brand Mentions in Video Scripts
Now that you have the transcripts, the next step is to analyze the data for brand mentions.
Use ChatGPT to analyze the transcripts for sentiment, context, and frequency of mentions.
Alternatively, simply search for your brand name in the dataset using tools like Google Sheets or Excel.
By leveraging Hexomatic’s YouTube Search and Transctipt Scraping Automation, businesses can conduct large-scale research on brand mentions with minimal manual effort. This automation not only saves time but also provides valuable insights that can be used for marketing strategies, reputation management, and influencer collaborations.
If you don’t want to create the workflow yourself, we offer a concierge service to handle it for you.
Start automating your YouTube brand monitoring today with Hexomatic and stay ahead of the competition! 🚀