Content Aggregation & Media Tracking
If you need to keep tabs on what’s being said about your brand or industry across the web,
Seekdown can serve as your automated media monitoring assistant. It can search the web,
gather articles or posts mentioning your keywords, and then summarize them with AI,
delivering
a neat summary to you.
This is invaluable for marketing teams or anyone who wants to
stay informed without manually reading dozens of sources.
How this works:
1 Define Your Monitoring Scope
First, decide what you want to track. Common targets are brand names, product names, industry terms, or competitor names. Make a list of keywords and sources:
Keywords. e.g., your company name and its top products, or phrases like “<YourBrand> review”, “<Industry> trends”.
Sources. If you want to target specific websites or types of sites (news sites, blogs, forums), note these as well. Seekdown can either perform open web searches or directly crawl specific sites.
2 Set Up a Web Search or Crawl Job
Create a new Data Capture job for monitoring. For Keywords, choose the option to perform a Web Search and use a query like "<YourBrand> OR <YourProduct>". The platform will then use a search engine to find relevant results and integrate those results into a dataset.
If you prefer source-specific monitoring, set up a Web Crawler job for each target site (for instance, crawl the “News” section of an industry blog or an online newspaper’s tech section). You can have multiple jobs to cover all your key sources.
3 Configure AI prompts and summarization for articles
Media monitoring can yield a lot of content, so leveraging AI to summarize is crucial. In the job settings, add an AI Prompt that summarizes each article or mention. For example: “Read the article and provide a 3-4 sentence summary highlighting any mention of <YourBrand> or relevant context.”.
You might also instruct the AI to note sentiment (positive/negative) if that’s important to you. Seekdown will then retrieve each result (the article text) and use this prompt to generate a summary. This way, instead of reading full articles, you’ll get concise summaries. The prompt output can include the title, source, and summary.
This AI-driven summarization lets you view media mentions in a clear, aggregated format without the noise.
4 Schedule Continuous Monitoring
Set the job to run at a desired frequency. For fast-moving news, you might run it every morning (or even more often) to catch new mentions. For slower industries, a weekly update might suffice. Each run can append new entries to the dataset.
5 Configure a new AI assistant
Create a new AI Assistant tied to the internal knowledge dataset. You can start using it right away, as the default settings are enough to get started. You may want to refine the assistant behaviour and response styles later, as well its look and feel.