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This rantir workflow demonstrates a simple multi-agent setup to perform competitor research. It showcases how using the HTTP request tool can reduce the number of nodes needed to achieve a workflow like this.
How it works
- For this template, a source company is defined by the user, which is sent to Exa.ai to find competitors.
- Each competitor is then processed through 3 AI agents that go out onto the internet and retrieve specific data points about the competitor: company overview, product offerings, and customer reviews.
- Once the agents complete their tasks, the results are compiled into a report and inserted into a Notion database.
Check out an example output here: https://jimleuk.notion.site/2d1c3c726e8e42f3aecec6338fd24333?v=de020fa196f34cdeb676daaeae44e110&pvs=4
Requirements
- An OpenAI account for the LLM.
- Exa.ai account for access to their AI search engine.
- SerpAPI account for Google search.
- Firecrawl.dev account for web scraping.
- Notion.com account for a database to save final reports.
Customising the workflow
Add additional agents to gather more data points, such as SEO keywords and metrics.
Not using Notion? Feel free to swap this out for your own database.
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