Determining SaaS Websites from URLs Using Clay
I have a list of urls and need to define for each of them if it is a website of saas or no - is it possible to do with clay?
I have a list of urls and need to define for each of them if it is a website of saas or no - is it possible to do with clay?
Yes! Clay can definitely help you determine if URLs are SaaS websites. You have several options:
AI Company Classification: Use our "Enrich company with AI" feature to automatically classify business models (B2B vs B2C, SaaS vs non-SaaS). [3]
Custom SaaS Detection Workflow: Create a structured workflow that analyzes company descriptions, pricing models, and target customers to determine SaaS classification. [4] This uses multiple AI prompts to research what companies sell and how they price their services.
Start by adding your URLs to a Clay table, then use Claygent with a 1-credit model for simple SaaS classification questions. Test with 10 rows first before scaling to your full dataset.
Was that helpful?
If you need any more help with classifying your URLs as SaaS or not, I’m here to assist. Would you like to provide more details about your list or the specific outcome you’re aiming for?
what is the most reliable way to do this classification?
The most reliable approach uses multiple AI research prompts followed by a decision prompt to classify SaaS companies. [1]
Here's the structure:
Research Phase (3 prompts):
Company description
What they sell
Pricing model
Decision Phase:
Use ChatGPT to analyze all three research summaries and return a definitive "Yes/No" SaaS classification.
Is that what you were looking for?
is it possible to make clay simply open the website and analisy the text on the homepage to make this classification?
Yes! You can use Claygent to visit each website and analyze the homepage text for SaaS classification. [1]
Here's how:
Add your URLs to a Clay table
Add a Claygent column
Use a prompt like: "Visit this company's homepage and analyze the text. Determine if it's a SaaS company based on the content. Return 'Yes' if they offer software as a service, 'No' if not."
Map your URL field so Claygent knows which websites to visit
Choose the 1-credit model for simple classification questions
Claygent can scrape and analyze websites to find information like pricing models, service offerings, and company descriptions. [2] Test with 10 rows first before scaling to your full dataset.
Is that what you were looking for?
If you still need help with classifying your URLs using Claygent or any other method, I’m here to assist. Would you like to share more about your dataset or specific goals so I can provide further support?