A: Hi! great questions.

1) How ICP scoring works

Our ICP scoring analyzes publicly available web data about both the company and the individual.

It pulls structured signals such as:

• Company website content (positioning, offer, messaging)
• Technology stack
• Team size / hiring signals
• Location
• News mentions
• Blog content
• Pricing pages
• About / bio information

It only uses publicly accessible web data. It does not scrape private LinkedIn activity, Meta ads data, or anything behind login walls.

You define the ICP criteria, and the system scores leads based on how closely they match those attributes.

2) AI content quality

The content engine is continuously being improved, and it performs especially well for structured formats like:

• Lead magnets
• Educational breakdown posts
• Data-driven storytelling

Here are two real examples generated with the system:

https://www.linkedin.com/posts/oskar-moen-836834212_349-meetings-booked-in-one-month-23-meetings-activity-7330593167437643776-sGea

https://www.linkedin.com/posts/oskar-moen-836834212_linkedin-outreach-books-me-428-calls-per-activity-7399446862006575106-lRx3

As with any AI tool, output quality improves significantly when guided with strong inputs and positioning.