How do I set up automated lead scoring rules that actually reflect genuine buying intent instead of just website page views?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do I set up automated lead scoring rules that actually reflect genuine buying intent instead of just website page views?
1 real search · 1 real-search pass
B2B lead scoring buying intent fit engagement negative scoring recency best practices HubSpot Salesforce 2025Google ↗
OBSERVEDReason
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
B2B lead scoring buying intent fit engagement negative scoring recency best practices HubSpot Salesforce 2025 Google ↗
- Build lead scores to qualify contacts, companies, and deals · knowledge.hubspot.com
- Overview of the lead scoring tool · knowledge.hubspot.com
- Understand the lead scoring tool · knowledge.hubspot.com
- lead scoring documentation · knowledge.hubspot.com
- Salesforce resources · help.salesforce.com