We are desperate for an automated lead scoring model that works out of the box in Salesforce because our reps are drowning in bad leads
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
We are desperate for an automated lead scoring model that works out of the box in Salesforce because our reps are drowning in bad leads
2 real searches · 1 real-search pass
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 (2)
Classes come from the query-classifier (a local Laya model). 2 of 2 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT2 real searches · gpt-6
Salesforce Einstein Lead Scoring current requirements availability editions setup 2026 Google ↗
Salesforce out of the box lead scoring predictive lead scoring Einstein Lead Scoring documentation Google ↗
- Understand How Einstein Scores Your Leads · help.salesforce.com
- Einstein Lead Scoring FAQ · help.salesforce.com
- Considerations for Setting Up Einstein Lead Scoring · help.salesforce.com
- Data Requirements for Sales Cloud Einstein · help.salesforce.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Salesforce Einstein Lead Scoring current requirements availability editions setup 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Salesforce out of the box lead scoring predictive lead scoring Einstein Lead Scoring documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |