How does Apollo io contact enrichment actually work when trying to clean up messy B2B lead generation lists that I inherited from the previous marketing director?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How does Apollo io contact enrichment actually work when trying to clean up messy B2B lead generation lists that I inherited from the previous marketing director?
1 real search · 1 real-search pass
Apollo.io official documentation contact enrichment CSV upload enrich contacts fields credits waterfall CRM deduplicationGoogle ↗
OBSERVEDOther / navigational
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
Apollo.io official documentation contact enrichment CSV upload enrich contacts fields credits waterfall CRM deduplication Google ↗
- Use CSV Enrichment · knowledge.apollo.io
- People Enrichment · docs.apollo.io
- Enrich Saved Records in Apollo · knowledge.apollo.io
- Enrich Contact Emails and Phone Numbers with Waterfall Enrichment · docs.apollo.io
- Waterfall Enrichment Overview · knowledge.apollo.io
- Use Waterfall Enrichment · knowledge.apollo.io