What is the best way to train our customer support team on using Perplexity Enterprise for competitor analysis without violating compliance rules?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the best way to train our customer support team on using Perplexity Enterprise for competitor analysis without violating compliance rules?
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
Perplexity Enterprise official security privacy data handling compliance enterprise features documentation Google ↗
Perplexity official terms acceptable use policy competitor research public information Google ↗
- Trust Center · trust.perplexity.ai
- Perplexity Enterprise · enterprise-prod.perplexity.ai
- Perplexity Trust Center · trust.perplexity.ai
- Enterprise Terms of Service · perplexity.ai
- Privacy Policy · perplexity.ai
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Perplexity Enterprise official security privacy data handling compliance enterprise features documentation OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Perplexity official terms acceptable use policy competitor research public information OBSERVED | Google ↗ AI Mode ↗ | — | Comparison | — | — | 1x of 1 |