Can employees safely use Perplexity Enterprise for competitive research without leaking our proprietary product development roadmap into public training data?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Can employees safely use Perplexity Enterprise for competitive research without leaking our proprietary product development roadmap into public training data?
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 data privacy customer data used to train models retention enterprise security official Google ↗
Perplexity Enterprise security privacy policy SOC 2 data retention zero data retention official Google ↗
- Trust Center · trust.perplexity.ai
- Perplexity Enterprise · enterprise-prod.perplexity.ai
- How Perplexity Enterprise Pro Keeps Your Data Secure · perplexity.ai
- Trust Center · trust.perplexity.ai
- Trust Center · trust.perplexity.ai
- Trust Center · trust.perplexity.ai
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Perplexity Enterprise data privacy customer data used to train models retention enterprise security official OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Perplexity Enterprise security privacy policy SOC 2 data retention zero data retention official OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |