perplexity research
Download run
Fan-out diagram
The searches the AI actually ran for this prompt. 1 of 2 calls ran without showing their queries (second layer).
SEED QUERY
perplexity research
3 real searches · 1 real-search pass · 1 hidden call
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format. Hidden searches fed 2 of 3 citations.
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 (3)
Classes come from the query-classifier (a local Laya model). 1 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6.1-sol-wm
2
search calls
1
visible
1
hidden
67%
citations from hidden
- Clinician Use of an Artificial Intelligence–Enabled Clinical Information Platform | Digital Health | JAMA | JAMA Network · jamanetwork.comcall 2
- First Large-Scale Study Shows How Doctors Use AI in Medicine | Harvard Medical School · hms.harvard.eduhidden search
- IFSO Survey: Use of Large Language Models (LLMs) by Metabolic Bariatric Surgeons and Integrated Health Professionals | Obesity Surgery | Springer Nature Link · link.springer.comhidden search
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
site.doximity.com "2026" "3,379" "85%" OBSERVED · call 2 | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
site.healthlinkdimensions.com "2026" "ChatGPT" "35%" OBSERVED · call 2 | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
site.openevidence.com "advertising" "answers" OBSERVED · call 2 | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |