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How does Anthropic Claude enterprise data handling compare to OpenAI regarding training models on our proprietary source code

ChatGPTgpt-62 queries11/1/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
How does Anthropic Claude enterprise data handling compare to OpenAI regarding training models on our proprietary source code
2 real searches · 1 real-search pass
Anthropic Claude for Enterprise data privacy inputs outputs not used to train models retention source code officialGoogle ↗
OBSERVEDOther / navigational
OpenAI enterprise privacy business data not used to train models retention API ChatGPT Enterprise officialGoogle ↗
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 (2)
Short factOther / navigational100%ComparisonConsequenceReasonDefinitionInstructionYes / no

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
Anthropic Claude for Enterprise data privacy inputs outputs not used to train models retention source code official Google ↗
OpenAI enterprise privacy business data not used to train models retention API ChatGPT Enterprise official Google ↗

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Anthropic Claude for Enterprise data privacy inputs outputs not used to train models retention source code official
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1
OpenAI enterprise privacy business data not used to train models retention API ChatGPT Enterprise official
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1