Real ChatGPT answer · index seedMbbmrKurd4wcompleteMarketing and advertising · ad platformsinformational
Can you explain how to build lookalike audiences on X using hashed customer lists without violating their updated data privacy compliance rules?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Can you explain how to build lookalike audiences on X using hashed customer lists without violating their updated data privacy 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). 1 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
X Ads tailored audiences customer lists hashed data privacy policy 2026 official X business Google ↗
X Ads tailored audiences terms customer data privacy policy GDPR official Google ↗
- List Custom Audiences · help.x.com
- Lookalike Audiences · business.x.com
- Your privacy options for personalized ads · help.x.com
- X Master Services Agreement · legal.x.com
- Policies for Conversion Tracking and Custom Audiences · business.x.com
- Conversion Tracking and Custom Audiences · help.x.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
X Ads tailored audiences customer lists hashed data privacy policy 2026 official X business OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
X Ads tailored audiences terms customer data privacy policy GDPR official OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |