Real ChatGPT answer · index seed3PRK5mfuSjkcompleteMarketing and advertising · web analyticscommercial

Why are my numbers completely different across platforms and what is the best way to fix these annoying data discrepancy issues as a beginner?

ChatGPTgpt-61 query11/1/2026
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Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
Why are my numbers completely different across platforms and what is the best way to fix these annoying data discrepancy issues as a beginner?
1 real search · 1 real-search pass
Google Analytics 4 why reports differ from other platforms attribution modeling time zones data processing official documentationGoogle ↗
OBSERVEDReason

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 (1)
Short factOther / navigationalComparisonConsequenceReason100%DefinitionInstructionYes / no

Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.

Searches and sources

ChatGPT1 real searches · gpt-6
Google Analytics 4 why reports differ from other platforms attribution modeling time zones data processing official documentation Google ↗

Queries

1 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Google Analytics 4 why reports differ from other platforms attribution modeling time zones data processing official documentation
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1