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A disgruntled former employee is spamming our Facebook page with bad reviews, so how do we handle this legally and publicly without making it worse?

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

The searches the AI actually ran for this prompt.

SEED QUERY
A disgruntled former employee is spamming our Facebook page with bad reviews, so how do we handle this legally and publicly without making it worse?
2 real searches · 1 real-search pass
Meta Facebook recommendations reviews report fake reviews policy business Page recommendations officialGoogle ↗
OBSERVEDOther / navigational
Tennessee defamation business reviews false statements statute of limitations attorney general consumer protectionGoogle ↗
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 (2)
Short factOther / navigational50%ComparisonConsequenceReason50%DefinitionInstructionYes / 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
Meta Facebook recommendations reviews report fake reviews policy business Page recommendations official Google ↗
Tennessee defamation business reviews false statements statute of limitations attorney general consumer protection Google ↗

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Meta Facebook recommendations reviews report fake reviews policy business Page recommendations official
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1
Tennessee defamation business reviews false statements statute of limitations attorney general consumer protection
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1