Real ChatGPT answer · index seed4miBcYvfcc0completeReal estate · buying a homebrand

What recent legal challenges have been brought against HomeLight regarding the accuracy of their agent matching algorithms and referral fee structures?

ChatGPTgpt-62 queries11/1/2026
Download run

Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
What recent legal challenges have been brought against HomeLight regarding the accuracy of their agent matching algorithms and referral fee structures?
2 real searches · 1 real-search pass
HomeLight lawsuits agent matching algorithm accuracy referral fees legal challenges 2025 2026Google ↗
OBSERVEDReason
HomeLight referral fee antitrust lawsuit real estate agents algorithm accuracy litigationGoogle ↗
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 / navigationalComparisonConsequenceReason100%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
HomeLight lawsuits agent matching algorithm accuracy referral fees legal challenges 2025 2026 Google ↗
HomeLight referral fee antitrust lawsuit real estate agents algorithm accuracy litigation Google ↗

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
HomeLight lawsuits agent matching algorithm accuracy referral fees legal challenges 2025 2026
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1
HomeLight referral fee antitrust lawsuit real estate agents algorithm accuracy litigation
OBSERVED
Google ↗
AI Mode ↗
—Reason——1x
of 1