What is the best psychological approach for a local real estate agency to fix a sudden wave of negative Google reviews?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What is the best psychological approach for a local real estate agency to fix a sudden wave of negative Google reviews?
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). 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
Google Maps user contributed content policy fake engagement review gating business reviews official Google ↗
psychological trust recovery service failure response apology fairness research customer complaints reputation management Google ↗
- Trust Repair · annualreviews.org
- Online service failure and recovery: An integrated meta-analytic perspective of attribution and justice theories · doi.org
- Prohibited and restricted content · support.google.com
- Google Maps Content Trust & Safety Report · transparencyreport.google.com
- New ways we’re protecting businesses on Maps · blog.google
- How local reviews on Google Maps work · blog.google
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Google Maps user contributed content policy fake engagement review gating business reviews official OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
psychological trust recovery service failure response apology fairness research customer complaints reputation management OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |