Help me compare how enterprise tech companies handle PR disasters versus local businesses dealing with negative reviews, as I need to draft a public response for my company page right away.
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Help me compare how enterprise tech companies handle PR disasters versus local businesses dealing with negative reviews, as I need to draft a public response for my company page right away.
1 real search · 1 real-search pass
enterprise crisis communication best practices public acknowledgment accountability corrective action official guidance; Google Business Profile respond to reviews best practices officialGoogle ↗
OBSERVEDInstruction
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)
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
enterprise crisis communication best practices public acknowledgment accountability corrective action official guidance; Google Business Profile respond to reviews best practices official Google ↗
- Tips to get more reviews · support.google.com
- Preparing your business for a reputation incident · business.qld.gov.au
Queries
1 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
enterprise crisis communication best practices public acknowledgment accountability corrective action official guidance; Google Business Profile respond to reviews best practices official OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 |