Real ChatGPT answer · index seed86QxRO3BvWAcompleteMarketing and advertising · AI search and generative engine optimizationinformational
Can you explain the underlying technology behind how AI answer engines select specific sources to quote when answering complex consumer questions?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Can you explain the underlying technology behind how AI answer engines select specific sources to quote when answering complex consumer questions?
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
retrieval augmented generation search ranking hybrid search reranking source selection citations answer engines documentation Google ↗
Google Search ranking systems information retrieval BM25 vector search cross encoder reranking research paper Google ↗
- Develop a RAG Solution on Azure - Information-Retrieval Phase - Azure Architecture Center · learn.microsoft.com
- About retrieval and ranking | Agent Search | Google Cloud Documentation · docs.cloud.google.com
- Retrieval augmented generation (RAG) and indexes in Microsoft Foundry - Microsoft Foundry · learn.microsoft.com
- RAG and Generative AI - Azure AI Search · learn.microsoft.com
- Web Search · docs.aws.amazon.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
retrieval augmented generation search ranking hybrid search reranking source selection citations answer engines documentation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Google Search ranking systems information retrieval BM25 vector search cross encoder reranking research paper OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |