Real ChatGPT answer · index seedn6WxIH2MniQcompleteMarketing and advertising · AI search and generative engine optimizationinformational
Explain the mechanics of generative engine citation methods and how semantic chunking impacts whether our paragraphs get referenced.
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Explain the mechanics of generative engine citation methods and how semantic chunking impacts whether our paragraphs get referenced.
3 real searches · 1 real-search pass
generative engine optimization citation selection passage retrieval semantic chunking RAG documentation researchGoogle ↗
OBSERVEDReason
semantic chunking retrieval augmented generation paragraph boundaries context window citation researchGoogle ↗
OBSERVEDReason
Google AI Overviews citations how sources selected search documentationGoogle ↗
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 (3)
Classes come from the query-classifier (a local Laya model). 3 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
generative engine optimization citation selection passage retrieval semantic chunking RAG documentation research Google ↗
semantic chunking retrieval augmented generation paragraph boundaries context window citation research Google ↗
Google AI Overviews citations how sources selected search documentation Google ↗
- Google's Guide to Optimizing for Generative AI Features on Google Search | Google Search Central | Documentation | Google for Developers · developers.google.com
- AI Features and Your Website | Google Search Central | Documentation | Google for Developers · developers.google.com
- A Systematic Literature Review of Retrieval-Augmented Generation: Techniques, Metrics, and Challenges · mdpi.com
- RAG and Generative AI - Azure AI Search · learn.microsoft.com
- Design and Develop a RAG Solution on Azure - Azure Architecture Center · learn.microsoft.com
- Get search summaries | Agent Search | Google Cloud Documentation · docs.cloud.google.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
generative engine optimization citation selection passage retrieval semantic chunking RAG documentation research OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
semantic chunking retrieval augmented generation paragraph boundaries context window citation research OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Google AI Overviews citations how sources selected search documentation OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |