Real ChatGPT answer · index seedvj0pE8jdodIcompleteMarketing and advertising · AI search and generative engine optimizationhowto
What are the best practices this year for optimizing unstructured text into AI friendly data blocks for better visibility?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the best practices this year for optimizing unstructured text into AI friendly data blocks for better visibility?
3 real searches · 1 real-search pass
2026 best practices AI search optimization structured content chunking schema markup GEO AEO documentationGoogle ↗
OBSERVEDInstruction
2026 RAG document chunking best practices semantic chunking metadata official documentationGoogle ↗
OBSERVEDInstruction
Google Search Central AI features content structured data guidance 2026Google ↗
OBSERVEDOther / navigational
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
2026 best practices AI search optimization structured content chunking schema markup GEO AEO documentation Google ↗
2026 RAG document chunking best practices semantic chunking metadata official documentation Google ↗
Google Search Central AI features content structured data guidance 2026 Google ↗
- Build an unstructured data pipeline for RAG · docs.databricks.com
- Develop a RAG Solution on Azure - Chunking Phase - Azure Architecture Center · learn.microsoft.com
- Improving RAG Pipelines - Building Effective RAG Apps in the Public Service · playbooks.aip.gov.sg
- AI Features and Your Website | Google Search Central | Documentation | Google for Developers · developers.google.com
- Google's Guide to Optimizing for Generative AI Features on Google Search | Google Search Central | Documentation | Google for Developers · developers.google.com
- A new resource for optimizing for generative AI in Google Search | Google Search Central Blog | Google for Developers · developers.google.cn
- Documentation best practices for RAG applications · docs.aws.amazon.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
2026 best practices AI search optimization structured content chunking schema markup GEO AEO documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
2026 RAG document chunking best practices semantic chunking metadata official documentation OBSERVED | Google ↗ AI Mode ↗ | — | Instruction | — | — | 1x of 1 | |
Google Search Central AI features content structured data guidance 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |