Real ChatGPT answer · index seedTDAXeqW6NHMcompleteMarketing and advertising · AI search and generative engine optimizationinformational

Are there specific schema markup types that help content get pulled into AI search summaries and generative overviews

ChatGPTgpt-62 queries11/1/2026
Download run

Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
Are there specific schema markup types that help content get pulled into AI search summaries and generative overviews
2 real searches · 1 real-search pass
Google Search Central structured data documentation AI Overviews schema markup Article Organization Product FAQPage 2026Google ↗
OBSERVEDOther / navigational
Schema.org types useful for search engines Article Organization Person ProfilePage Product HowTo FAQPage QAPageGoogle ↗
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 (2)
Short factOther / navigational100%ComparisonConsequenceReasonDefinitionInstructionYes / no

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

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Google Search Central structured data documentation AI Overviews schema markup Article Organization Product FAQPage 2026
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1
Schema.org types useful for search engines Article Organization Person ProfilePage Product HowTo FAQPage QAPage
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1