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What is the most effective way to structure FAQ sections on my local bakery website so that ChatGPT and Google AI Overviews pull our pricing for local parents?

ChatGPTgpt-62 queries11/1/2026
Download run

Fan-out diagram

The searches the AI actually ran for this prompt.

SEED QUERY
What is the most effective way to structure FAQ sections on my local bakery website so that ChatGPT and Google AI Overviews pull our pricing for local parents?
2 real searches · 1 real-search pass
Google Search Central AI Overviews structured data FAQPage rich results FAQ schema 2026 guidanceGoogle ↗
OBSERVEDOther / navigational
OpenAI ChatGPT search website publishers crawling OAI-SearchBot guidanceGoogle ↗
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

ChatGPT2 real searches · gpt-6
Google Search Central AI Overviews structured data FAQPage rich results FAQ schema 2026 guidance Google ↗
OpenAI ChatGPT search website publishers crawling OAI-SearchBot guidance Google ↗

Queries

2 queries · click a column to sort
Query / typeSearchIntentQuery classRouting formatClusterFreq ↓Weight
Google Search Central AI Overviews structured data FAQPage rich results FAQ schema 2026 guidance
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1
OpenAI ChatGPT search website publishers crawling OAI-SearchBot guidance
OBSERVED
Google ↗
AI Mode ↗
—Other / navigational——1x
of 1