Real ChatGPT answer · index seedCg9zkpWRtSkcompleteMarketing and advertising · local marketinginformational
How can we optimize our existing FAQ schema so that voice-activated devices consistently pull our answers for localized "how to find" queries?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How can we optimize our existing FAQ schema so that voice-activated devices consistently pull our answers for localized "how to find" queries?
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
Google Search Central FAQPage structured data eligibility FAQ rich results authoritative websites 2026 Google ↗
Schema.org FAQPage LocalBusiness Service areaServed geo documentation voice search structured data Google ↗
- Changes to HowTo and FAQ rich results | Google Search Central Blog | Google for Developers · developers.google.com
- Google Drops FAQ Rich Results From Search · searchenginejournal.com
- General Structured Data Guidelines | Google Search Central | Documentation | Google for Developers · developers.google.com
Queries
2 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Google Search Central FAQPage structured data eligibility FAQ rich results authoritative websites 2026 OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
Schema.org FAQPage LocalBusiness Service areaServed geo documentation voice search structured data OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |