Real ChatGPT answer · index seed9f0Klax5yXscompleteMarketing and advertising · AI search and generative engine optimizationhowto
Step by step, how should I restructure our product comparison tables so AI search bots can read them easily?
Download run
Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
Step by step, how should I restructure our product comparison tables so AI search bots can read them easily?
1 real search · 1 real-search pass
Google Search Central structured data product snippets comparison tables semantic HTML tables crawlable content AI search documentationGoogle ↗
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 (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
Google Search Central structured data product snippets comparison tables semantic HTML tables crawlable content AI search documentation Google ↗
- How To Add Product Snippet Structured Data | Google Search Central | Documentation | Google for Developers · developers.google.com
- Intro to Product Structured Data on Google | 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 · cali-cured.com
- Google's Guide to Optimizing for Generative AI Features on Google Search | Google Search Central | Documentation | Google for Developers · personscan.online
- Open Search Console · search.google.com
- Test structured data · search.google.com
- Validate Schema.org · validator.schema.org