Real ChatGPT answer · index seedBqAgb42Vd5EcompleteMarketing and advertising · AI search and generative engine optimizationinformational
How do generative search engines evaluate EEAT signals differently than traditional Google crawlers when deciding which brands to recommend?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do generative search engines evaluate EEAT signals differently than traditional Google crawlers when deciding which brands to recommend?
3 real searches · 1 real-search pass
Google Search Central E-E-A-T not a direct ranking factor quality raters generative AI search citations brand recommendations research 2025Google ↗
OBSERVEDReason
Google AI Overviews sources selection ranking systems documentation AI search brand recommendations E-E-A-TGoogle ↗
OBSERVEDOther / navigational
generative engine optimization source selection brand mentions citations study GEO paper 2024 PrincetonGoogle ↗
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
Google Search Central E-E-A-T not a direct ranking factor quality raters generative AI search citations brand recommendations research 2025 Google ↗
Google AI Overviews sources selection ranking systems documentation AI search brand recommendations E-E-A-T Google ↗
generative engine optimization source selection brand mentions citations study GEO paper 2024 Princeton Google ↗
- Creating Helpful, Reliable, People-First Content | Google Search Central | Documentation | Google for Developers · developers.google.com
- A Guide to Google Search Ranking Systems | 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.cn
- GEO: Generative Engine Optimization · collaborate.princeton.edu
- How We Built a Content Optimization Tool for AI Search [Study] · semrush.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
Google Search Central E-E-A-T not a direct ranking factor quality raters generative AI search citations brand recommendations research 2025 OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
Google AI Overviews sources selection ranking systems documentation AI search brand recommendations E-E-A-T OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 | |
generative engine optimization source selection brand mentions citations study GEO paper 2024 Princeton OBSERVED | Google ↗ AI Mode ↗ | — | Other / navigational | — | — | 1x of 1 |