Analysis Evidence
Query Fan-Out Intelligence
2 engines · 1 market
•
No run active
A SEARCH TRACE, NOT A GUESS
See how AI search models expand your seed query
Enter a seed query to uncover genuine provider tool-call searches, inspect retrieved-versus-cited sources, measure client brand visibility, and generate a data-grounded GEO brief.
Sample Workspace Mode: The data below is representative illustrative data demonstrating OpenAI and Gemini fan-out traces. Unlock with server password to execute live provider API calls.
Some provider calls failed during this run. Successful evidence is shown below.
Searches Captured
ⓘ
0
queries
0 Gemini · 0 OpenAI
Sources Retrieved
ⓘ
0
0% cited
0 cited out of 0 retrieved
Brand Visibility
ⓘ
0%
Brand
0 mentions across answers
Tokens Consumed
ⓘ
0
tokens
0 in · 0 out
Search Trace Preview
Top tool-call searches issued by assistants
| Engine | Observed Search Query | Retrieved | Cited |
|---|
Source Conversion & Types
Retrieved vs. Cited and heuristic classification
Cited in Answer
0
Retrieved Only
0
Source Types (Heuristic Distribution)
* Classification based on domain authority, path patterns, and directory signatures.
Engine Query Overlap & Intent Divergence
Jaccard query similarity and shared vs. unique search angles across models
Answer Snapshots
Executive excerpts from each provider and run
Google AI Overview (Live SERP Check)
Optional Paid Action
Compare assistant answer with Google's live organic AI Overview SERP feature
People Also Ask (PAA)
| Engine | Market | Run | Search Tool-Call Query | Retrieved | Cited |
|---|
No matching queries found
Try clearing your search or engine filters.
What to Build: Content Plan & Page Briefs
Clustered search intents grouped by semantic similarity, with recommended page formats and high-impact working titles.
| Priority | Working Title & Representative Query | Recommended Page Format | Queries Covered |
|---|
💡 Strategy: Pages addressing multi-model fanout queries have significantly higher chances of being cited in Google AI Overviews and AI search summaries.
| Publisher Domain | Dominant Type | Retrieved | Cited | Cite Rate | Engines |
|---|
| Cited | Page Title & URL | Classified Page Type | Engines |
|---|
Generative Engine Optimization (GEO) Desk
Evidence-grounded brand positioning, mention frequency, criteria, and sentiment context.
Brands in the Answer
Share of voice and framing across answers
| Brand Entity | Mentions | Visibility | Framing Label |
|---|
Decision Factors & Criteria
Key attributes models evaluate for this query
💡 GEO Insight: Models prioritize sources that present structured data, independent benchmark tables, and clear answers addressing these specific decision factors.
Brand Sentiment & Answer Context Evidence
Authentic excerpts showing how brands are described in answers
| Brand | Positioning | Answer Context Excerpt |
|---|
* Framing signals are heuristic assessments grounded in observed answer sentences. They do not constitute an external sentiment score.
Answer Anatomy & Citation Links
Inspect full answer text, inline citation references, token usage, and external source URLs.