AI Fan-Out Analysis

Query Fan-Out Insights

“what are the best pieces of garden furniture and furniture sets available for a patio with a circular table area?”

Analysis run on 7 July 2026· via Gemini

Semantic expansion across 1 AI provider. See how AI models deconstruct a seed keyword into a web of discovery queries.

Extraction Summary

Gemini

Providers queried

Complete

Fan-Out Ratio

1:244

Avg Priority

72%

Clusters

11

Intent Types

6

Total Fan-Outs

244

From 1 seed query

Question Density

18%

45 interrogative queries

Cross-Model Signals

244

Queries across 50%+ of models

Intent Spread

6

Distinct intent types found

How AI models understand this topic

AI models conceptually understand this topic as a multi-faceted commercial and comparison query, indicating a user deeply engaged in the research and selection phase for garden furniture tailored to a specific circular patio configuration. This is evidenced by the high priority given to specific brands (e.g., Bramblecrest, Maze, Royalcraft), product types explicitly designed for circular spaces (e.g., bistro sets, small circular patio furniture), and critical practical considerations like recommended accessories (e.g., parasols, lazy susans) and necessary clearance space. This signals AI's capacity to serve users as a comprehensive purchasing assistant, blending specific product discovery and brand-level insights with practical, informational guidance to facilitate a well-informed transactional decision for a niche spatial requirement.

What users are likely looking for
Based on AI fan-out signals for “what are the best pieces of garden furniture and furniture sets available for a patio with a circular table area?”
  • 1Educational explanations, beginner guides and "how it works" content
  • 2In-depth content covering "B&Q"
  • 3In-depth content covering "Resin"
  • 4Direct answers to questions like: "What accessories are recommended for circular patio dining sets (e.g., parasols, covers)?"
Intent Distribution
Search intent breakdown across all fan-out queries.
Informational: 218
Commercial: 7
Comparison: 6
Local: 6
Transactional: 4
Technical: 3
Question Starter Analysis
Frequency of question openers across fan-out queries.
Top Priority Signals
Highest-ranked fan-out queries by AI priority score.
QueryIntent

Bramblecrest

Update/expand existing content to better target this query. High cross-LLM consensus — prioritise for AI search visibility. Long-form evergreen guide with FAQ schema markup.

Informational

Quatropi

Update/expand existing content to better target this query. High cross-LLM consensus — prioritise for AI search visibility. Long-form evergreen guide with FAQ schema markup.

Informational

Bistro sets for circular patios

Update/expand existing content to better target this query. High cross-LLM consensus — prioritise for AI search visibility. Long-form evergreen guide with FAQ schema markup.

Informational

Maze

Update/expand existing content to better target this query. High cross-LLM consensus — prioritise for AI search visibility. Long-form evergreen guide with FAQ schema markup.

Informational

Royalcraft

Update/expand existing content to better target this query. High cross-LLM consensus — prioritise for AI search visibility. Long-form evergreen guide with FAQ schema markup.

Informational
+239 more queries in the full dataset

Free to start · Gemini included · No credit card required

Cross-Model Consensus
Which queries surface across multiple AI providers — the strongest content signals.
This analysis used Gemini only. Run with all providers to see cross-model consensus data.

Top 5 queries — Gemini

QueryGeminiChatGPTClaudePerplexity
Bramblecrest✓———
Quatropi✓———
Bistro sets for circular patios✓———
Maze✓———
Royalcraft✓———
✓ Surfaced by this model✗ Not surfaced— Not included in this run

Full cross-model data requires running all 4 AI providers

Semantic Clusters(11)

B&Q

97
Informational
Content gap0

Resin

9
Informational
Content gap0

Etsy UK

35
Informational
Content gap0

Polywood

51
Informational
Content gap0

Choosing the right size for your space

6
Informational
Content gap0

The Range

7
Informational
Content gap0
Highest Priority Signal
Bramblecrest

Scored highest across all providers — a strong cross-validated content opportunity.

Priority score

90%

Model coverage

100%

Dominant Intent
Informational

89% of queries show informational intent — users want to learn before committing.

218queries
Top Semantic Cluster
B&Q
Queries in cluster97
Content gap score0
Dominant intentInformational

Top cited domains

vertexaisearch.cloud.google.com
How it works

The Query Fan-Out Tool queries real AI models via API to reveal how they semantically expand a seed topic into related searches and follow-up questions.

Cross-model coverage identifies queries that surface across multiple AI providers — the strongest signals for AEO and SEO content strategy.