AI Fan-Out Analysis

Weeping Peninsula Query Fan Out Analysis Elden Ring

“I'm in the weeping peninsula in elden ring what are some of the items I should collect before I move on? Where do I go next?”

Analysis run on 7 July 2026· via ChatGPT, Gemini

Semantic expansion across 2 AI providers. See how AI models deconstruct a seed keyword into a web of discovery queries.

Extraction Summary

ChatGPT, Gemini

Providers queried

Complete

Fan-Out Ratio

1:842

Avg Priority

16%

Clusters

32

Intent Types

7

Total Fan-Outs

842

From 1 seed query

Question Density

26%

216 interrogative queries

Cross-Model Signals

23

Queries across 50%+ of models

Intent Spread

7

Distinct intent types found

How AI models understand this topic

AI models conceptually understand this topic primarily through an informational and navigational lens, driven by the dominant user intent to optimize in-game progression and receive clear guidance. They prioritize key sub-topics like specific geographical locations within Elden Ring (e.g., Castle Morne, Limgrave, Stormveil Castle), crucial item types (Sacred Tear, Morning Star), and meta-game advice such as level recommendations, comprehensive walkthroughs, and maps. This signals that AI aims to serve user needs by providing a structured and anticipatory knowledge base, not only addressing explicit queries about immediate items and next steps but also preemptively offering context and future progression strategies.

What users are likely looking for
Based on AI fan-out signals for “I'm in the weeping peninsula in elden ring what are some of the items I should collect before I move on? Where do I go next?”
  • 1Educational explanations, beginner guides and "how it works" content
  • 2In-depth content covering "Irina"
  • 3In-depth content covering "Map Fragments"
  • 4Direct answers to questions like: "What level should I be before leaving the Weeping Peninsula?"
Intent Distribution
Search intent breakdown across all fan-out queries.
Informational: 600
Local: 110
Comparison: 63
Commercial: 58
Transactional: 8
Technical: 2
Navigational: 1
Question Starter Analysis
Frequency of question openers across fan-out queries.
Top Priority Signals
Highest-ranked fan-out queries by AI priority score.
QueryIntent

What level should I be before leaving the Weeping Peninsula?

Update/expand existing content to better target this query. Multiple LLMs surface this — good LLM citation candidate. Roundup or review format; include expert quotes and ratings.

Commercial

Elden Ring Weeping Peninsula level recommendation

Update/expand existing content to better target this query. Multiple LLMs surface this — good LLM citation candidate. Roundup or review format; include expert quotes and ratings.

Commercial

Weeping Peninsula

Update/expand existing content to better target this query. Multiple LLMs surface this — good LLM citation candidate. Long-form evergreen guide with FAQ schema markup.

Informational

Elden Ring

Update/expand existing content to better target this query. Multiple LLMs surface this — good LLM citation candidate. Long-form evergreen guide with FAQ schema markup.

Informational

Castle Morne

Update/expand existing content to better target this query. Multiple LLMs surface this — good LLM citation candidate. Long-form evergreen guide with FAQ schema markup.

Informational
+837 more queries in the full dataset

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Cross-Model Consensus
Which queries surface across multiple AI providers — the strongest content signals.

0

All models

23

Most models

819

Some models

0

One model only

Showing 0 of 0 universal queries from 842 total

Semantic Clusters(32)

Irina

136
Informational
Content gap0

Map Fragments

24
Local
Content gap0

NPCs

18
Local
Content gap0

Limgrave

65
Informational
Content gap0

Weeping Peninsula walkthrough Elden Ring

2
Informational
Content gap0

Lore and story elements

4
Informational
Content gap0
Highest Priority Signal
What level should I be before leaving the Weeping Peninsula?

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

Priority score

36%

Model coverage

67%

Dominant Intent
Informational

71% of queries show informational intent — users want to learn before committing.

600queries
Top Semantic Cluster
Irina
Queries in cluster136
Content gap score0
Dominant intentInformational
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.