AI Fan-Out Analysis

Query Fan-Out Insights

“i work from home and my broadband is down​”

Analysis run on 8 September 2026· via Claude, Perplexity, ChatGPT, Gemini

Semantic expansion across 4 AI providers. See how AI models deconstruct a seed keyword into a web of discovery queries.

Extraction Summary

Claude, Perplexity, ChatGPT, Gemini

Providers queried

Complete

Fan-Out Ratio

1:665

Avg Priority

25%

Clusters

16

Intent Types

7

Total Fan-Outs

665

From 1 seed query

Question Density

35%

230 interrogative queries

Cross-Model Signals

11

Queries across 50%+ of models

Intent Spread

7

Distinct intent types found

How AI models understand this topic

AI models conceptualise this query primarily as an urgent operational continuity crisis for remote workers, prioritising a multi-tiered diagnostic sequence that encompasses real-time outage verification via Downdetector and Openreach, provider-specific navigational triage across major UK telecommunications networks, and immediate technical failovers such as mobile tethering and dedicated 4G/5G backup routers. By simultaneously surfacing regulatory compensation frameworks through Ofcom and alternative commercial pathways via switching aggregators, the algorithms signal a sophisticated, end-to-end framing of user needs that bridges acute technical problem-solving with downstream consumer remediation and provider churn.

What users are likely looking for
Based on AI fan-out signals for “i work from home and my broadband is down​”
  • 1Educational explanations, beginner guides and "how it works" content
  • 2In-depth content covering "BT"
  • 3In-depth content covering "emergency mobile broadband dongle UK"
  • 4Direct answers to questions like: "Should I consider backup broadband or mobile data plans if I work from home regularly?"
Intent Distribution
Search intent breakdown across all fan-out queries.
Informational: 454
Comparison: 90
Commercial: 32
Transactional: 28
Technical: 28
Local: 27
Navigational: 6
Question Starter Analysis
Frequency of question openers across fan-out queries.
Top Priority Signals
Highest-ranked fan-out queries by AI priority score.
QueryIntent

Ofcom

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

Virgin Media

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

Downdetector

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

BT

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

Openreach

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
+660 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.

4

All models

7

Most models

5

Some models

649

One model only

4 universal queries (all models agree)

QueryGeminiChatGPTClaudePerplexity
Ofcom✓✓✓✓
Virgin Media✓✓✓✓
Downdetector✓✓✓✓
BT✓✓✓✓
✓ Surfaced by this model✗ Not surfaced— Not included in this run

Showing 4 of 4 universal queries from 665 total

Semantic Clusters(16)

BT

175
Informational
Content gap0

emergency mobile broadband dongle UK

27
Informational
Content gap0

Allianz

105
Informational
Content gap0

HMRC

54
Informational
Content gap0

Ofcom

38
Informational
Content gap0

Ofcom compensation broadband down

19
Informational
Content gap0
Highest Priority Signal
Ofcom

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

Priority score

74%

Model coverage

100%

Dominant Intent
Informational

68% of queries show informational intent — users want to learn before committing.

454queries
Top Semantic Cluster
BT
Queries in cluster175
Content gap score0
Dominant intentInformational

Top cited domains

vertexaisearch.cloud.google.combroadbandswitch.uknetsorted.co.ukwww.ofcom.org.uk
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.

    Work From Home My Broadband is Down​ | Query Fan Out Data | Keyword Universe