AI Fan-Out Analysis

Best Annuity Rates Query Fan Out Data

“best annuity rates”

Analysis run on 14 July 2026· via Claude, Gemini, Perplexity, ChatGPT

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

Extraction Summary

Claude, Gemini, Perplexity, ChatGPT

Providers queried

Complete

Fan-Out Ratio

1:651

Avg Priority

25%

Clusters

34

Intent Types

6

Total Fan-Outs

651

From 1 seed query

Question Density

35%

227 interrogative queries

Cross-Model Signals

11

Queries across 50%+ of models

Intent Spread

6

Distinct intent types found

How AI models understand this topic

AI models conceptually understand "best annuity rates" primarily as a commercial and comparison query, driven by a user's urgent need to identify the most financially advantageous and contextually suitable annuity product. This framing prioritises direct comparison across major UK providers and specialist brokers, alongside comprehensive explanations of various annuity types (e.g., enhanced, fixed-term, inflation-linked) and the integration of independent advisory and regulatory oversight. Consequently, AI serves user needs by offering a holistic decision-making framework, guiding users through product selection and provider assessment with an emphasis on both optimal rates and trusted, compliant financial guidance.

What users are likely looking for
Based on AI fan-out signals for “best annuity rates”
  • 1Educational explanations, beginner guides and "how it works" content
  • 2In-depth content covering "Age UK"
  • 3In-depth content covering "annuities"
  • 4Direct answers to questions like: "Which?"
Intent Distribution
Search intent breakdown across all fan-out queries.
Informational: 402
Comparison: 114
Transactional: 56
Commercial: 44
Local: 34
Technical: 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

Scottish Widows

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

Aviva

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

Legal & General (L&G)

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

Canada Life

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

enhanced annuity rates UK

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
+646 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.

3

All models

8

Most models

26

Some models

614

One model only

3 universal queries (all models agree)

QueryGeminiChatGPTClaudePerplexity
Scottish Widows✓✓✓✓
Aviva✓✓✓✓
Legal & General (L&G)✓✓✓✓
✓ Surfaced by this model✗ Not surfaced— Not included in this run

Showing 3 of 3 universal queries from 651 total

Semantic Clusters(34)

Age UK

143
Informational
Content gap0

annuities

21
Informational
Content gap0

lifetime annuities

11
Informational
Content gap0

annuity calculator UK

5
Informational
Content gap0

What are current annuity rates?

25
Informational
Content gap0

My Pension Expert

34
Informational
Content gap0
Highest Priority Signal
Scottish Widows

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

Priority score

80%

Model coverage

100%

Dominant Intent
Informational

62% of queries show informational intent — users want to learn before committing.

402queries
Top Semantic Cluster
Age UK
Queries in cluster143
Content gap score0
Dominant intentInformational

Top cited domains

vertexaisearch.cloud.google.comwww.youtube.comwww.retirementline.co.ukpolicyline.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.

    Best Annuity Rates Query Fan Out Data | Keyword Universe