Elevate Your SEO Strategy with the Fan Out Query Approach to Boost Citations and Visibility
The Fan Out Query SEO Approach posits that when a user enters a search term into Google, such as “best CRM software for startups,” the AI does not merely execute a straightforward search. Instead, it dissects the query into various related sub-queries such as “startup CRM pricing,” “best CRM for small teams,” and “CRM versus spreadsheet for startups.” The AI then gathers data from pages that excel in these associated sub-queries, irrespective of their rankings for the original search term. This multi-layered strategy allows the AI to provide a more comprehensive and nuanced response.
This encapsulates the mechanism of the Fan Out Query SEO Approach, where grasping its complexities can elevate your strategy from merely focusing on a single keyword to effectively positioning your content for success across a spectrum of AI search results.
Recent research conducted by Cyrus Shepard into factors influencing AI citation rankings indicates that elements such as URL accessibility, search rankings, fan-out rankings, preview control, query-answer alignment, and intent-format compatibility exhibit the strongest correlations with AI citations. Notably, the fan-out ranking factor alone—how well your page performs for AI-generated sub-queries—can enhance the likelihood of citation by an impressive 161%.
Why Securing a Top SERP Position Does Not Ensure AI Citations
Conventional SEO strategies have primarily concentrated on optimising for a single target keyword, yet the rise of AI search dramatically alters this paradigm.
When AI compiles answers, it performs multiple searches to formulate a well-rounded response. Research from AirOps shows that merely 15% of pages identified by AI systems earn citations, while the remaining 85% are discovered but ultimately not referenced.
Interestingly, pages that do receive citations frequently do not hold the top position for the primary query. Instead, they generally rank well for related side queries—sub-topics, pertinent questions, and relevant search intents that AI utilises to parse the original question.
Analysis from Growth Memo revealed that pages addressing 26-50% of ChatGPT's fan-out sub-queries are cited more often than those that solely cover 100% of the main query. A narrow focus on a single keyword may blind you to the broader spectrum of related searches that inform AI responses.
Practical Steps to Achieve a 161% Increase in Citations with the Fan-Out SEO Approach
Take into account a page focused on “project management software.” The potential fan-out sub-queries could include:
- – “how to select project management tools”
- – “free versus paid project management solutions”
- – “best project management software for remote teams”
- – “project management features checklist”
- – “team collaboration software comparison”
If your page ranks #15 for “project management software,” yet stands #3 for “free versus paid project management solutions” and #5 for “best project management software for remote teams,” it may still be featured in the AI Overview, potentially outshining competitors that occupy the top spot for the primary term.
This may seem counterintuitive: according to Semrush data, ChatGPT typically cites lower-ranking pages (positions 21+) approximately 90% of the time. These pages succeed due to their extensive fan-out coverage rather than their superiority on head terms.
Examining the Data that Supports the Efficacy of the Fan Out Query SEO Approach
A comprehensive analysis of AI SEO statistics by Position Digital highlights critical benchmarks:
- – Only 2% of cited URLs feature across AI Overviews, ChatGPT, and Perplexity. A staggering 91% of citations are unique to a single AI platform, underscoring the importance of a targeted strategy across multiple channels.
- – AI Overviews and AI Mode exhibit minimal overlap: only 10.7% of URLs and 16% of domains are common to both.
- – ChatGPT tends to reference older content more frequently than AIO and Perplexity, with 29% of citations coming from 2022 or earlier.
Each AI platform displays distinct fan-out behaviours. To maximise your results, it is crucial to understand their specific tendencies in generating sub-queries.
Four Essential Steps to Successfully Implement the Fan Out Query SEO Approach
1. Define Your Primary Focus Area for the Fan Out Query SEO Approach
Utilise tools such as Ahrefs, Semrush, or Surfer SEO to uncover:
- – Related questions found in the “People Also Ask” section
- – “Searches related to” suggestions at the bottom of the SERP
- – Long-tail variations derived from your keyword research
- – Questions discussed in forum content and Reddit threads relevant to your topic
Assemble a list of 15-25 sub-queries for each main topic. These will delineate your fan-out focus area.
2. Develop Topic Clusters Rather than Isolated Pages
Avoid the temptation to create a singular comprehensive guide that covers all aspects. Research from Growth Memo indicates that pages featuring headlines that directly address the question are cited by ChatGPT 41% of the time, while those with less relevant headlines observe a decline to 29%.
Instead, establish a topic cluster:
- – A primary page that directly answers the main query with a question-matching headline
- – Supporting pages that focus on 3-5 key fan-out sub-queries
- – Internal links that connect the entire cluster
The hub page targets the primary query, while the spoke pages address the sub-queries that contribute to AI responses.
3. Structure Content for the Initial 30%
44.2% of all LLM citations originate from the first 30% of the text—the introduction. This section contains the majority of extractable snippets, as highlighted in Growth Memo's analysis.
Enhance your introductions by:
- – Leading with a direct answer to the target query
- – Including 2-3 key statistics or facts early on
- – Using clear, declarative sentences (AI systems favour definitive language)
- – Positioning your most critical points within the opening paragraph
The “middle” section (30-70% of the text) accounts for 31.1% of citations, while the conclusion captures 24.7%.
4. Prioritise Intent-Format Compatibility Over Solely Keyword Matching
AI systems correlate queries to responses based on both format and topic relevance. For instance, if a user asks “how to choose,” your content should provide decision-making information rather than merely a product comparison. If the question is “best X for Y,” create a curated list.
Research from SE Ranking indicates that pages employing 120-180 words between headings receive 70% more ChatGPT citations compared to pages with sections under 50 words. Adequate spacing between concepts signals completeness and thoroughness.
What Common Misconceptions Persist Regarding the Fan Out Query SEO Approach?
- Schema markup does not improve AI visibility. A study by Ahrefs in May 2026 indicated that implementing structured data led to no significant increase in citations across AI Overviews, AI Mode, and ChatGPT. Clean HTML suffices—there is no need for bot-exclusive markdown or JSON formats.
- Your own domain citations are 6.5x less likely than external mentions. Branded references in Reddit discussions, Quora responses, and independent reviews yield more AI citations than your owned content. The earned media effect significantly influences AI search.
- AI recommendations exhibit considerable unpredictability. Research from SparkToro suggests that the likelihood of ChatGPT or Google's AI producing the same brand list after 100 queries is less than 1 in 100. Hence, instead of fixating on tracking exact citations, concentrate on nurturing the signals that correlate with citations.
Which Metrics Should You Use to Evaluate the Effectiveness of Your Fan Out Query SEO Approach?
Conventional ranking metrics do not adequately capture the true value of the Fan Out Query SEO Approach. Instead, focus on these key performance indicators:
- Sub-query rankings: Are your pages gaining traction for the fan-out queries within your designated focus area?
- Citation frequency: How often does your content appear in AI Overviews and chat citations?
- Position in AI responses: Are you being cited early (within the first 30%) or later (beyond the fold)?
- Traffic from AI referrals: Use analytics to isolate AI traffic and evaluate its volume and quality.
The Core Principle of the Fan Out Query SEO Approach
In the AI-driven landscape, SEO extends beyond the pursuit of a single keyword—it centres on mastering an entire topic ecosystem.
The Fan Out Query SEO Approach shifts the focus from “ranking #1 for X” to “ranking within the top 10 for X and its 20 associated sub-queries.” This dual positioning provides AI systems with multiple pathways to reference your content, thereby enhancing your visibility.
Develop topic clusters, optimise introductions for early snippet extraction, align format with query intent, and monitor sub-query rankings alongside primary term positions.
Pages that secure citations in AI Overviews for the Fan Out Query SEO Approach often do not possess the most backlinks or the most extensive content.
These pages frequently appear in the AI's fan-out query search results, and achieving that visibility is largely within your control.
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References:
– [Cyrus Shepard / Zyppy Signal – AI Citation Ranking Factors](https://signal.zyppy.com/p/ai-citation-ranking-factors)
– [Growth Memo – The Science of How AI Pays Attention](https://www.growth-memo.com/p/the-science-of-how-ai-pays-attention)
– [Growth Memo – Shorter Focused Content Wins in ChatGPT](https://www.growth-memo.com/p/shorter-focused-content-wins-in-chatgpt)
– [Position Digital – 150+ AI SEO Statistics for 2026](https://www.position.digital/blog/ai-seo-statistics/)
– [AirOps – From Retrieved to Cited: How Commercial Content Earns Citations](https://www.airops.com/report/from-retrieved-to-cited-how-commercial-content-earns-citations-in-ai-search)
– [SE Ranking – How to Optimize for ChatGPT](https://seranking.com/blog/how-to-optimize-for-chatgpt/)
– [SparkToro – AI Recommendations Are Highly Inconsistent](https://sparktoro.com/blog/new-research-ais-are-highly-inconsistent-when-recommending-brands-or-products-marketers-should-take-care-when-tracking-ai-visibility/)
– [Ahrefs – Schema Has No Impact on AI Visibility](https://ahrefs.com/blog/schema-ai-citations/)
– [Ahrefs – Top 10 Most Cited Domains in AI Assistants](https://ahrefs.com/blog/top-10-most-cited-domains-ai-assistants/)
– [Koanthic – AI Overview Citations: 76% Link to Top 10 Rankings](https://koanthic.com/en/ai-overview-citations-76-link-to-top-10-rankings/)
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