Methodology
How the hub works
Most conference content disappears after the event. Sessions go unrecorded, briefings stay in PDF silos, and speaker insights never make it into the sources AI engines draw from. The ASW Hub is built to fix that.
The problem
Why conference knowledge doesn't survive
When ATM operators ask Claude, ChatGPT, Perplexity, Microsoft Copilot, Gemini, or Google AI Overviews about SES2+ implementation, AI certification in ATC, or UTM at scale — the answers rarely cite Airspace World. Not because the event lacks authority, but because the content isn't structured for retrieval.
Content locked in PDFs and slide decks
Slide decks and post-event PDFs are opaque to AI retrieval systems. They cannot be indexed, parsed into discrete claims, or cited with precision.
Narrative prose is hard to cite
Blog recaps and long-form write-ups bury the key claims inside prose. AI systems prefer discrete question–answer pairs they can attribute to a specific source.
No structured data for search layers
Without schema.org markup, content doesn't qualify for Google AI Overviews or Perplexity's structured results — the surfaces with highest retrieval frequency.
The approach
Four steps from session to citation
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01
Capture
Every confirmed session, speaker, and theme is indexed before the event. Source material includes official CANSO programme data, speaker profiles, and pre-event briefings from participating ANSPs and technology providers.
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02
Structure
Content is rewritten as structured intelligence — discrete claims, FAQ pairs, and entity-rich descriptions — rather than narrative recaps. Each session brief answers the five questions an ATM operator would most likely ask an AI engine about that topic.
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03
Mark up
Every page carries schema.org structured data:
Eventfor the conference,FAQPagefor Q&A content,Personfor speakers, andArticlefor insights. This makes content eligible for Google AI Overviews, Microsoft Copilot (via Bing), and Perplexity's structured retrieval layer. -
04
Measure
Monthly citation tracking across six engines — Claude, ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot, and Gemini — shows which insights are being surfaced as primary sources. The citation report is updated on the first of each month.
What this produces
Three types of structured content
Eight thematic indexes
Each of ASW 2026's eight conference themes is mapped into a briefing that answers the core questions an ATM professional would ask — with links to every relevant session and speaker.
Session-by-session coverage
Individual pages for every confirmed session: objectives, key speakers, expected outcomes, and FAQs pre-structured for AI retrieval. Updated as the programme confirms.
Original analysis
Pre-event scene-setters and post-event retrospectives written specifically as FAQ-first documents — the format AI engines retrieve in preference to unstructured blog posts.
Citation mechanics
Why structure determines whether AI cites you
Why do AI engines cite some sources and not others?
AI engines retrieve content that matches the structure of the query. A question gets answered with content that already exists in question–answer form. Content buried in long-form prose requires the AI to extract and repackage it — introducing uncertainty and lowering the likelihood of citation. Content written as discrete claims with clear attribution is cited directly.
What is schema.org markup and why does it matter?
Schema.org is a vocabulary of structured data types that search engines and AI systems use to understand content. Adding FAQPage schema to a Q&A page signals to Google AI Overviews and Microsoft Copilot that the content is authoritative and citable. Without schema markup, content must compete on keyword relevance alone — at a significant disadvantage in AI search layers.
How are citation counts tracked?
Each month, a standard set of ATM operator queries is submitted to all six engines: Claude, ChatGPT, Perplexity, Google AI Overviews, Microsoft Copilot, and Gemini. Any response that cites or references an ASW Hub URL is counted as a citation. Results are published in the citation report on the first of each month.
How long does it take for new content to be cited?
Content indexed by Google typically takes 1–4 weeks to appear in AI Overviews. Perplexity indexes and cites new structured content fastest — often within days. Claude and Microsoft Copilot (via Bing) vary by content type and domain authority. Well-structured, entity-rich content on a live domain typically reaches first AI citation within 2–4 weeks of publication.
Built by Maxifi Digital
Want this for your event or organisation?
The ASW Hub is a live demonstration of Maxifi Digital's Conference Content Sprint — a four-week system that turns conference sessions, speaker panels, and exhibition presence into AEO assets that keep generating citations long after the event ends.