Part of the 6-step GEO Revenue Engine

AI Corpus Analyzer: discover which content sources each LLM prefers to cite

No competitor does this. Knowing which platforms each LLM prefers is the #1 lever for AI citation in 2026. Wikipedia's ChatGPT citation share dropped from 55% to under 20% — AI sources are shifting, and you need to know where they're going.

Revenue impact

No competitor does this. Knowing which platforms each LLM prefers is the #1 lever for AI citation in 2026. Wikipedia's ChatGPT citation share dropped from 55% to under 20% — AI sources are shifting fast. If you're still investing only in SEO, you're missing the real AI citation channels.

3 counter-intuitive facts about AI corpus sources

Wikipedia's AI influence is declining

Wikipedia ChatGPT citation share dropped from 55% to under 20%. AI models are increasingly citing Reddit, Quora, and commercial content instead. Don't assume Wikipedia is still the top AI source.

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ChatGPT is a buying channel

50% of ChatGPT links point to commercial/service websites. Users make buying decisions inside ChatGPT. If ChatGPT doesn't cite you, you lose pipeline.

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AI doesn't care about your SEO ranking

Semrush research: AI engines cite content that ranks lower in traditional search — they prioritize content quality and structure over link authority. Your SEO ranking doesn't protect you.

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FAQ

What is an AI corpus analyzer?
An AI corpus analyzer reveals which content sources and platforms each LLM uses as training data. For example, ChatGPT prefers Wikipedia (though declining from 55% to 20%), Reddit, and authoritative news. Claude prefers academic content and arXiv. Understanding these preferences tells you exactly where to publish content for maximum AI citation.
Why does knowing LLM corpus preferences matter?
No competitor does this. Knowing which platforms each LLM prefers is the #1 lever for AI citation in 2026. If you want ChatGPT to cite you, publish on Reddit and news PR sites. If you want Google AI Overviews, focus on Quora. This knowledge lets you allocate content resources precisely where each AI model reads.
How is this different from SEO?
SEO focuses on Google search ranking. AI citation focuses on which content each LLM reads and cites. These are completely different systems. Wikipedia's ChatGPT citation share dropped from 55% to under 20%, and AI engines cite content that ranks lower in traditional search. You need a separate strategy for AI citation.
Which 9 AI models does this cover?
ChatGPT, Perplexity, Google AI Overviews, Google Gemini, Claude, Microsoft Copilot, Meta AI, Amazon Rufus, and Apple Intelligence. Each has different corpus preferences based on their parent company's content ecosystem and training data sources.
How do I use this data to improve AI citation?
Match your content publishing strategy to each LLM's preferences. If you sell B2B SaaS, focus on Reddit (for ChatGPT), Quora (for Google AIO), LinkedIn (for Copilot), and YouTube (for Gemini). Use the Off-page Optimization feature for a systematic execution plan.

Unlock the full 6-step Revenue Engine

This free analyzer shows you where AI models read. Aivius shows you how to get cited there — with off-page optimization execution across 9 AI models.

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