AI Search Strategist Kaleigh Moore Unveils the "Source Signal Stack," a New AEO Framework for Earning LLM Citations
As March 2026 data from Profound indicates that LinkedIn is now the #1 most-cited domain for professional queries across ChatGPT, Google AI Mode, and Perplexity, Kaleigh Moore argues that B2B brands are overlooking their single biggest citation lever: their own employees.Today, AI search and AEO (Answer Engine Optimization) strategist Kaleigh Moore introduced the Source Signal Stack, a four-layer diagnostic framework designed to explain why B2B companies that rank well in traditional search still fail to earn citations in AI-generated answers.
The framework arrives at a moment of sharp disruption in B2B search. Recent AirOps data indicates that 85% of AI citations now come from third-party platforms rather than brand-owned properties, and Moz research shows 88% of Google AI Mode citations do not appear in the organic top-10 search results. In parallel, the Profround study indicates LinkedIn has climbed from roughly the #11 most-cited domain on ChatGPT in November 2025 to approximately #5 by February 2026 — more than doubling its citation frequency in a single quarter and overtaking Wikipedia, YouTube, and every major news publisher for professional queries.
"The B2B content model of the past decade does not copy-paste over to optimizing for LLM citations," said Moore. "Large language models aren't just evaluating content anymore—they're evaluating people. They're asking whether the person attached to a given idea is a credible, independently verifiable source. Most B2B companies have one or two entities carrying that weight: a CEO with a LinkedIn presence and a company blog. That's a top-heavy stack in a game that rewards breadth of independent verifi
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