In short
AI assistants now drive over 25% of high-intent buyer research. Here's the exact framework we use to make our clients the source LLMs quote.
Introduction
Generative search has replaced exploration. Buyers who used to scroll Google for ten minutes now ask ChatGPT or Perplexity, get a synthesized answer, and click only the cited sources.
If your brand isn't named in those answers, you're invisible at the most important step of the buying journey. This article breaks down the four signals that determine whether LLMs cite you.
1. Entity authority over keyword density
LLMs don't tokenize the way Google's classic index does. They store entities — brands, people, products, places — and their relationships. The brands that get cited are the ones whose entity graphs are dense, consistent and verifiable across the open web.
That means structured data (Organization, Person, Product, sameAs), Wikipedia / Wikidata presence where merited, consistent NAP and brand mentions across publications.
2. Original data and proprietary research
Survey-based studies, benchmark reports and proprietary datasets are some of the highest-probability citation signals. LLMs surface them because they're attributable and unique.
3. Citation-grade content structure
Definitions in 40–60 words. Comparisons in tables. Steps in ordered lists. Claims with linked sources. Pages that mix narrative and chunked, citable atoms get pulled into AI answers far more than pages that don't.
4. Brand mentions across the open web
LLMs are trained on the open web. The more your brand is named in podcasts, articles, comparison posts and expert citations, the higher your weight as an authoritative entity.
The compound effect
We measure citation share-of-voice weekly using Profound and a custom prompt harness. Clients who execute on all four signals consistently see brand citations in ChatGPT and Perplexity within 60–90 days.
AI SEO is not a new keyword to rank for. It's a new game.
