Definition
LLMs deliberately diversify sources to reduce hallucination. The brand that 6 unrelated domains name beats the brand that only its own homepage describes - even if that homepage is more authoritative. Earning third-party placements, comparison roundups, analyst inclusion, and Reddit advocacy is how you build consensus.
Why it matters
Cross-source consensus sits in the "Signals & ranking" layer of the AI search stack. Teams that handle it well get cited more, recommended more, and earn more of the AI-mediated revenue in their category. Teams that ignore it spend a year wondering why their content investment never moves the needle inside ChatGPT or Perplexity.
Related terms
- Training corpus - The dataset an LLM was trained on. Brands that appear frequently and consistently in the training corpus are recalled by name in answers, with no live retrieval required.
- LLM SEO - Optimizing for Large Language Models - making sure ChatGPT, Claude, Gemini, Perplexity, and Grok know about, cite, and recommend your brand.
- Mention rate - The percentage of prompts in a defined panel where an LLM names your brand. The headline metric of LLM SEO programs.
Apply it
The LLM SEO playbook ties every concept in this glossary into a single operating model. If you want to see how your brand performs across all the LLMs at once - mention rate, citation share, sentiment, rank - start with the free GEO audit or skip straight to a free Livesov account.