There is no public auction for “being named” in ChatGPT or Claude. Each engine retrieves sources, compresses them, and prefers pages it can parse and corroborate.
The details differ:
- ChatGPT (and browsing / search modes) pulls from the live web and licensed data. Clear entities, original explanations and consistent brand facts help it name you without inventing a competitor.
- Perplexity shows sources more explicitly. Domain-level citation patterns matter; a thin marketing page loses to a specific, dated explainer.
- Google AI Overviews sit on Search. Entity understanding, structured data and classic crawl health still weigh heavily.
- Gemini overlaps Google’s index and Workspace context. Inconsistent NAP, schema or product names confuse it.
- Claude is often used for due diligence. It leans on sources that read like evidence, not slogans.
What we can say without inventing numbers
We will not publish a fake “citation rate by engine.” Refresh cycles, retrieval sets and safety filters change. What we can say: engines prefer pages that answer the question immediately, mark up Q&A, declare an author or organization, and match facts found elsewhere.
What brands get wrong
They write 2,000 words that never answer the H1. They block GPTBot or PerplexityBot in robots.txt. They ship Organization schema with no logo, no sameAs, and three different legal names. They invent statistics the engine can contradict.
How we measure it
Optimizer360.ai runs the same buyer prompts across all five engines and records mentions, citations and framing. You can reproduce every finding by asking the engine yourself. That is the only honest scoreboard.