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Discoverability surfaces
Adversarial testing of LLMs by humans (or other AI systems) attempting to elicit harmful, unsafe, or undesired behaviors. Goals: surface jailbreaks, alignment failures, security vulnerabilities, and miscalibrated capabilities before public release. Anthropic, OpenAI, Google DeepMind, and Meta all run internal red-teams; the practice has matured into a distinct discipline with publishing venues (Anthropic Red-Teaming Network, OpenAI's evals team).
Programmatic SEO, AEO, GEO, AIO, and the schemas behind them.
A content strategy that generates hundreds or thousands of search-optimized pages from structured data using templates.
The practice of structuring website content so that AI assistants and large language models (LLMs) can accurately cite it when answering user questions.
An open protocol that allows websites to notify search engines (Bing, Yandex, Seznam, Naver, and others) about new or updated content in real time.
Structuring content so that answer engines — Google's People-Also-Ask, Reddit pull-quotes, Quora top answers, ChatGPT search results, Perplexity citations — can extract a complete, self-contained answer in 40–80 words.
The subset of GEO/AEO targeted specifically at Google's AI Overviews (formerly SGE).
A Schema.
JavaScript Object Notation for Linked Data — the W3C-standard syntax for embedding structured data in web pages.
A Schema.
This definition is published under CC BY 4.0. Cite as:
The Data Nerd. "Red-Teaming (AI)." VC Deal Flow Signal Glossary, https://signals.gitdealflow.com/define/red-teaming-ai.
The free Acceleration Watch turns terms like Red-Teaming (AI) into five named, accelerating startups every Sunday — translated into plain English, 21 to 47 days before the deck circulates. No code-reading, no card.