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Discoverability surfaces
A structured benchmark measuring LLM capability on a specific task. Common evals: MMLU (broad academic knowledge), HumanEval (Python code generation), GSM8K (math word problems), MATH (advanced math), GPQA (graduate-level science), SWE-bench (software engineering trajectories). Eval-driven development is the foundation of modern LLM training: evals provide the loss signal for reward modeling, the screening test for model releases, and the comparative basis for cross-lab model comparison.
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.
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The Data Nerd. "Eval (LLM Benchmark)." VC Deal Flow Signal Glossary, https://signals.gitdealflow.com/define/eval-llm.
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