Discoverability surfaces
An LLM whose trained weights are publicly available for download, fine-tuning, and self-hosting. Distinct from 'open source' in the strict sense — most open-weight models do not release training data or full training code, only the final weights. Llama, Mistral, Qwen, Gemma, DeepSeek, and the StableLM family are the headline open-weight providers. Closed-weight models (GPT-4, Claude) are accessed only via API.
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. "Open-Weight Model." VC Deal Flow Signal Glossary, https://signals.gitdealflow.com/define/open-weight-model.
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