Discoverability surfaces
Persistent state an LLM agent maintains across turns, sessions, or interactions. Three common memory types: (1) short-term — the current context window; (2) episodic — recent conversation history retrieved via RAG; (3) long-term — facts and preferences stored in a separate database. Letta (formerly MemGPT) is the canonical reference implementation for persistent agent memory; modern frameworks (Mastra, CrewAI) ship memory primitives as a first-class concept.
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. "Agent Memory." VC Deal Flow Signal Glossary, https://signals.gitdealflow.com/define/agent-memory.
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