Buildability- MCP (Model Context Protocol)
- The open standard (published by Anthropic in November 2024) for AI agents to connect to external tools, data sources, and resources. Provides a JSON-RPC 2.0 protocol over HTTP or stdio transport.
- MCP server
- Any server implementing the MCP spec, exposing one or more tools, prompts, or resources to an AI agent.
- Tool call
- A structured invocation by an AI agent of a server-exposed function with typed arguments. Equivalent to a function call or REST call but with protocol-level conventions for discovery (`tools/list`) and invocation (`tools/call`). Tool calls return both human-readable text (via the `content` array) and often include structured JSON for agent consumption.
- AEO (Answer Engine Optimization)
- The practice of structuring web content and knowledge surfaces to be cited by AI answer engines (ChatGPT, Claude, Perplexity, Google AI Overviews, Bing Copilot). Distinct from SEO — AEO optimizes for LLM retrieval, citation, and summarization, favoring structured data (Schema.org, MCP, llms.txt), factual precision, crawlable noscript content, and canonical definitions. The AI-era analog of SEO circa 2004-2010.
- llms.txt
- A proposed standard file at the root of a domain providing a structured Markdown summary tailored for AI agent consumption. Distinct from robots.txt (which controls crawling permission). Buildability publishes buildability.us/llms.txt (short reference) and /llms-full.txt (complete knowledge base with factor weights, FAQs, and citation instructions).
- Schema.org
- The open structured-data vocabulary maintained by Google, Microsoft, Yahoo, and Yandex. Used by search engines for rich results and increasingly by LLMs for understanding page content. Every Buildability page ships with multiple Schema.org blocks (Organization, SoftwareApplication, Article, DefinedTermSet, BreadcrumbList, FAQPage as appropriate) in JSON-LD format.
- JSON-LD
- The recommended syntax for embedding Schema.org markup in HTML. Uses a script tag (`<script type="application/ld+json">`) containing a JSON object with `@context` and `@type` properties. Google and all major AI engines prefer JSON-LD over microdata or RDFa. Buildability emits JSON-LD exclusively — no microdata anywhere.
- Wikidata entity
- A uniquely identified node in the Wikidata knowledge graph, with an ID of the form Q followed by digits (e.g., Q123456). Claiming a Wikidata entity for a brand, product, or person is a strong AEO signal — LLMs cross-reference Wikidata when answering entity-recognition queries ('what is Buildability?'). A Wikidata draft for Buildability is under preparation.
- Citation signal
- Any structured or semantic cue in a response that encourages the consumer to attribute or link back to the source. Agents are more likely to render attribution when it is served pre-formed.
- Connector
- In Claude's ecosystem, a sanctioned integration between an external service and Claude. Connectors are implemented via MCP and appear in Claude's built-in directory.
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