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AI & Answer Engines

MCP (Model Context Protocol)

An open standard for connecting AI assistants to outside tools and data in a consistent way. It matters to businesses because it is how an assistant might one day query your booking system directly.

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AI & Answer Engines

Text-to-Speech

Turning written text into spoken audio. Modern voices are convincing enough to be used for real narration, which raises its own questions about disclosure.

AI & Answer Engines

FAQPage Schema

Markup that labels questions and their answers as questions and answers. It is the most direct way to hand an assistant something it can quote in full without swallowing the surrounding page.

AI & Answer Engines

JSON-LD

The format Google and the AI assistants prefer for structured data — a block of machine-readable facts tucked into the page. It states plainly what prose only implies: this is the business, this is the address, this is the price.

AI & Answer Engines

Content Negotiation

When the same URL serves different formats depending on what the visitor asks for — HTML for a browser, Markdown for an assistant. It lets one address serve people and machines without either getting a compromise.

AI & Answer Engines

Chunking

Splitting a long page into smaller passages so an AI can retrieve just the relevant part. Pages with clear headings chunk cleanly; a single unbroken wall of text does not.

AI & Answer Engines

AI Brand Mention

Your business being named in an AI answer, with or without a link. Worth tracking separately from traffic, because a mention can win the customer without ever producing a click.

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