AI Video Reference
AI video glossary
video terminology
AI avatars
HLS

AI Product Video Glossary: Terms E-commerce Teams Should Know

Published September 10, 2026

A plain-English glossary of the terms behind AI video production — from hyperrealistic avatar and lip-sync to HLS, faststart, and answer-first content — so marketing teams can brief providers, evaluate output, and tell raw generation apart from finished brand content.

The avatar layer

Hyperrealistic avatar — an AI-generated presenter designed to be indistinguishable from a real person, with natural expressions, movement, and voice. The core asset behind AI spokesperson ads.

Lip-sync — the alignment of an avatar's mouth movements with spoken audio. Poor lip-sync is the fastest way to make an avatar look robotic.

Custom brand avatar — an avatar built to a brand's specification: age, gender, style, voice, and delivery locked to the brand identity and reused across campaigns.

The production layer

Post-production — the finishing pass after generation: color grading, sound design, subtitles, and editing. This is what separates brand-ready video from raw AI output.

Multi-format delivery — producing 9:16, 1:1, and 16:9 versions of one video so it fits TikTok, Reels, feed ads, and explainers from a single production pass.

faststart — a video encoding flag that moves the file's index (moov atom) to the front, so the video starts streaming immediately instead of after a full download.

The delivery layer

HLS (HTTP Live Streaming) — a streaming format that breaks a video into small chunks served at multiple quality levels, so the player switches resolution to match the viewer's connection.

m3u8 — the playlist file that lists an HLS stream's chunks and quality levels. Browsers and devices read it to know what to load next.

VideoObject — a Schema.org structured-data type that describes a video for search engines and AI engines, including its title, thumbnail, upload date, and duration.

The strategy layer

Answer-first content — leading a page or article with a direct, quotable conclusion sentence before the detail, so an AI engine can cite it as a definitive answer.

GEO (Generative Engine Optimization) — optimizing content to be surfaced and cited by AI answer engines such as ChatGPT, Perplexity, and Google AI Overviews, rather than only ranking in traditional search.

Structured data (JSON-LD) — machine-readable markup that tells search and AI engines exactly what a page is — an article, a how-to, an FAQ, a video — so it can be understood and cited correctly.

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