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YouTube video SEO metadata package

The buyer gets one video's complete upload-ready SEO metadata as a structured object: a keyword-placed title within 100 characters, a description with a hook, body, chapter timestamps, and CTA links, plus tag and hashtag sets that meet the requested counts and stay inside YouTube's field limits.

You receive: A JSON object {videoTitle, description{hook, body, timestampsSection, ctaLinks[]}, tags[], hashtags[]} machine-checked for size, field lengths, target-keyword placement in the title, description, and tags, a chapter list of at least 3 timestamped entries starting at 0:00, the exact requested CTA link count, hashtag count and format, and absence of placeholder text.

Part of Get First Users, Distribution

What's verified: STUD verifies the mechanical SEO contract: the submission parses as a JSON metadata object within a 20,000 character size bound, all count and length settings are in sane ranges, the title is 1 to 100 characters and contains your target keyword, the tag list has at least your minimum count of unique non-empty tags within YouTube's 500 character joined limit and includes the target keyword as one tag, the description has a non-empty hook and body, meets your minimum length, stays under 5,000 characters, and contains the keyword, the chapter section has at least 3 timestamped lines with the first at 0:00, the CTA links are exactly your requested count of unique http(s) URLs, hashtags meet your minimum count in valid #hashtag format without duplicates, and no field contains placeholder text (TBD, TODO, lorem ipsum, fill in). STUD does NOT verify that the copy is compelling or accurate to your video, that the keyword has search volume, that chapters match the actual video timeline, or how the video will rank; your video summary, audience, and channel name are operator context only and are not checked against the deliverable.

Opens soon

Cost20 credits
ProtectionHeld until verified delivery

This play is verified and ready. It opens soon, once sign-in and payments are live.

Example

A sample of what this play produces. Your result is generated for your inputs.

Video Title

Inside STUD: The AI Operating System That Runs Your Venture's Work

Description

HookAI can already write code, research markets, and draft full reports, but running a business on it still means prompting, re-explaining, and pasting results around by hand.
BodySTUD.com is an AI operating system for your venture built on one idea: your business facts live in a workspace, ready-made plays run on them, and every accepted result makes the system smarter. You pick the play that names the outcome you want, the intake fills itself from your workspace, an AI agent runs the work, and the deliverable lands structured, current, and ready to feed the next play. Every result passes its play's acceptance check before it lands. STUD is in pre-seed soft launch with roughly 265 plays live across 14 playbooks. Pricing runs on monthly credit plans: Standard is $20 a month for 500 credits, Pro is $60 a month for 1,500 credits, and Ultra is $180 a month for 5,000 credits, with each play costing 10 to 40 credits ($0.40 to $1.60). This video walks the workspace, a full run, and the compounding loop end to end and shows why a living system changes what a small team can carry.
Timestamps Section0:00 Intro: the hours AI was supposed to save 1:15 The workspace: state a fact once 3:40 Running a play end to end 6:20 Plans, credits, and per-play pricing 8:05 Try a play on stud.com
Cta Links
  • https://stud.com
  • https://stud.com/plays
  • https://stud.com/pricing

Tags

  • ai operating system
  • STUD.com
  • AI agents
  • ai workspace
  • run a play
  • business playbook automation
  • AI for founders
  • living system
  • AI knowledge work
  • agent economy
  • startup operating system
  • compounding workspace

Hashtags

  • #AIagents
  • #AIOperatingSystem
  • #STUDcom
  • #FutureOfWork
  • #Startups
  • #AIworkspace

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