Your videos can be the answer, even with a small channel.
AI engines, especially Google’s and Perplexity, cite long-form YouTube videos and often link to a specific chapter. In the data, views and subscribers barely predict which videos get cited. Structure does. We restructure your library and script new videos to be quoted.
- Investment
- $690
- per month
- Timeline
- First citations often within 4 to 8 weeks
The problem
Most channels are optimized for the YouTube algorithm, not for AI engines. Videos without chapters, clear descriptions or answer-first openings are hard for engines to cite, however good they are.
Who it is for
- B2B and expert brands already publishing long-form video
- Founders and consultants who explain their field on camera
- Companies with a video library that gets little search traffic
What you get
Library audit
Which videos AI engines already cite, and which could be with small changes.
Chapter and timestamp rewrite
Chapters named after the questions buyers ask, so engines can link to the right moment.
Descriptions and transcripts
Detailed descriptions and clean captions so engines can read what the video says.
Two answer-first scripts a month
Outlines for new videos aimed at prompts where you want to be cited.
Video schema on your site
Embed pages with VideoObject markup and key moments.
Citation tracking
Monthly report of which videos and chapters get cited, by engine.
How it runs
- 1
Audit
Library and prompt review in week one.
- 2
Retrofit
Top 20 videos restructured first.
- 3
Script
New answer-first videos planned with you each month.
- 4
Track
Citations by video, chapter and engine.
What we report on
- Videos cited by AI engines
- Chapter-level citations
- AI referral views
- Prompts where video is cited
Common questions
No. Citation studies find views and subscriber counts barely correlate with being cited.
Ready to talk about YouTube for AI Citations?
Get a free AI Answer Snapshot: five of your buyer prompts, tested across six engines, with the competitors named instead of you.