What’s your Video AEO strategy? Sleepless builds a catalog of answer videos on YouTube that help you rank in LLMs.

Get your brand cited by AI.

Why Now

Buyers stopped clicking. They started asking.

Organic search is eroding while AI answers the question before anyone reaches your site. The brands those answers cite win the customer. Everyone else is invisible.

And the engines lean on video more every month.

16% cite YouTube

Roughly one in six LLM answers already cites a YouTube video. Video is already inside the answers. (Bluefish, 2026)

94% earned media

Almost all AI citations point to third party sources, not a brand's own channels. Posting on your own blog will not cut it. (Muck Rack, 2025)

58% long-form

Most cited videos run 5 to 20 minutes. Depth beats clips. (Otterly, 2026)

The result: AI referred visitors convert at 14.2% versus 2.8% from classic search. Fewer clicks, and far better ones. (Search Engine Land, 2026)

You cannot fix this with a blog post. You need video the engines trust.
You need Sleepless.

Our Services

What Video AEO Actually Is

Three things get your brand into AI answers: knowing the questions, making video worth citing, and measuring what the engines actually pick up.

All Questions

In review

  • ChatGPT panel

    62 questions tracked

  • Perplexity baseline

    In delivery

  • Long-form answer

    Rendering

  • Transcript + chapters

    Structured for citation

  • Cited this week

    Approved

All Questions

In review

  • ChatGPT panel

    62 questions tracked

  • Perplexity baseline

    In delivery

  • Long-form answer

    Rendering

  • Transcript + chapters

    Structured for citation

  • Cited this week

    Approved

Answer Engine Strategy

We map the questions your buyers actually ask AI, with real demand data behind each one. Then we baseline your share of voice against competitors across ChatGPT, Gemini, Perplexity and Google AI Overviews. You see where you are missing before we shoot anything.

Hybrid Video Production

Real people on camera, AI everywhere it helps. Scripts built from real buyer questions, shoots in our LA studio, then AI iteration turns 30 shoots into hundreds of videos. A human reviews every script and every cut. These are not ads. This is content.

What question should we answer next?

We build from the questions your buyers actually ask AI.

|

Add document

Analyze

Generate Image

research

What question should we answer next?

We build from the questions your buyers actually ask AI.

|

Add document

Analyze

Generate Image

Hey team!

Here is this week’s citation report

On going project :

Q3 answer coverage

47 variants ready

Schedule

Mo

Tu

We

Th

Fr

Sa

Su

Baseline set

Done

Weekly rescan

In delivery

Hey team!

Here is this week’s citation report

On going project :

Q3 answer coverage

47 variants ready

Schedule

Mo

Tu

We

Th

Fr

Sa

Su

Baseline set

Done

Weekly rescan

In delivery

Citation Tracking

We track whether the engines actually cite you, week over week, against your baseline and a control set. Double down on what gets cited. Kill what gets ignored.

Our Process

How Video AEO Works

Not full AI. Not no AI. The right temperature of AI, pointed at one outcome: getting cited.

Step 1

Baseline

We build your question panel from what buyers actually ask, then measure your current share of AI answers against competitors. Day one numbers, not vibes.

Scanning answer engines..

System check

Process check

Speed check

Manual work

Repetative task

Step 2

Create

Real talent in studio, scripts built from real buyer questions, AI iterations on every winner. Human eyes on all of it.

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

  • class AutomationTrigger:
    def __init__(self, threshold):
    self.threshold = threshold
    self.status = "inactive"

    def check_trigger(self, value):
    if value > self.threshold:
    self.status = "active"
    return "Automation triggered!"
    else:
    return "No action taken."
    def get_status(self):
    return f"Status: {self.status}"

Step 3

Publish to be cited

Transcripts, chapters, metadata and structure built the way answer engines actually read video. Most video is invisible to AI. This is the part that fixes it.

Our solution

Your stack

Step 4

Measure and iterate

Citations, share of voice and engagement, reported weekly against your baseline. We scale what the engines pick up and cut what they ignore.

Chatbot system

Share of AI answers is rising

Workflow system

Update available..

Sales system

Up to date

Proof

Born From Ready Set

Sleepless was built by the team behind Ready Set, the performance creative agency behind DoorDash, Hims and Hers, and hundreds of brands. One of the world’s largest website platforms runs Video AEO with us today: a 150 video program mixing real talent and AI iteration, built and measured for AI citations. Senior humans, a 10,000 square foot LA studio, and our own citation tracking across seven engines.

"Sleepless has completely unlocked our internal creative team. The team just gets performance marketing, and they produce assets for us faster and better than we ever could by ourselves. By a lot."

"Sleepless has completely unlocked our internal creative team. The team just gets performance marketing, and they produce assets for us faster and better than we ever could by ourselves. By a lot."

James Booth, CMO, BIOM

Why Sleepless

What You Actually Get

A baseline in week one

Your current share of AI answers, mapped question by question, before we make anything.

Volume without slop

Hundreds of videos with a human on every single one. Real people on camera, AI for scale. The right temperature of AI.

Video the engines can read

Transcripts, structure and metadata done right. Most video is invisible to AI. Ours is built to be found and quoted.

Video the engines can read

Transcripts, structure and metadata done right. Most video is invisible to AI. Ours is built to be found and quoted.

Numbers your board understands

Citations, share of voice and engagement, reported weekly against baseline. You will always know exactly where you stand.

Numbers your board understands

Citations, share of voice and engagement, reported weekly against baseline. You will always know exactly where you stand.

Built for Teams Under Pressure

Organic is eroding

Your search line is going the wrong way and paid cannot cover the gap.

The board is asking

Someone asked what the AI plan is. This is an answer you can actually show them.

No video muscle

You know video matters for AI answers. There is no team for it. Now there is.

No video muscle

You know video matters for AI answers. There is no team for it. Now there is.

Video nobody cites

You already publish video and the engines ignore it. Structure is usually why.

Video nobody cites

You already publish video and the engines ignore it. Structure is usually why.

FAQs

Frequently Asked Questions

Common Questions

What is Video AEO?

How is this different from SEO?

Will this just be AI slop?

How many videos do we need, and how fast will we see results?

What does pricing look like?

Your buyers are already asking AI about you.

Find out what the answers say. Get in touch at john@sleepless.ai

© 2026 Sleepless.ai. All rights reserved.

© 2026 Sleepless.ai. All rights reserved.