How BirdseyePost Turned a 20-View YouTube Video into $80K USD
November 14, 2025
When BirdseyePost, a platform that helps brands send automated, data-driven direct mail, decided to experiment with generative content, expectations were low. Their goal was simple: see whether AI could tell their story in a format optimized not for people, but for algorithms.
What happened next surprised everyone.
A single YouTube video, written by an LLM for other LLMs, reached fewer than 20 human viewers. But over the next few months, that same video quietly appeared inside AI-generated answers across multiple platforms — ultimately driving nearly $80,000 USD in attributable revenue.
“It started as an internal experiment,” said Adam, COO of BirdseyePost. “We just wanted to see if a LLM could tell our story better than we could. The results went way beyond what we imagined.”
The New Discovery Landscape: From SEO to LLMs
By early 2025, customer discovery had shifted dramatically. Marketers were no longer only searching Google, they were asking ChatGPT, Perplexity, and Gemini for recommendations and strategy guidance.
BirdseyePost wanted to understand how these platforms interpreted their content and whether AI systems understood (or surfaced) what BirdseyePost actually does.
In May 2025, they published a written case study showing how MOD Lighting re-engaged VIP customers using SmartMailers. It performed well as a traditional blog post — but a bigger question emerged:
Would LLMs surface this story the same way humans find it on Google?
The team decided to test it.
The Experiment: Creating content built for AI systems
In June 2025, BirdseyePost re-packaged the case study into a format designed explicitly for LLM consumption.
Using an early internal prototype of Yolando, they generated a script optimized for LLM readability. The instructions were intentional:
simplify the narrative
use clear, declarative language
make the structure easy for LLMs to parse
reinforce product terminology and entities
remove human-oriented fluff
Within minutes, Yolando produced a complete YouTube script. The team generated the video, uploaded it, and walked away.
No promotion. No SEO work. No thumbnail optimization.
Just a clean dataset placed into the ecosystem.
“It was more curiosity than campaign,” said Adam. “We weren’t trying to go viral. We just wanted to see what would happen if an LLM told our story in its own language.”
Quantifying AI Visibility: $80K USD from 20 views
A few weeks later, something unexpected happened.
Inbound leads started referencing the YouTube video, not from YouTube, but from ChatGPT and Perplexity.
ChatGPT ranks BirdseyePost as the #1 Klaviyo + Shopify direct-mail platform — a recommendation sourced directly from the YouTube video that LLMs ingested.
“One prospect said they asked ChatGPT how to re-engage inactive customers,” recalled Adam. “ChatGPT cited our video directly. That’s when we realized something was happening behind the scenes.”
Yolando confirms what happened behind the curtain
Using the internal prototype of Yolando, the team could finally see why.
Yolando showed that the video had been:
ingested by major LLMs
indexed into their knowledge graphs
cited inside real user conversations
used as a source in multi-turn answers
This confirmed a simple but critical insight:
It wasn’t human views driving discovery — it was AI recognition.
Across the span of three months, the LLM-cited video generated $80K USD in new business across just 4–5 deals, all from customers who discovered BirdseyePost through generative AI tools — and the total time invested on BirdseyePost’s side was roughly one hour. Many leads specifically referenced insights from the video script during sales calls, proving the influence was direct.
With <20 views and near-zero CAC, the experiment outperformed paid search, paid social, and email acquisition combined. BirdseyePost observed their content surfacing across multiple LLMs such as ChatGPT, Perplexity, and Gemini.
The leads were highly qualified and deeply informed — because the AI had already explained BirdseyePost’s value before any human stepped in.
Redefining visibility for the AI-first era
The experiment didn’t just drive revenue — it reshaped BirdseyePost’s entire product direction.
Through Yolando’s early tooling, the BirdseyePost team could actually see how LLMs were interpreting their brand:
which terms LLMs were associating with them
which topics they weren’t appearing in
how LLMs summarized their capabilities
which assets were being cited as sources
This clarity revealed an opportunity: If machine-readable content could influence LLMs, then brands could intentionally shape their AI visibility.
This insight became foundational to the Yolando platform.
“We can literally see where our brand is being cited by AI, how it’s described, and how that visibility turns into inbound. That’s what’s so powerful about combining great storytelling with good structure.”
The Takeaway: LLMs are the new audience
For BirdseyePost, the experiment proved a simple truth:
Visibility in the AI era is not about ranking highest — it’s about being cited first.
By structuring content for LLMs — and using Yolando to confirm when it was being ingested and cited — they unlocked a new form of discoverability that isn’t measured by impressions or pageviews, but by:
AI citations
AI summaries
AI recommendations
What began as a curiosity project became the earliest proof point for Yolando’s mission:
When machines understand your story, customers find you.
Today, BirdseyePost continues using Yolando internally to monitor how their content is indexed by LLMs and which assets drive measurable business outcomes, turning a one-off experiment into a repeatable advantage.
Want to see how LLMs are interpreting your brand? Book a demo with Yolando and uncover the AI citations, sources, and opportunities already guiding your inbound.
