Aaron Wuthrich uploaded the same video to Instagram and YouTube. Instagram delivered 700 views. YouTube delivered 180,000 views. That’s not a marginal difference. That’s a 250x gap. The same content. The same message. Two completely different outcomes. This data point reveals something most small businesses don’t realize: where you post matters as much as what you post. And when you understand why, you unlock a strategy that reaches far beyond just your immediate followers. Discover why Aaron’s multi-platform approach is reshaping how service businesses think about content distribution.
The 700 vs. 180,000 View Lesson: Platform Matters
Before diving into why this gap exists, let’s sit with the number. “One video on Instagram is gonna be I think, like 700 views, which is like great,” Aaron explains. Seven hundred views is solid engagement on Instagram. It suggests the algorithm is sharing it. His audience is showing up. But then: “That same video on YouTube is 180,000 views.”
Why does YouTube crush Instagram by that magnitude? The answer is architecture. YouTube was designed as a video discovery engine. People go to YouTube specifically to find and watch videos. They spend hours there. The algorithm learns what people want to watch and serves recommendations. Instagram is designed differently. It’s a social network where people follow friends and creators. The feed is curated based on relationships, not pure discovery.
This isn’t a coincidence. YouTube is built to maximize view count. Instagram is built to maximize connection to followers. For reach, YouTube wins by orders of magnitude. Aaron understands this: “YouTube is also, obviously we all know that’s owned by the Big G word. If you’re getting Google to like see that you’re posting on their platform, they’re gonna be happy with you.”
Aaron's framing is casual but the underlying reality is structural, and it goes deeper than just 'Google liking you.'
One Company Owns YouTube, Search, and Gemini
When you post on YouTube, you're publishing inside Google's ecosystem. Google owns YouTube. Google owns the search engine most people use to find businesses. And Google owns Gemini, the AI assistant pulling answers from across the web. Uploading to YouTube isn't just about YouTube views. It's about where your content lives in a system Google controls end to end.
Aaron put it simply: "It all ties in. It's the world that we live in." This isn't paranoia. It's structural reality. When the same company owns the video platform, the search engine, and the AI, that company has every commercial incentive to surface its own content first. Multiple independent analyses, including a 2020 Wall Street Journal investigation and follow-up studies by Perficient, found that videos uploaded to YouTube tend to rank higher in Google search than the same or similar videos hosted elsewhere, sometimes even when the competitor versions had more engagement. Google denies any preferential treatment. The pattern still shows up consistently in third-party testing, and the question sits at the heart of an active antitrust case brought by Rumble.
The Gemini layer makes this even more interesting. Gemini has native YouTube integration, which means it can analyze YouTube videos directly by URL in ways it can't easily do with content sitting on Vimeo, Facebook, or your own website. When Gemini pulls together an answer about your business or your industry, YouTube content has the inside lane. It's more accessible, more indexable, and more likely to inform what Gemini says about you.
Aaron's 180,000 YouTube views aren't just organic reach. They're content sitting inside the system most likely to surface that content to future searchers, future viewers, and future AI users.
Beyond Google: AI Assistants Are the Next Distribution Channel
There's another layer to this strategy that matters increasingly in 2026 and beyond. As I told Aaron: "Even looking down the road at these LLMs, the AI, you know, ChatGPTs and stuff like that, like they're also combing this public information and indexing it and learning about companies and learning who has a vibrant online presence and who doesn't."
When someone uses an AI assistant to research a business or service, the answer is shaped by what content the AI can actually access. And different AI systems have access to different parts of the web. Gemini has direct, native access to YouTube content because Google owns both products. ChatGPT and Claude lean more heavily on the open web, pulling in indexed blog posts, articles, transcripts, and any social content that lives on the public internet. None of these systems sees the web identically. They each have their own training data, their own retrieval rules, and their own blind spots.
What this means in practice: companies with content distributed across multiple surfaces are visible to multiple AI systems. A YouTube video makes you visible to Gemini and to Google search. A blog post on your own site or a LinkedIn article makes you visible to ChatGPT and Claude through their web retrieval. Companies with content in only one place are visible in only one place, no matter how good that content is.
I added: "The more content you get out there, the Googles and the ChatGPTs and the Claudes and all these, they can gobble up that content and eventually point people your way." This isn't about gaming algorithms. It's about being discoverable to every system that now stands between a customer and a buying decision. Search engines. Recommendation algorithms. AI assistants. When someone asks Gemini "Where should I find a moving company in Calgary?" the answer is informed by YouTube content. When someone asks ChatGPT the same question, the answer is informed by what's written about you on the open web. Two different answers, drawn from two different content trails. You need both.
Aaron's 180,000 YouTube views feed the Google and Gemini answer. His Instagram, blog, and other public posts feed what other AI systems read. Together, they make him visible across an ecosystem that didn't exist five years ago.
The Real Insight: Where Big Ad Spend Goes Wrong
Aaron shared a story that crystallizes why platform choice matters. “A person that does well, used to do some of our wraps, he was kind of telling me the ad spend for his, he was on TV ads. Could just imagine the money. If you were to take a fraction of that and put it into whatever social media, I think that is gonna be the game changer.”
TV ads disappear the moment they air. They’re gone. You can’t index them. You can’t reuse them. You can’t build on them. But content posted to YouTube stays forever. It gets recommended to new viewers every month. It’s searchable. It’s indexed by Google. It’s learned by AI systems. A single video on YouTube could be generating views, discovery, and conversions for years.
This is why YouTube’s 180,000 views matter more than the 700 on Instagram. It’s not just reach in the moment. It’s compounding discoverability over time.
The Multi-Platform Strategy That Actually Works
This doesn’t mean abandon Instagram. Aaron posts to both. It means understanding where to prioritize effort. Post everywhere, but understand that some platforms amplify your reach exponentially while others serve your immediate followers. YouTube and Google Search are the compound interest plays. Instagram is the direct connection play. Email is the owned audience play. When you create content once and distribute it thoughtfully across all three, you’re maximizing reach to algorithms, followers, and search engines simultaneously.
Aaron’s 700 views on Instagram probably converted customers directly because his followers are warm audiences. His 180,000 YouTube views are probably converting customers he’ll never know reached him through YouTube recommendations and Google search. Both matter. Both feed the business. But the YouTube views fuel long-term, compounding growth that Instagram alone can’t achieve. Learn more about Aaron’s approach to cross-platform content distribution and why strategic platform choice drives business growth.
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