There's a version of the content creation grind that a lot of people in this industry recognise. You're shooting for real estate agents one week, weddings the next, then construction, then buyers' agents, then something else entirely. Every client is different. Every brief is different. You're constantly context-switching and you're never quite sure who you're actually trying to serve.
Ansh Bose spent four years in that version. And then, at the start of 2025, he made a decision that changed how his business worked: he picked an industry and committed to it.
In episode three of Filmed to Convert, Ansh joined Phuong for a conversation that covered a lot more ground than just niching down. They talked about why production quality is no longer the deciding factor in content performance, how documentary-style video is outperforming polished brand content in certain industries, where AI fits and where it doesn't, and what Kevin Kelly's 1000 true fans theory means for a content business trying to grow strategically rather than just loudly.
"I sat down and I go, look, I want to specialise in something because I was feeling quite lost. What am I doing? What's my focus? I was just all over the place."
Ansh Bose, Content CreatorThe Decision to Niche: Healthcare and Why
Ansh's move into the healthcare industry wasn't random. He went back through his client history and asked a specific question: which projects had he actually loved doing? The answer kept pointing to healthcare. The people he met on those shoots were different. They were unfiltered, genuinely passionate about what they do, and completely comfortable being themselves on camera. For a content creator whose whole approach is built around authenticity, it was a natural fit.
But beyond personal preference, the strategic logic was clear. By picking one industry, Ansh could stop having a dozen different types of conversations and start having the same conversation repeatedly, getting better at it every time. His marketing became more focused. His portfolio became more coherent. His ability to demonstrate real understanding of a client's world, because he'd been in that world over and over, became a genuine differentiator.
His tagline captures it simply: Humanising Healthcare. People in the healthcare industry often know their craft deeply but struggle to communicate it in a way that connects with the people they want to reach. Ansh's job is to close that gap, putting the people behind the brand in front of the camera and letting their genuine expertise and personality do the work that no polished marketing copy ever could.
Why Documentary-Style Video Is Working
One of the more interesting threads in the episode was around video style, specifically why the documentary approach Ansh has adopted is connecting with audiences in a way that traditionally polished corporate video often doesn't.
His example was a video he produced for a healthcare client that works with people with disabilities. They mounted a camera on a car. The subjects were driving, dancing, singing to music. Nothing was scripted. The footage was slightly shaky. Unexpected things happened. And it generated over 80,000 views on Instagram with no paid spend behind it.
The reason it worked wasn't technical. It was because the people in it were completely themselves. There was no artifice, no performance, no corporate polish. And audiences, particularly in an era where AI-generated content is everywhere, are responding to that realness precisely because it's becoming rarer.
Ansh described it as a "happy medium" between the raw and the refined. There's still a structure. There's still intentionality in how moments are captured and assembled. But the documentary approach allows for the kind of unexpected human moments that a fully scripted, tightly directed production would never capture. And those moments are often what make the content land.
It's Not Quality vs. Quantity. It's Quality vs. Relevance.
One of the most useful reframes in the conversation was around the quality versus quantity debate that gets discussed constantly in content circles. Ansh pushed back on the framing. The question isn't really quality versus quantity. It's quality versus relevance, and relevance consistently wins.
He's seen this firsthand. A beautifully shot video can get 10,000 views and produce nothing in terms of enquiries or relationships. But a video that answers a specific question, captures a specific human moment, or speaks directly to a specific audience's experience can generate 400,000 views and meaningful business outcomes, because the audience feels genuinely seen by what they're watching.
This doesn't mean quality doesn't matter. Ansh is clear that he still cares deeply about the quality of his work and wouldn't compromise it for efficiency's sake. What he's shifting is where he applies the idea of quality. Is it in the camera work? The script? The research? The specificity of the audience being targeted? He argues that the last item on that list is now more important than the first.
"Quality, in terms of video quality, I feel like it is becoming a little less of a main priority. What separates the noise from the actual good stuff is who you're reaching out to and what's being said."
Ansh Bose, Content CreatorAI, Authenticity, and Where the Line Is
Like most honest conversations about content creation in 2025 and 2026, the episode inevitably got to AI. Ansh's position is nuanced and, frankly, more considered than the binary takes you tend to see online.
He's been hot and cold about it. Strongly against, then strongly for, and now landed somewhere more useful: AI is genuinely valuable behind the scenes and genuinely problematic in front of the camera. Use it for scripting, structure, and ideation. Don't use it to generate the content itself and present it as your own voice or expertise, because audiences are increasingly good at detecting the disconnect, and when they do, the trust that makes content work evaporates.
His clearest example was the 400,000-view client post. It had nothing to do with AI. It was a real person, sharing real expertise they'd built over years, delivered with their genuine personality. That's what the algorithm served to hundreds of thousands of people, because it was something that felt real in a sea of content that increasingly doesn't.
Where AI helps in a content workflow
Scripting and structure, generating dot points to speak from, research, editing assistance, and ideation. These are behind-the-scenes tasks that don't compromise the authenticity of what ends up on camera.
Where AI undermines content
Generating the actual content and presenting it as your own expertise, creating AI-avatar personalities, or scripting responses word-for-word in a way that replaces genuine human knowledge and voice. Audiences feel this, even when they can't articulate why.
1000 True Fans and Why Reach Is the Wrong Metric
Towards the end of the conversation, Ansh brought up Kevin Kelly's 1000 true fans theory, and it's worth unpacking because it reframes a lot of what content strategy is actually for.
Kelly's argument, published originally in 2008 and still deeply relevant, is that a creator doesn't need a massive audience to build a sustainable business. They need 1000 people who are deeply engaged, who trust them, who will buy what they create, and who will tell others. Applied to content strategy, it means the goal isn't maximum reach. It's maximum relevance to the right people.
This is where niching down and quality-over-quantity thinking converge. A healthcare content creator who speaks directly to the concerns, challenges, and values of people in the healthcare space will accumulate fewer casual followers but far more true fans than a generalist content creator who speaks to everyone and resonates deeply with no one. And those true fans are the ones who become clients, who refer other clients, and who sustain a business over time.
The implication for any business investing in content is clear: stop measuring success by raw numbers and start measuring it by the depth of connection with the specific people your business actually serves.
The Teleprompter Debate (A Good One)
The episode finished with a genuinely entertaining disagreement about teleprompters that's worth mentioning because it gets at something real about video production philosophy. Ansh started the conversation strongly against them, arguing that they make people robotic and kill the authentic human quality that makes video content work. Phuong pushed back, arguing that done well, a teleprompter can actually free a presenter to add personality rather than constraining them, pointing to TV hosts as evidence.
By the end, Ansh's position had shifted slightly: no teleprompter for clients unless they're media-trained, but he's starting to see the value in the format for people who know their material well enough to use it as a guide rather than a script. It's a small debate that reflects a bigger truth about video production: the tools matter less than the intention behind them. What matters is whether what ends up on screen feels like a real human being talking to another real human being.
What This Means for Your Content Strategy
The themes from Ansh's episode are consistent with what we see working for AM Visuals clients across industries. The businesses getting the strongest results from their content aren't necessarily the ones with the biggest budgets or the most sophisticated setups. They're the ones who know exactly who they're talking to, have something genuine to say, and are willing to let real people deliver it in a real way.
That's a simpler brief than most businesses think they need. And it's more powerful than most highly produced content that tries to cover everything and resonates with nobody.
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Book a Free 15-Min CallQuestions from this episode
Niching down clarifies everything from your marketing to your client conversations to the type of work you take on. When you try to serve every industry, you spread your expertise thin and struggle to demonstrate deep knowledge in any one area. A defined niche allows you to build genuine expertise, attract better-fit clients, and produce stronger results because you understand the specific audience and what they respond to.
Relevance consistently outperforms production quality in determining whether content performs. A video that addresses the exact question or emotion your audience has will outperform a beautifully shot video about something they don't care about. Production quality matters for brand credibility, but it's a secondary factor to whether the content is genuinely relevant and specific to the people watching it.
Documentary-style brand video captures real moments, real people, and real interactions in an unscripted or loosely structured way. Unlike traditional corporate brand videos, it embraces imperfection, unexpected moments, and genuine emotion. The result tends to feel more authentic and trustworthy to audiences, particularly in industries like healthcare where human connection is central to the brand's value.
AI is genuinely useful in the background of a video production workflow, particularly for scripting, structure, and ideation. Where it becomes problematic is when it replaces the authentic human presence that makes video content trustworthy. Audiences are increasingly good at identifying AI-generated or AI-scripted content, and the trust deficit that creates can undermine the entire purpose of the content.
Kevin Kelly's 1000 true fans theory suggests that a creator only needs 1000 deeply engaged fans to build a sustainable business. Applied to content strategy, it means the goal isn't maximum views but maximum relevance to the right audience. A smaller, highly engaged audience that trusts you, buys from you, and refers others is far more valuable than a large audience that passively scrolls past your content.