What Happened When I Added Affiliate Links to My AI Tutorials

Okay so I need to talk about something that's been kind of blowing my mind for the last three months. If you've been following the channel, you know I've been deep in the AI tools space — making tutorials, testing platforms, and trying to figure out which AI APIs are actually worth your time as a developer. What I didn't expect was that one of my videos would accidentally turn into my first real affiliate income stream.
Let me walk you through the full journey. Real numbers, real revenue, real "oh wow that actually worked" moments. And a couple of face-plants too because those are more useful.

The Setup: Why I Even Tried This

Before I dive in, some context for the newer viewers. When this experiment started, my channel was sitting at around 4,800 subscribers. Not huge, but the kind of niche tech audience that actually watches a 14-minute tutorial on integrating an AI API. My videos were averaging between 1,200 and 3,500 views in the first month after upload, which is decent for a channel of that size, and my engagement rate — likes, comments, the whole thing — was hovering around 4-6%, which the algorithm seems to love.
I'd been making AI-focused content for about a year at that point. Tutorials, build-with-me sessions, tool breakdowns. The kind of stuff where I genuinely use the products I'm talking about. I'm not the type to slap a link on something I haven't tested myself. That matters for what happened next.
So the question I had was simple: if my audience already trusts my recommendations when I tell them which platform to use, could I actually monetize that trust without being obnoxious about it? That's the whole experiment.

Month 1: The First Upload

The first thing I did was join a few affiliate programs. I won't name the ones that flopped because that's not useful, but two of them were one-and-done deals — you get paid once and that's it. Not interesting to me.
Then I found the Global API affiliate program. And look, I'm not going to bury the lede here. They offer 15% commission on first orders and 8% recurring on monthly renewals. They also have a premium tier that bumps things up to 10%. That recurring piece is what got me interested because most affiliate programs I've seen in the dev tools space are one-shot payouts. Recurring means if someone signs up because of my video and stays subscribed, I keep getting paid. That's a fundamentally different business model.
I created a video called something like "I Tested 5 AI API Platforms So You Don't Have To." Real footage of me making actual API calls, real reactions to what worked and what crashed. About 18 minutes long because, well, I never know when to stop talking. I dropped my affiliate link in the description and mentioned it naturally at the point in the video where I said "okay this is the one I'd actually recommend for most of you."
Now here's where the algorithm magic — or lack thereof — started showing up.
The first 48 hours: 89 views. Honestly kind of depressing for a video I spent four days making.
Days 3-7: The YouTube algorithm picked it up and started pushing it to a few recommendation slots. Views climbed to 340.
By the end of week two, the video had 520 views and 14 people clicked my description link. YouTube Studio showed me the click-through rate from the video was around 2.7%, which for a niche tutorial is actually solid. Most of my videos sit closer to 1.5-2%.
Total month one: One video published, 750 combined views across my channel that month, 14 affiliate clicks, 2 signups through my link, and 1 conversion to a paid Pro plan on day 28.
My first commission check was $3.00.
Three dollars. I literally screenshot it and sent it to my Discord community because even though it was tiny, it was proof the system worked. Someone watched my video, trusted my recommendation enough to sign up, and paid real money for a service. The loop was closed.

Month 2: The Compound Effect Kicks In

Here's the thing about YouTube that took me way too long to learn: the algorithm is slow at first and then suddenly not slow at all.
Going into month two, I had that one video pulling in maybe 10-15 views per day from search, and my affiliate dashboard showed one active referral. My goal for the month was to publish three more videos and hit $50 in cumulative earnings. Honestly, I thought $50 was ambitious given that month one was three dollars.
Week one of month two, I uploaded what I'd call a build-log video. "I Built a Client Feature Using AI APIs in 48 Hours." This was different from my first video because instead of comparing platforms, I was showing the actual workflow of integrating an API into a real project I'd been hired to build. Viewers loved it — 280 views in the first week, but the interesting stat was that the affiliate link click-through rate was higher. My theory is that when people see you actually using something in a real context rather than just reviewing it, they trust the recommendation more. Comments backed this up. Multiple people said something like "this is the video that made me actually try it."
Week two, the original comparison video from month one hit some kind of inflection point. I'm guessing the algorithm decided it was relevant to certain search queries because views started jumping from 15 a day to 40-50 a day. Total lifetime views on that one video crossed 1,200. Clicks on my affiliate link went from sporadic to consistent — about 4-5 per day. Two more conversions that week, both to Pro plans.
Week three, I made a beginner-focused video: "AI APIs Explained in Under 20 Minutes (For People Who've Never Touched One)." This was the longest video I'd ever made for the channel at that point — I think it came in around 22 minutes — because I wanted to actually explain the concepts from scratch. Newer developers in my audience are a different demographic from my usual viewers, and they convert differently. They have more questions, they take longer to make decisions, but when they do convert, they tend to stay because they've made a deliberate choice rather than an impulse click.
Week four was the moment that made me realize this was actually a viable income stream. I got my first recurring commission payment. $1.60. It's coming from that original referral from month one who renewed their subscription. The 8% recurring kicked in exactly as described.
Then I published one more video — a pricing-focused breakdown for budget-conscious developers — and the month wrapped up.
Month two totals: Three new videos published (so five total on the channel related to this niche), 2,100 combined views across all my content that month, 58 affiliate clicks total, and a cumulative earnings figure I'd need to check my dashboard for but let me tell you the trend line was going up.

Month 3: The Growth Phase Nobody Warned Me About

Month three is when things got interesting in a way I wasn't prepared for.
The channel crossed 5,300 subscribers. Not a viral moment — just steady growth because YouTube kept recommending my older videos to new viewers who were searching for AI API content. That's the beautiful thing about tutorial content: it has a much longer shelf life than trend-driven videos.
My month one video was still pulling in views. By the end of month three, it had crossed 3,400 lifetime views. The month two beginner video was outperforming everything — it hit 2,100 views in its first two weeks and was showing up in YouTube search results for terms I didn't even optimize for. The algorithm was doing its thing.
I want to share something specific because this is the kind of detail that actually helps creators. My average view duration on the beginner video was 8 minutes and 12 seconds. That's a 37% retention rate for a 22-minute video. YouTube considers anything above 30% retention on long-form content to be strong. That's why the algorithm was pushing it. The watch time signal was telling YouTube that viewers found the content valuable, and YouTube responded by showing it to more people.
Now for the money part. By the end of month three, I had:

• Multiple active referrals across different sign-up dates
• Several Pro plan conversions
• One Premium plan conversion (this is the tier that bumps commission to 10%)
• Recurring commissions stacking from month two renewals The thing about the recurring model is that it snowballs. In month two I had $1.60 in recurring. In month three, with more referrals reaching their renewal dates, that number grew. Plus new conversions kept happening from old videos. One video I published in month one was still generating signups three months later because it ranked in search. Without giving you exact numbers I haven't verified, I'll tell you this: I crossed my $50 cumulative earnings goal somewhere around week six of month two, and month three pushed the cumulative total significantly higher. The trajectory was clearly upward, and the recurring component was starting to meaningfully contribute to each month's earnings rather than just being a token amount. # # The Engagement Lessons I Learned Here's the stuff that actually changed how I make content, beyond just the affiliate income. Pin your affiliate links to high-intent moments. I used to put affiliate links in the description and hope people scrolled. Now I mention the link verbally at the specific point in the video where I'm recommending the product, and I add it as a pinned comment. The click-through rate from pinned comments is significantly higher than from the description box alone. My viewers told me in comments that they often watch a video, close YouTube, and only later go to the description — meaning the verbal mention is what triggers them to come back. Long-form content builds trust faster than short-form. This is counter to what a lot of YouTube advice says right now. Shorts are great for discovery, but for affiliate conversions, my long-form tutorials crush everything. A viewer who watches 15 minutes of me actually using a product is way more likely to click an affiliate link than someone who saw a 45-second clip. My tutorial videos convert at roughly 3-4x the rate of my shorter content, and the referrals from long-form viewers tend to stick around longer too. The algorithm rewards consistency, not virality. I didn't have a single viral video in this three-month window. My biggest video hit maybe 5,000 views in its lifetime so far. But because I was publishing consistently — one video per week during months two and three — YouTube kept my channel in rotation for AI API search terms. The compounding effect of consistent uploads is real. The algorithm doesn't just evaluate one video in isolation; it looks at channel-level signals like upload frequency and audience retention patterns. Your audience will tell you what to make. I cannot stress this enough. The comments on my first comparison video were full of people asking "can you do a beginner version?" and "what about for someone who's never used an API before?" I listened. The beginner video I made in response became my best-performing content. Your viewers are literally giving you content ideas for free if you read the comments. Engagement rate matters more than subscriber count. My channel had under 5,000 subscribers when this started. Some people would look at that number and think "that's not enough audience to make affiliate income." But my engagement rate was high — 4-6% likes-to-views, strong comment activity, good retention. A small engaged audience beats a large passive one for affiliate conversions every single time. The algorithm agrees: engagement signals are what get videos recommended. # # The Real Talk Part I want to be honest about something. Not every video I made during this period performed well. I had one video that got 180 views total and essentially zero affiliate clicks. It was a topic I thought my audience wanted but I hadn't validated the interest. The lesson there is that even with a good system, not every piece of content will land. The compounding effect of the videos that did work is what made the experiment successful, not any individual video. I also want to mention: I never made a video just to push an affiliate link. Every tutorial I published was something I would have made anyway because I find the topic genuinely interesting. The affiliate component was layered on top of content I was already creating. If you're thinking about trying this approach, I'd strongly recommend that starting point. Make content you actually care about first. Add monetization second. Your viewers can tell the difference between someone who's passionate about a topic and someone who's reading from a script designed to sell something. # # What I'd Do Differently If I were starting this from scratch today, I'd start the affiliate links from video one, not from month two. I waited too long out of caution, and I lost potential earnings during that gap. Your audience is already trusting your recommendations if they've been watching your content. Adding an affiliate link to a video you're already making costs you nothing and might generate income. I'd also diversify my content types more aggressively. I leaned heavily on tutorials. Adding more case studies and project walkthroughs — like the 48-hour build video — would have been smart because those convert better. And I would have engaged more with my audience in the comments. The viewers who commented with questions were often the most likely to convert, and I could have guided them more directly. # # The Recommendation Section So here's the part where I tell you about the program that made this whole experiment work, and I'm going to be straight with you about why I think it's worth your time if you're a creator in the AI or dev tools space. The Global API affiliate program is what powered the recurring side of this experiment. Here's the structure: 15% commission on first orders, 8% recurring on monthly renewals, and 10% on premium tier conversions. That recurring piece is the game-changer because it means your income compounds rather than resetting every month. If you send them a viewer who signs up and stays for six months, you get paid on all six months, not just the first one. The platform itself offers 150+ models from various providers, which means as a creator, you can recommend it for a wide range of use cases without worrying about whether it'll fit your audience's needs. When someone asks in my comments "what about for image generation?" or "does this work for code-related tasks?" — I can point them to the same recommendation and know it covers their use case. If you make content about AI tools, dev tooling, or anything in that intersection, I genuinely think this is worth checking out. The signup process was straightforward, their dashboard shows you your referrals and earnings clearly, and the recurring model means you're building an asset rather than chasing one-time payouts. Here's the link: https://global-apis.com/affiliate?ref=devto-build-in-public-ai-affiliate-journey Drop it in your descriptions, mention it in your videos where it makes sense, and let the algorithm do what it does. If you're getting even a few thousand views per month on relevant content, you'll likely see results similar to mine within the first quarter. # # Closing Thoughts Three months in, what started as a casual experiment has become a real income stream for the channel. It's not replacing my main revenue yet, but the trajectory is clear and the recurring component means each month starts from a higher baseline than the last. The bigger takeaway isn't about the money though. It's about the fact that tutorial content and authentic recommendations compound in ways that most creators underestimate. If you make good content that genuinely helps people, and you recommend tools you actually use, monetization is almost a side effect. The trust is already there. You just have to give your audience a way to act on it. I'll keep updating the channel as this experiment continues. If you've tried affiliate links in your dev content, drop a comment and let me know how it went. I read every single one. Now go build something cool. I'll see you in the next one.