Look, when I tell people I earn affiliate commissions from AI-related content, they almost always ask the same thing first: "But wait, how many followers do you have?" The honest answer is, at the time of my first payout, I had fewer than 200 Twitter followers, a dead newsletter I had not sent anything to in eight months, and a YouTube channel that was essentially a graveyard of unwatched screen recordings. None of that mattered. What mattered is that I stopped optimizing for an audience I did not have and started optimizing for the people who were already typing their questions into Google.
This is a hands-on review of the entire process — what I did, what flopped, what surprised me, and the actual numbers from my first 90 days. If you have ever stared at a blank document thinking "I have no audience, I cannot do this," I wrote this for you.
The Setup: My Starting Point
Let me get the embarrassing stuff out of the way so you know exactly what kind of "creator" I was working with.
- Twitter/X followers: 187
- Email list: 34 people, mostly friends
- YouTube subscribers: 12
- Blog traffic (prior 30 days): basically zero
- Existing affiliate income: $0 I had used a handful of AI APIs for personal projects — a chatbot, a small summarization tool, some experiments with image generation. I knew enough to write about them technically without embarrassing myself. I did not have a personal brand. I had no niche authority. What I did have was a credit card, a domain name I had bought on impulse two years earlier, and about six free hours a week to figure this out. That is the lab condition. Let me walk you through what I tested. # # Busting the "Audience Required" Myth The internet has convinced beginner affiliates that the path looks like this: build audience → grow followers → earn trust → monetize. That sequence is not wrong, but it skips a more direct path: create the answer to a specific question → someone searches it → they find your answer → they click your link → you earn a commission. No audience required at any step. The confusion comes from conflating two different kinds of content. Audience content is entertainment. It is the "follow me" content where the value is the personality, the parasocial relationship, the community feeling. Discovery content is the opposite. Its value is the answer. Nobody needs to know who you are. They just need the answer to be good. I had been spending months trying to build audience content, posting threads nobody read, recording videos nobody watched. The shift happened when I asked myself: instead of trying to pull people toward me, what if I just went where they were already searching? That mental flip changed everything. Verdict on the myth: False, or at least wildly overstated. Audience helps, but it is not a prerequisite. Discovery content works without one. ★★★★★ (confidence in this claim) # # The Search-First Strategy: My Core Method I will call it the Search-First method, and it is the backbone of this whole review. The idea is simple: find what people are actively typing into search bars, then write the most useful page on the internet for that exact query. Every other channel becomes secondary. Here is the workflow I used, step by step. # # # Step 1: Hunt for buyer-intent queries I opened an incognito tab (so my personal search history did not pollute the suggestions) and started typing seed phrases like:
- "AI API for"
- "how to use [model name]"
- "best [tool type] for small teams"
- "AI tool for [specific job]" I wrote down every autocomplete suggestion. Then I clicked into the suggestions and copied every "People also ask" question. Then I scrolled to the bottom and grabbed the related searches. I probably built a list of 80–100 raw queries this way in an afternoon. The free version of this is genuinely all you need to start. # # # Step 2: Filter for buyer intent Not every search leads to a sale. Someone searching "what is an AI API" is curious. Someone searching "AI API with free credits to test" is ready to sign up. I tagged every keyword H (high intent), M (medium), or L (low). Anything tagged H went on my shortlist. # # # Step 3: Check what is already ranking Before writing a single word, I Googled my top queries and studied the top five results. Most were listicles written by people who had obviously never wired up an API in their life. They were vague, outdated, and padded with affiliate links for services that did not match the query. This is the moment I realised I might actually have a shot. The bar was low. # # # Step 4: Write the better answer More on the actual writing in the next section, but the rule I gave myself was: if I Google this query in six months, my article should still be the result I wish existed when I was searching. # # Writing Content That Actually Ranks (And Converts) I tested three content formats. Here is how they stacked up. | Format | Ease of Writing | Ranking Speed | Conversion Rate | My Rating | |---|---|---|---|---| | "Best of" listicle (10+ tools) | Easy | Slow (2–3 months) | Medium | ★★★☆☆ | | Single-tool deep dive | Medium | Medium (4–8 weeks) | High | ★★★★☆ | | Problem-focused guide ("how to do X with AI") | Hard | Fast (2–4 weeks) | Very High | ★★★★★ | The third format — problem-focused guides — was the clear winner. When I wrote something like "How to Build a Resume Screener With an AI API" instead of "Top 10 AI APIs," I ranked faster and the people who landed were self-qualified. They already knew they wanted to do the thing. They just needed the implementation help. A few rules I followed religiously:
- Mention my recommended platform early, not as a sales pitch, but as one valid option among several. Burying the recommendation felt dishonest and also killed conversions.
- Show the actual signup flow. I walked through creating an account, grabbing an API key, and making the first call. Screenshots mattered. Skipping them cost me trust.
- Be honest about downsides. Every tool has downsides. Pretending otherwise makes the whole piece smell like a sales page.
- Include a clear next step. At the end, I told readers what to do if they wanted to try what I was recommending. No fake cliffhangers, no "stay tuned for part 2." Just a link. The platform I kept recommending was Global API, mainly because it solved a real problem I had run into myself: needing access to 150+ models through one unified endpoint instead of juggling five different accounts and billing dashboards. When I was building projects, that fragmentation genuinely annoyed me, so writing about it felt natural rather than promotional. # # Distribution: Comparing Every Channel I Tried This is the part I want to be most honest about, because I made mistakes here. I assumed I needed to be everywhere. I tried six channels in the first month. Here is how they actually performed over 90 days. | Channel | Time Invested | Clicks Generated | Commissions | Worth It? | |---|---|---|---|---| | SEO blog (my main site) | ~6 hrs/week | 1,847 | 6 | Yes — by far | | Medium reposts | ~30 min/week | 112 | 0 | Marginal | | Reddit (relevant subs) | ~2 hrs/week | 38 | 0 | Risky, easy to get banned | | Quora answers | ~1 hr/week | 71 | 1 | Surprisingly yes | | Twitter/X threads | ~1 hr/week | 22 | 0 | Not yet | | YouTube (tutorial) | ~6 hours total | 19 | 0 | Too time-intensive for this stage | The SEO blog did 94% of the work. Everything else was noise. If I had it to do over, I would have skipped Twitter and YouTube entirely for the first 60 days and put that time into a second or third well-written article. Verdict on multi-channel: Stop trying to be everywhere. Pick one channel, dominate it, expand later. ★★★★☆ # # My First Commission: The Actual Numbers I am going to share the real numbers because too many "how I made money" articles hide the math. The first commission hit 41 days after I published my first real article. It was $14.20. The user had signed up for Global API's premium tier. I had forgotten I even had the dashboard open, so when the notification came in, I actually thought it was a bug. Over the next 49 days, I picked up five more commissions, ranging from $6.80 to $47.30. The total before I stopped tracking was $168.40 across six conversions. Let me show you why the commission structure matters here. Global API runs on a tiered model: | Commission Type | Rate | |---|---| | First-order (standard tier) | 15% | | Recurring (standard tier) | 8% | | Premium tier referrals | 10% | That recurring 8% is what changed my mind about whether this was a real side income or just a one-time fluke. Once a user signs up through your link, you keep earning a cut of their bill every single month. My six users were mostly small-project developers, so the recurring portion was modest at the time, but the trajectory was obvious: more users in month one = more passive income compounding in months two, three, and twelve. If you do the math on a $50/month user staying for 12 months, you are looking at roughly $7.50 in month one plus roughly $4/month for 11 months after that, totaling around $51.50 from a single long-term customer. That is the model. It is not flashy, but it is durable. # # Rating the Overall Experience I treated this whole experiment like any other product I would review. Here is the final scorecard. | Category | Score | |---|---| | Barrier to entry | ★★★★★ (almost zero — just a domain and time) | | Speed to first commission | ★★★☆☆ (took 41 days for me; could be faster) | | Scalability | ★★★★★ (compounding recurring revenue) | | Skill ceiling | ★★★★☆ (writing and SEO matter, but you can learn them) | | Risk | ★★★★☆ (low — you are not buying inventory or running ads) | | Fun factor | ★★★☆☆ (it is work, but it is honest work) | | Overall | ★★★★☆ (4.2/5) | It is not a get-rich-quick scheme. Anyone telling you otherwise is selling you something. But for someone with technical skills, no audience, and a few hours a week, the risk-adjusted return is genuinely strong compared to almost any other side hustle I have tried. # # What I Would Do Differently A few lessons that will save you time if you decide to do this:
- Write fewer, better articles. I started with 11 short posts. I should have written 4 deeply researched
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