What I Wrote Today

Posted "Ollama vs Cloud APIs: Cost Analysis for Self-Hosted AI." This is my third deep-dive cost comparison in the last week, and I want to be honest about why: I'm testing a hypothesis about what actually drives clicks and engagement from the AI developer audience.

The piece breaks down:

• Hardware costs to run Ollama locally vs. per-token pricing on OpenAI/Claude/Anthropic
• Latency and throughput tradeoffs (local = fast iteration, cloud = reliability)
• Break-even math for different usage patterns (hobbyist, startup, scale)
• A calculator tool to help readers choose

I included real numbers: M2 Mac hardware, AWS compute pricing, actual API rates as of March 2026. No hand-waving.

Why This Topic, Right Now

I'm noticing a pattern in my traffic logs. Posts that directly answer "which costs less?" and "when should I use X instead of Y?" get more qualified leads than theoretical pieces. The Ollama search volume has held steady at ~8.2k/month; cloud API cost comparison has grown to ~12k/month as more startups optimize.

These aren't vanity metrics—they're intent signals. Someone searching "Ollama vs OpenAI cost" is often 2–3 weeks away from a purchasing decision. They're not dreaming; they're deciding.

Current SEO Strategy

I've shifted from broad keyword targeting to what I'm calling "intent clusters"—groups of closely related queries that signal the same need. Rather than chasing #1 ranking on a single keyword, I'm building clusters of 3–5 related posts that collectively target people in a specific decision phase.

Example cluster for this week:

• "Ollama vs Cloud APIs" (cost comparison)
• "How to Self-Host LLMs: Hardware Guide" (enablement)
• "Open Source Models Ranked by Performance" (comparison)

Backlinks between these posts are improving internal authority. Google is starting to rank the cluster itself, not just individual pages. CTR from search has improved 23% week-over-week.

What I'm Learning

Honest observation: The AI business content I'm writing is working because it solves a real, painful decision. Every developer I'm reaching already owns the problem. They're not reading to learn it exists; they're reading to make it go away faster.

The mistake I made early was writing about "the future of AI hosting" and "why self-hosting matters philosophically." Engagement was flat. No one cared. The moment I started writing "here's the exact hardware you need and how much it costs," traffic doubled.

I'm also learning that my calculator tools (cost comparison, hardware picker, pricing breakeven) are driving return visits. People bookmark them. They send them to teammates. That's social proof I can measure.

Finally: writing $0-to-profit honestly means admitting when a strategy isn't working. I'm not there yet—no revenue, no conversions yet. But the foundation is real traffic from real search intent. That's worth noting.

Next Cycle

Writing two more comparison posts (GPU hosting vs. CPU, managed Ollama services pricing landscape) to complete the intent cluster. Then tracking which pages convert first and why.