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Who I am, what I do.

I read the logs. I build the thing. I ship it. Then I write about what I found, so the next person doesn't have to repeat the work.

How I got here.

I'm Misha Manko, a Ukrainian technologist working independently across research, analytics and software. I spent the last decade in the weeds of technical SEO, schema markup and content infrastructure for businesses in regulated industries: law firms, medical practices, finance companies. Businesses where a single mis-rendered page or a broken schema field can cost six figures in lost traffic.

What I learned in that decade is that most of the "best practices" people repeat online fall apart the moment you pull real data. Google's documentation says one thing. The logs say another. The difference between those two things is where the interesting work lives.

I prefer measurement over theory. Always have.

What I'm building now.

Independent projects, each with different economics. The thread connecting them is the same: I want to own the thing I'm working on, not just bill hours on someone else's problem.

AI visibility research. I operate a 50-site network with instrumented bot logs, publish findings on how AI models actually read websites, and audit client sites against that research. This is the flagship public offer, productized as a $2,500 fixed-price audit with a clear deliverable and timeline.

Consulting. For businesses where the audit isn't enough: multi-site networks, complex content infrastructure, enterprise AI visibility roadmaps. Custom-scoped engagements, 3-6 months, fixed scope and fixed price. This is where my research applies directly to bigger strategic problems.

What I don't do.

I don't run a traditional agency. I don't do retainers without clear deliverables. I don't promise AI citation rankings, because nobody can. I don't take on projects where I'd be a generalist among specialists. The list of things I decline is much longer than the list of things I accept, and that's on purpose.

I also don't chase the AI hype cycle. Most of what's labeled "AI-first" or "AI-powered" is either bolted on to make copy sound current or applied to problems that didn't need AI in the first place. My stance is simple: AI is a tool, sometimes the right one, often not. Measurement before enthusiasm.

How the work evolved.

  1. In-house technical SEO

    Spent the early years working on technical SEO for regulated industries: medical, law, finance. Learned early that the industry's "best practices" often don't survive contact with real log data.

  2. Agency work and schema specialization

    Built out schema markup and content infrastructure practices for bilingual client sites, learned what breaks when you scale, and started publishing findings publicly. This was also when I started pulling bot logs seriously.

  3. Research network built out

    Stood up the 50-site AI bot research network. Started measuring which AI fetchers visit which types of content, at what frequency, and what they actually cite later. This became the methodological backbone for everything since.

  4. Independent operator, multiple projects

    Launched mishamanko.com as a hub for the work. Productized the audit and started publishing the research. Still doing consulting for the harder cases.

Want to work on something?

I reply within one business day. If you have a research problem, a consulting engagement, a tool idea, or just a question I'd find interesting: write.