Discover insights, tutorials, and resources to help you build and launch successful products.
A working comparison of Generative Engine Optimization and traditional SEO — the surfaces, the signals, where the same work serves both, and how to run one program that wins both.
AI crawlers leave very readable patterns in your server logs. How to segment the bots, what each one's fetch pattern means, and the two questions worth answering before you touch a GEO tool.
We deployed an llms.txt across aat.ee three months ago. What it is, what we shipped, what the logs and referrals actually show, and an honest verdict on whether you should bother.
We looked at the highest-voted launches on aat.ee and found their names follow five patterns. A working taxonomy of launch copy — drawn from real projects, with the anti-patterns that cost clicks.
A solo founder's SEO stack in 2026: the free tools that cover 80% of the work, the three categories where paying is actually worth it, and what to skip until revenue says otherwise.
The three major AI assistants find and cite products in different ways. A repeatable test protocol, what each engine actually rewards, and the fixes that differ between them.
Not all structured data helps AI assistants cite you. A pragmatic priority order for Organization, Product, Article and FAQPage markup — and what to skip.
How AI crawlers actually reach your site, what belongs in robots.txt and llms.txt, and the on-page signals that decide whether an assistant can quote you.
There is no dashboard for AI citations yet — but Search Console has lagging indicators that tell you whether the work is landing. Here is the measurement routine.
A working system for directory submissions — the directory types that actually pay off, a 30-day schedule, and a tracker template so nothing gets half-submitted or forgotten.
A quiet launch is not a verdict — it is a data point. How to diagnose what actually failed, triage the first 72 hours, and rebuild a launch that compounds.
Product Hunt is one launch surface, not a strategy. Here are seven alternatives in 2026 — what each one actually gives you, what it costs, and how to stack them.
A practical guide to Generative Engine Optimization — how ChatGPT, Claude, Perplexity and Gemini decide which products to name, and the steps to become one of them.
Product Hunt isn't the only place to launch in 2026. How to evaluate launch platforms — audience, dofollow backlinks, DR, AI visibility, queues — and why a multi-platform launch wins.
What 1,220 product launches on aat.ee in the first half of 2026 reveal — monthly cadence, the categories founders are building in, and where AI sits.
A week-by-week pre-launch checklist for founders — positioning, assets, audience, and distribution — so launch day is execution, not improvisation.
A tactical checklist for getting AI assistants to recommend your product by name — the mentions, structure, and consistency that make a model reach for you.
Domain Rating explained for founders: what the 0-100 score means, how to read it when choosing where to get listed, and why it feeds both Google rankings and AI recommendations.
Launch day is a spike; your first 100 users come from what you do next. A practical playbook: launch where users already are, talk to everyone, and turn the launch into ongoing discovery.
Why dofollow directory backlinks still move the needle for SaaS — how they pass authority, help indexing, and feed AI visibility — and how to pick directories worth your time.