Discover insights, tutorials, and resources to help you build and launch successful products.
AI content penalties, duplicate-content penalties, llms.txt, chunking, the Indexing API, 'internal' AI rankings and seeded mentions: what Google's documentation actually says about seven claims founders hear every week.
Most AI crawlers do not run JavaScript. We requested 365 recently launched product sites the way they do. Of the 342 that loaded, 1 in 10 returned a page with a title and description but almost no body text. What we measured, why it happens, and the two-minute check for your own site.
What dofollow and nofollow actually do in 2026 — to Domain Rating, to rankings, and to AI citations — plus how to audit your own link profile and which links to chase.
The ChatGPT-specific half of AI optimization: how its retrieval differs from Google's, and a concrete checklist for the pages, facts and mentions that earn ChatGPT citations.
The best AI writing tools of 2026 by writer type: general assistants, marketing suites with brand voice, editing-first tools, and the free tiers worth starting on.
A technical ship-day checklist for launching a website in 2026: indexation, metadata, structured data, AI-crawler access, performance budgets, redirects and the legal lines people forget.
A working playbook for AI search engine optimization (AI SEO / GEO): the surfaces that answer buyers now, the signals each one rewards, a nine-step program, and how to measure whether it is working.
What makes ChatGPT name one product and skip another: seven levers that move citations, in the order they pay off, with the checks that tell you which one is missing.
A snapshot study of AI Overview references across six commercial queries: what kinds of pages get cited, how small the citation pool is, and the four routes into it.
Copy-paste llms.txt templates for a product site, a docs site and a blog; the fields that matter, the mistakes that make the file useless, and a validation checklist.
What AI-visibility platforms actually measure, the three methods underneath them, when the free stack is enough, and a buyer's checklist by team stage.
Running an AI-assisted editorial pipeline in production taught us which machine-written pages earn citations and which get ignored: the four properties that separate them.
A master index of the best AI tools in 2026, organized by job to be done — writing, video, image, code, research, automation — with what each is actually best at and where to look deeper.
The best AI video generators of 2026 ranked by job: cinematic generation, character consistency, social cuts and price-per-usable-second — with the trade-offs each vendor's demo hides.
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.
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.
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.
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.
Not all structured data helps AI assistants cite you. A pragmatic priority order for Organization, Product, Article and FAQPage markup — and what to skip.
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.
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.
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 use it to compare places to get listed, and why it says little about whether AI assistants will name you.
A week-by-week pre-launch checklist for founders — positioning, assets, audience, and distribution — so launch day is execution, not improvisation.
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.
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 dofollow, nofollow and sponsored links mean, what a directory listing is actually good for in 2026 (discovery, referral traffic and a place on the category pages people and AI answers read), and how to pick directories worth your time.
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.