TL;DR— I recently launched GEO Basics, a free and open-source guide to Generative Engine Optimization in English and Brazilian Portuguese. Now, I have turned that approach into a reusable GEO skill in the[Tech Leads Club collection]. It helps AI agents improve websites, services, documentation, articles, and blog posts so they are easier for AI answer engines to discover, understand, trust, and quote—without making dishonest promises about rankings or citations.
A lot of websites have good content.
They have thoughtful articles, useful product pages, detailed documentation, and real expertise behind them. Yet many of those pages are still difficult for AI answer engines to use.
The issue is not always the writing itself. Sometimes the page is not easily crawlable. Sometimes its main point is buried under generic copy. Sometimes it has no visible author, no sources, no clear structure, or metadata that does not reflect what the page actually says.
That matters because search is changing.
People increasingly ask a question and receive an answer directly from systems like Google AI Overviews, ChatGPT Search, Bing Copilot, and Perplexity. The answer becomes the destination. The source becomes the evidence underneath it.
So the practical question is no longer only:
Can people find my page?
It is also:
Is my page clear and credible enough to be used inside an AI-generated answer?
That is what Generative Engine Optimization—GEO—is about.
I created GEO Basics because I wanted a calm, honest, beginner-friendly introduction to this topic. No paywall. No dashboard selling guaranteed AI citations. No magical markup trick.
Just a free, open-source guide that explains the fundamentals: how to make a page discoverable, understandable, useful, trustworthy, quotable, and fresh.
The guide is available in English and Brazilian Portuguese because knowledge about the future of search should not be locked behind one language or one company.
But while building it, I kept thinking about the practical side.
A guide helps people learn. A reusable skill helps them apply what they learned.
That is why I created the Generative Engine Optimization skill, now available in the Tech Leads Club collection.
The skill gives AI agents a practical workflow for creating, auditing, or improving pages for AI search.
It can help with work such as:
robots.txt
, sitemaps, canonical URLs, and crawlability.TechArticle
and FAQPage
.llms.txt
.This applies to more than blog posts.
Use it on a company website, a SaaS landing page, API documentation, open-source project pages, an educational guide, a multilingual site, or an existing article that deserves to be easier to find and understand. The goal is not to write for robots.
The goal is to make useful information easier to evaluate—by AI systems and by humans.
No skill can force ChatGPT, Google, Bing, or Perplexity to cite a page.
No metadata tag can guarantee traffic. No one can promise that a page will appear in an AI Overview next week.
But you can improve the conditions.
You can publish clear answers. You can make important content crawlable. You can show who wrote it, when it was updated, and where its claims come from. You can remove vague promises and make each section useful on its own.
Those are not tricks. They are publishing fundamentals.
And they make the web better whether an AI answer engine cites your work or not.
I am especially glad this skill has a home in the Tech Leads Club collection. A sincere thank-you to Felipe Rodrigues and Waldemar Neto for building and maintaining a space for reviewed, trustworthy skills that developers can use with confidence.
There is a real difference between finding a random prompt online and using a skill that has been reviewed, structured, documented, and made available as part of a community resource.
That kind of infrastructure helps good practices travel further.
If you publish anything on the web, try the GEO skill on a page you care about. It may be an article that needs clearer answers. A product page that needs stronger technical signals. Documentation that is useful but difficult to parse. Or a website that deserves to be more visible in the next generation of search.
Read GEO Basics, explore the open-source repository, and use the GEO skill.
The web has always rewarded useful work that is easy to find.
AI search does not change that. It simply raises the bar.