01 Orientation · 5 min
The course spends a fixed, small budget of free-tier quota on one honest experiment. Here is the order, and the one mistake that wastes it.
Every lesson has the same four parts: the concept, where it lives in the product, a lab you can actually run, and a short self-check. The concept sections are the part you should read even if you never open a tool. The labs are what turn reading into a skill.
At the end of each lesson there is a Read next block pointing into our reference library. Those are the long-form pieces. This course is the spine; those are the depth. If a lesson raises a question it does not answer, the answer is almost always in one of those links.
The free tier gives you three manual ChatGPT checks a month, one Deep Analysis, one Content Audit, ten tracked prompts, and one workspace. This course spends that budget on exactly one experiment: baseline, change, confirm.
The way to waste it is to run a check early out of curiosity, before your prompt set is right. If you burn a run on a prompt set you are about to rewrite, your baseline and your follow-up are measuring different things and the comparison is meaningless. Do not run anything until Module 2 tells you to.
This constraint is real, but it is also the lesson. Teams with unlimited runs re-measure until they see a number they like. A three-run budget forces you to decide in advance what you are testing — which is what a real experiment requires anyway.
Modules 1 through 5 can be done in an afternoon. Module 6 cannot, because it asks you to re-measure after a content change, and a content change does not reach answer engines instantly. Depending on the engine, the source, and how often it is recrawled, that takes days to weeks.
Quotas reset monthly, which fits this rhythm. Take your baseline and ship your change in month one; verify in month two. If that feels slow, that is accurate information about AEO rather than a limitation of the course.
Needs a free SolCrys account (no credit card). No quota consumed.
If you are only here to read, skip this. Every lesson is complete without doing the labs.
Start Free — free plan, no credit card.
This lesson is the spine. These guides are the depth.
Measurement
AI answers are non-deterministic, so a naive GEO test lies to you confidently. The four test-design rules that decide whether your AI-visibility result is signal or noise: measure a rate, test at the buyer's specificity level, test per language, and sort each cited source by the move.
How SolCrys Works
What a SolCrys workspace is, the two ways to create one, and the best practices that keep your AI-visibility measurement clean: scoping the category, when to use multiple workspaces, engines, competitors, Corporate Context, and the prompt set.
Free · No credit card
Start free with a ChatGPT visibility read, then add multi-engine tracking, Corporate Context governance, and the action-to-result loop when you are ready.