Making sites readable to AI engines.

Separating the part engines publish from the part they never will. What the documented requirements actually say, and why most pages fail before selection is even on the table.

Five different things get sold to you as a citation, and they are not comparable. The ladder, what each rung verifies against, and which ones are honest.

Perplexity runs its own crawler and index, so the reasons it skips you are not ChatGPT's reasons. The diagnostic list, sourced to Perplexity's own docs.

Google publishes more about this than any other engine, including that AI Overviews often do not trigger at all. The diagnostic order, quoted from Google.

A method you can run by hand, the tool categories that automate it, and the four things monitoring genuinely cannot tell you no matter what you pay.

One of these two files is in the published spec. The other is a tooling convention that documentation platforms popularised. Here is what each one actually contains, and the honest state of engine support.

They share a model family and almost nothing else. Here is what separates the AI Overview in Google Search from the Gemini app, and why a page can be read by one and skipped by the other.

No engine publishes its local selection logic, but the inputs are documented, and most are not on your website. The mechanism, and the part you control.

Four ways to check, ordered by how much you can trust them, plus the honest limit on all of them: nobody can measure your full presence in AI search, including us.

The AI engines people actually ask questions in, what each one reads, and which of them show their sources. Checked and dated, with the uncertainty left in.

A straight comparison of the tools that track and improve how AI engines see your site, including where each one fits and where Citedon does not.

Most AI citation tools measure and report. A few also fix readiness and maintain it as things drift. Here is how to tell which job you are actually buying.

Buyers ask an AI engine about insurance and loans before they ever fill a form. Here is whether engines can read your page when they build that answer, and why readiness matters most in regulated finance.

Each engine reads a page a little differently. Here is what makes you readable and eligible across all four, and why the durable bet is the common layer, measured.

You do not need to rip out your SEO plugin to be readable by AI engines. Here is how to add the machine-readable layer on top of what you already run.

A concrete, checkable list of the reasons ChatGPT skips a site, and how to tell which one is yours in about a minute.

Schema is how a page describes itself to a machine. Here is the markup that makes your pages readable to AI engines, and the honest limit of what it can do.

Nobody outside the labs knows the exact ranking. But the input signals an engine can read are visible and controllable. Here is what they are.

More searches resolve inside the answer, no click needed. The question that decides your future is whether AI engines can read your page when they build that answer.

AEO is not a growth hack. It is making your pages machine-readable, then checking whether ChatGPT, Perplexity, Gemini, and Claude can actually read them.