Asking ChatGPT once tells you almost nothing — the answer changes with the model, the wording, the market and the day. Loorty turns that noise into a comparable, repeatable measurement you can act on.
We build a battery of real buyer questions for your category and run them through each model's official API, in each market's language.
A consistent scoring layer reads each answer for mentions, position, tone, the competitors named and the sources cited.
Measurements repeat on a daily cadence, so a single odd answer never moves your number — you track a stable trend.
Loorty explains what changed and why, then hands you a ranked plan of content, authority and fixes.
Classic SEO optimizes for the ten blue links. GEO — Generative Engine Optimization — is about whether an AI assistant understands, trusts, cites and recommends you when it writes an answer. It's a different game, with different signals.
Loorty measures that game directly: not where you rank in Google, but whether the model names you when a buyer asks for a recommendation — and what it would take to change the answer.
Here's what changed since your last scan
↑ 1 point since last scan · AI rarely recommends you in commercial prompts
Are you named at all — and where in the answer? First recommendation or a footnote?
How the model frames you, and whether it states anything about you that's simply wrong.
Who gets recommended instead of you, and on which questions they win.
The sites, portals and content the model leans on to build its answer in your category.
Every prompt runs in the right language and market, because AI answers differ across both.
Repeated runs smooth out randomness, so your score reflects reality, not variance.
Measurement is table stakes. Loorty's job is to make the number mean something you can act on.
Up or down, on which questions and models.
New competitor sources, content, or framing.
Exact content, source and priority to fix it.
Which questions win or lose you customers.
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