AI Visibility
Baseline

We wrote 40 questions a real buyer might type, then asked each of the four big AI assistants every question three times, with live web access turned on. That is 480 answers. Half the questions never mention Yoreh by name (these test whether you get discovered when someone asks about the category). Half name you directly (these test how you get described once you are found). Separately, we checked Google's own AI answers (the AI Overview and AI Mode boxes) across 21 of your keywords.

We pinned the exact model versions so that when we run the same 40 questions again at week 6 and week 12, you are comparing like for like and the movement is real, not noise.

Read those three numbers together and the whole scan is in them. The models have a rich picture of Yoreh, so nothing here is a cold start. But that picture only surfaces when your name is already in the question, and the picture itself is often out of date. The rest of this document is those two gaps, pulled apart so you can see exactly where they live.

Every model shows the same pattern. Ask a brand question and you are described almost every time. Ask a category question, the kind a new buyer actually asks first, and you rarely come up. That gap between the two columns is the single clearest thing in the scan.

The named column is strong across the board, which means the raw material about Yoreh is out there and the models can reach it. The category column is where the growth lives. Right now, when someone asks about smart ring jackets or silver jewelry without knowing you exist, they almost never leave the conversation having heard of you.

This is the organic reach signal, and it is concentrated in exactly one place. When the question is about smart ring jackets, you surface about a third of the time. In every other area you make, you are effectively invisible to a buyer who does not already know your name.

Across all the category questions that were not about smart rings, you were named exactly once in the entire scan. So the smart ring jacket is doing all of the discovery work on its own. That is a genuine foothold, the models already see you as a real answer there. It also means the recycled silver and alternative unisex stories are wide open, and someone else is currently getting the mention.

This is the part you asked us to watch most closely, and it is the clearest finding in the scan. Your name currently points at three different things, and only one of them is your jewelry brand. Which one a model lands on depends entirely on how the question is phrased.

Read the top row first. Ask for your name cold, with no other context, and the models mostly answer with the Hebrew word (Yoreh, the early autumn rain, and a term from Jewish law), not your brand. So the default meaning of your own name is not you yet.

Now the bottom row, which is the bigger operational issue. The moment you tell a model it is a jewelry brand, every single answer places you in Bali, Indonesia, and none of them mention that you are a US registered company. Across all the brand questions, 61% put you in Bali, 19 answers describe a coffee shop or cafe attached to the brand, and not one identifies the US entity.

Of the answers that name you, half repeat at least one fact that no longer matches the brand. The errors are not random, they cluster on the same handful of details, which is what makes them straightforward to correct at the source.

The pattern is consistent. Every one of these traces back to what yoreh.co currently tells a crawler, or to older press and directory listings the models found. Only three answers in the whole scan actually stopped to ask which Yoreh was meant. The rest committed confidently to the wrong version, which is worth knowing: the models do not hedge here, so the correction has to come from the source, not from hoping they get cautious.

Set the accuracy issue aside for a moment, because the tone is genuinely good. When a model does describe Yoreh, it describes a brand it clearly rates. Out of every answer that mentioned you, one was negative. One.

The words the models reach for are premium, distinctive, sculptural, solid, indie. They praise the design identity, the materials and the smart ring jackets specifically. This is why the headline calls it an accuracy problem and not a reputation problem. The sentiment is already an asset. The job is to make sure the model is being positive about the current, correct Yoreh, and to get it saying these things when your name is not in the question.

In the category questions where you do not appear, the models still name someone. These are the brands getting the mention you are not. The list below counts how many times each came up, and in which area, across the scan.

Two things stand out. In the smart ring pocket, Buffr is not just winning inside the chat models, it is the brand Google's own AI names as best Oura cover. And in the alternative silver pocket, The Great Frog is the fixed reference the models compare everyone else against, including in answers that were literally asking how you compare. Those are the specific pockets where the category story needs to be told, because a name already fills the gap.

When the models cite a source, this is what they reach for. It tells you two things: where your current picture comes from, and which doors the category answers walk through without you.

The pattern is telling. Almost everything the models know about you comes from your own site, and mostly from your policy pages, not your story. Meanwhile the third-party sources that answer the category questions, the Reddit threads and the listicles, do not mention you at all. That is the exact target list for the off-site work: these are the pages that own the answers, and none of them carry your name yet.

Across 21 of your keywords, you did not appear in a single one of Google's 29 AI results. Two things sit behind that number, and they point in different directions.

• For most of your keywords, Google is not showing an AI answer yet. Only two of the checked terms returned a full AI Overview at all. For the rest, the AI box has not formed, which means the surface for these queries is still being written and there is room to be an early source.
• Where the box does appear, a competitor is in it and you are not. On "best oura ring accessories," Google's AI cites Oura, Etsy, a Yahoo Finance piece naming Buffr, and TikTok. These are the sources to be part of.

The scan lines up cleanly with the work already scoped in this hub, and it tells you which pieces carry the most weight.

• The identity fix is the highest-leverage, and it is on-site. The Bali base, the 2022 date, the co-founder and the cafe all live on pages you control. Correcting the manifesto and meet-the-team pages, and adding a clear brand definition and entity markup, is what the on-site content pack and entity work already cover. This is the fastest number to move.
• The discovery gap is the category and off-site work. You own one pocket (smart ring jackets) and are absent from the rest. The content strategy and off-site outreach are aimed at the recycled silver and alternative unisex answers, and at the third-party sources that currently answer them without you.
• The sentiment is already yours to keep. The tone is positive and the review work protects and extends it. The point is to attach that good opinion to the current, correct brand, and to surface it when your name is not in the question.

We are deliberately not promising a specific ranking or a recognition percentage. What we are promising is a clear before, and an honest after. We run these same 40 questions, pinned to the same models, at week 6 and week 12. You will see exactly which numbers moved, in which pocket, and by how much. This page is the before.