AI thought my company was a typo. Here's what I measured.

What Luxcerta measures

Luxcerta measures how AI models talk about a brand. Not your Google ranking - your standing inside AI answers. When someone asks ChatGPT, Claude, or Gemini a question in your category, are you named, skipped, or misquoted? We count it with a fixed method you can reproduce yourself. Which meant I had no excuse not to run the method on my own week‑old brand.

The baseline (day 0)

Nothing fancy, and that's the point - the whole pitch is that you can repeat it.

• 5 identity questions about the brand ("What is Luxcerta?", "What does luxcerta.com do?", and variants), each asked twice in a fresh conversation (AI answers vary run‑to‑run; a single answer means nothing).
• Gemini with grounding (its live web‑retrieval mode).
• Count mentions and citations of my own domain with plain string matching - no AI judgment in the counting.

Result, day 0:

Zero across the board. Worse than zero, actually: the name was being actively reassigned to an established company with a near‑identical spelling, and my domain was being guessed as hostile.

The part I didn't expect

The same day, Google Search's AI Overview - a different product, different retrieval pipeline - already described Luxcerta correctly: "an independent studio that focuses on GEO monitoring." It had eaten my homepage's meta description and structured data and got it right. So on one single day, from one company: Google Search's AI knew exactly who I was, and Gemini's grounded answers thought I was a typo. Two AI surfaces, opposite verdicts, same underlying brand. That gap is the phenomenon the product measures.

"Is AI right about you" has no single answer - it has one answer per surface, and they disagree more than anyone expects.

What I changed

I wanted the grounded models to have something authoritative to retrieve, so I gave them a few crawlable, machine‑readable anchors that all agreed on one definition of the entity:

• Organization structured data (schema.org JSON‑LD) on the homepage: legal name, founder, sameAs links tying the domains together.
• A tightened meta description stating plainly what the company is.
• A GitHub profile page as an independent, high‑authority node repeating the same one‑line definition - and one explicit line disambiguating Luxcerta from LuxCarta.
• Search Console: submitted the sitemap and requested a recrawl so the fresh signals got picked up quickly.

Honesty note, because it's the whole brand: I changed several things at once and then watched. This is a case study of one brand over one week, not a controlled experiment. I can tell you the inputs and the measured outputs; I can't hand you a clean attribution to any single lever.

The flip (day 7)

One week later, the same identity query on Google's AI Overview returns, stably:

Luxcerta is an independent studio that focuses on GEO Monitoring, which measures how artificial intelligence platforms talk about and represent a brand.

No more LuxCarta. The knowledge panel points at my own "Our Name" page. Organic result #1 is the site. The reassignment to the French firm is gone from that surface. Roughly a week, from "probably a typo / possibly phishing" to a correct, stable, one‑sentence definition - with no backlinks bought and no PR, just a handful of crawlable nodes that agreed on who the entity was.

Why this matters if you're not me

I'm a brand‑new company, so my invisibility is unsurprising. But the exact same mechanism hits established local businesses that simply have a low signal footprint online - and there the stakes are real. In our first public category survey - dental implant clinics in greater Taipei, 15 real user questions × 3 fresh conversations each, 45 answers per platform - the clearest finding was this: the AI reads a clinic's own website, then recommends a different clinic. In the same answer, it cited clinic A's site as a source and put clinic B on the recommendation list. The content got consumed as category reference material; the credit went elsewhere.

Run the same questions on ChatGPT, Claude, and Gemini and you get three almost non‑overlapping lists. (The full survey is here.) A clinic owner has no way to see any of that from the outside. Neither did I, until I counted.

What I did not measure

• One brand, one week, mostly one platform (Gemini grounding) plus Google's AI Overview. That's a case study, not proof.
• Generative AI Overviews drift; a stable week is encouraging, not permanent.
• I can't attribute the flip to a specific change - several landed together.

That last section is not a disclaimer bolted on at the end. It's the product. The one thing I sell is refusing to dress up an inference as a measurement - what I didn't measure, I don't claim.

I'm the founder of Luxcerta, an independent studio measuring how AI models represent brands. If you want to know what AI currently says about yours - named, skipped, or misquoted - every number I'd send you is one you can verify yourself in about two minutes.

Top comments (0)