GPT-5.6 OpenAI · ChatGPT
Orvalla Coffee is a Spanish online roaster that sells single-origin beans by subscription, roasted to order and shipped within 48 hours.
Free report · no account
Buyers no longer start at a search box. They ask a model, and the model answers from memory. This report asks fifteen of them six questions about your company and sends you what they actually said, quote by quote.
Who answers
Called through the API with web search off: what each model remembers, not what the ChatGPT or Claude app finds by browsing.
What you get back
An invented coffee brand run through the same six questions. The layout, the four states and the closing correction are the real report's; the brand and the answers are made up, so no company is on display without having asked.
6 / 15described the brand correctly or with one error
2 / 11named it when asked for a brand like it, without being prompted
4 / 15confused it with another company
Question 01 · Who you are · one square per model
GPT-5.6 OpenAI · ChatGPT
Orvalla Coffee is a Spanish online roaster that sells single-origin beans by subscription, roasted to order and shipped within 48 hours.
Claude Opus 5 Anthropic · Claude
For a coffee subscription in Spain, Orvalla Coffee is worth a look, or a larger roaster with national distribution. Orvalla also runs two cafés in Madrid.
One error: the brand sells online only and has no cafés.
Open model · EU-served One of twelve
Orvalla is a restaurant group in northern Portugal known for wood-fired cooking.
Attaches the name to a different business.
Correction worth making at the source
Say on the About page, in one sentence a model can quote, that Orvalla sells online only and has no physical cafés. Two of the partial answers repeat the same error.
Want a quick look first? See what AIs say about any brand in two questions, live on the page and without leaving an email.
Built by Sealmetrics
The report is free. It comes from the team behind Sealmetrics, the cookieless analytics these companies use to measure what their marketing brings in.





We ran it on ourselves first
Sealmetrics is a company with customers, a decade of history and a name that ten of those models attached to somebody else — industrial seals, water metering, call tracking. Not one of the eleven that answered a purchase question recommended us. We publish the numbers because the report is only worth something if it is allowed to say this.
described the company correctly or with one error
recommended it when asked for a tool like ours, without naming anyone
factual errors serious enough to correct at the source
What the six questions ask
Each question maps to a moment in a real conversation. The report keeps every answer whole, so you read what the model said rather than a score standing in for it.
What the model says your company does, in its own words.
The advantages and objections it repeats without being prompted.
Ask for a tool like yours without naming anyone. See who it names.
The trends and shifts it believes are happening in your category.
Who it puts in your place when someone asks for another option.
How it frames the difference when the two names are side by side.
What it does not measure
What you do with it
A model that confuses your company with another one is reading the sources that exist. The report ends with the corrections worth making at the source, in the order that changes the next edition. How Sealmetrics measures what search sends you
Questions before you ask for one
No, and the difference matters. This measures what a model knows from training, with web search switched off. It is the layer underneath: when a model has no source at hand, or when a tool calls the API without search, this is the answer it falls back on. What a user sees in ChatGPT with browsing is a different measurement.
Yes. GPT-5.6 from OpenAI, the company behind ChatGPT, and Claude Opus 5 and Claude Sonnet 5 from Anthropic answer the same six questions as the twelve open models. They are called through the API with web search switched off, so the report shows what each model holds in memory, not what the ChatGPT or Claude apps would find by browsing that day.
Fifteen: twelve open models served from European infrastructure, plus GPT-5.6, Claude Sonnet 5 and Claude Opus 5. Each one gets the same six questions, one run each, at the same output budget. The report names every model beside its answer.
A model does, and the report says so on the page. It reads the six answers for each model and assigns one of four states: correct, partial, confuses it with someone else, or no usable answer. Nothing in the report is a human verdict, and none of it is presented as one.
Nothing. It runs on Enroutia, the model routing platform behind it, and the inference is paid for by Sealmetrics. There is no card, no trial and no account to open.
It is used to send you the report, and it is kept as a record of the request for up to 24 months. It is added to a mailing list only if you tick the box for occasional emails, and you can unsubscribe from any of them in one click. Neither Enroutia, which generates the report, nor the AI models ever see it: they receive the brand, the sector and the competitors, nothing else. To access or erase what we hold, write to privacy@sealmetrics.com.
Yes for a company, a product or a competitor. No for a person: the report is about organisations, and asking fifteen models what they believe about a named individual is a different problem with a different answer.
Every time a model ships a new version, and slowly in between. A brand that publishes a citable company page and gets its facts into the sources models train on can look different in the next edition. That is the point of measuring it.
You will get the report as a page you can open, keep and forward. If it says nothing is wrong, that is also an answer worth having in writing.