Every assistant we can reach is asked about you, cold, with live search. Every answer is scored on what it does to the buyer reading it.
Free · no signup · asked live every time, never served from a store
What do you think of [your company] ([yourdomain.com])? Answer in 100 words.Nothing else is sent. No system prompt, no memory of you, nothing from us — each assistant has its own live search tool and goes and looks. The filled-in question is printed again with your scores, so you can check it against this.Claude claude-opus-5ChatGPT gpt-5.6-terraPerplexity sonar-proGemini gemini-pro-latestEvery free ask puts that question to all four, once each. A subscription raises it to 3 or 5 asks per assistant — the same question, asked again — because one ask is one draw and a spread across several is what shows whether a score is really where it sits. It also opens the other benchmark questions: a buyer, an investor and a candidate ask different things about the same company and get different answers back.
Net Promoter Score is the question companies have asked customers for twenty years. We ask it of the four assistants a buyer actually consults.
0–3Steers the buyer somewhere else.
4–6Praises you, then tells the buyer to check first.
Describes you accurately and stops there.
Recommends you, no caveat.
Buyers ask ChatGPT, Claude, and Perplexity before they ever ask you. Oomira shows you their answers, verbatim: what's wrong, what's missing, and the exact moves that change the next ask.
Fifteen report runs on ourselves over three days. Each answer read, traced to the thing on our own surfaces that produced it, and that thing changed.
the current Terms still describe an AI coding workspace
ChatGPT had read: A terms page left over from the old product, a beta label on every page, and metered overage shown on a plan that has none. Rewritten, removed, and corrected. Every ask since has been a promoter.
its own preview report says results can be incomplete
Perplexity had read: Our own sample report. It reads our hedging and returns it as the reason to doubt us. Not fixed. Fifteen asks, fifteen detractor scores — the open one.
No single ask is the measurement. The homepage’s own quick asks, a shorter lane, came back anywhere from −50 to +50 about us on one afternoon, because each one searched a web that had moved and opened different pages. That spread is why the report scores four assistants and why the number is worth reading as a run rather than a result.
That is the sentence that costs the meeting, and it is not a hallucination — it is an assistant behaving correctly with too little to go on. We hand each one live web search and let it choose what to read, so this measures what they can reach today. Every reservation it raised names something their record can answer.
Every figure above carries the date it was measured and the table it was measured against. That is one of the checks this report runs on other companies: whether a page says when its numbers were true. This is us answering it.
SUBJECTS DESCRIBED, NEVER NAMED
A model may have picked up something about your company in training, and for most companies there is not much of it. Either way it is not what decides the answer: every assistant we ask holds a live search tool, picks its own queries and opens pages while it writes. So a failing check is not a technical fault, it is a channel you are not supplying, and the answer gets written without it. We grade 45 of them, on two kinds of pages.
An objection built from your own pages is retired by publishing. You can start this afternoon and the next ask reads the new page.
Publishing does not reach these. Either your own page becomes the better answer to the same question, or the claim is corrected where it lives.
Not all of them apply to everybody. Commerce checks need a storefront, coverage checks need press to grade, so one report grades between 15 and 32 of these 45 and leaves the rest out of the denominator rather than counting them against you.
Every query an assistant chose for itself, and every page it opened, is recorded. That is what makes a sentence about you addressable: the four answers in our own report rest on these pages, and the ones on our own site are the ones our next edit reaches.
We noticed that the version of a company an assistant answers from is the one nobody at the company has ever read. It lives scattered across a broken public presence, or inside context retrieval you cannot see or control.
So we assemble the real you: every fact, with its source and its dates, in a record you hold.
Underneath it is a map of every fact that can exist about a company or a person, with time built in: when a fact changes, the record shows when, and the old value keeps its date.
The AI readiness report is the first reason to build your record, and the first output it powers, not the last. The record is what you keep: expand it, correct it, serve it over MCP to the AI you authorize, put it to work wherever a grounded baseline of who you are makes AI output better.
What you fix, the next answer picks up. And public facts are only where it starts.
Oomira has been one thing since work began in 2025: a context layer built on a sourced, dated record of what is actually true about a company. The early press calls it organizational memory, which is the same record under an earlier name. What arrived in 2026 is the front door, not a different product: the AI visibility report shows a company what assistants say about them today, and builds the first version of their record while it does. The record model itself has never changed. How it is SOLD did: Oomira is software today, at a free scan, a $29 report and subscriptions at $20 and $99 a month, and the hands-on engagements described in 2025 coverage are not how anyone buys it now.
Accurate, dated models of every company and every person AI answers about. Starting with yours.
Ask about any company, get your own scores and a sample report on the house, and decide from there.
A report is true on the day it ran. What an assistant says about you is written fresh every time somebody asks, out of a web that has changed since — the plans exist so your record keeps up. If nothing about your company ever changes, buy the report once and do not subscribe.
Any company: yours, a friend raising a round, or one you are looking at. The scan runs deep and the scores land in your inbox.