AI cites you. Does it choose you?
A/B test your pages until it does.

The customer journey now happens before the visit: people ask an AI agent to compare, recommend and decide. Oomira asks 4 named agents (Claude, ChatGPT, Perplexity and Gemini) the questions buyers, investors, candidates, partners and press actually ask about a company, cold, with live web search and nothing supplied by us. It shows each answer word for word, marks its claims for you, mixed or against you, and traces the answer to the pages it opened: the company’s own, its competitors’ and the outside sites that shaped it. Then it writes a hypothesis about what is driving the answer, and when a page changes it asks the same questions again and compares with the answers before.

Web analytics measures what people do once they reach a site. SEO and technical tools measure whether pages are indexed, reachable and structured. AEO and visibility tools measure whether a company appears in AI answers and its share against competitors. Oomira answers a different question: does changing this page change what the agent says. It works in experiments: controlled before and after tests on the pages and sources shaping an answer. Not a split test, since there is one web and one set of pages, so the control is holding everything else still: the same questions, the same models, asked cold with nothing supplied by us, before a change and after it. They are complementary: Oomira finds the page and runs the test, and the other tools show the traffic move.

The answer word for word, with every sentence of it tagged: marked for you, mixed or against you, and carrying the citation that agent reported for it. That is every sentence of every answer, on every plan. Every page the agent opened is fetched and kept, yours and other people’s, and searched when Oomira forms and traces what it concludes, so a finding rests on the pages that produced the answer rather than on a summary of them. Out of that come the beliefs the agents hold, conclusions about the account, and tests to run: each one a change, a prediction, and the questions to ask again. Judging each sentence against the text of those pages, rather than against the agent’s own account of what it read, is the Enterprise claim trace.

Your own assistant holds your history, your earlier questions and often your own website already in the conversation, so it answers about a company it has been introduced to. Oomira asks four agents cold: a blank slate, nothing supplied by us, one live search each. That is the answer a stranger gets, and it comes back with every page each agent opened, so a claim can be traced to the page that caused it rather than argued with.

Yes, by changing what the agents read, and you can see it happen. Every ask is an evidence environment: each search the agent ran, each page it opened and each page it cited is recorded, every sentence carries the citation the agent gave for it, and the pages themselves are kept and searched when Oomira works out what produced the answer. So a claim is either backed by something that agent just read, in which case the page that caused it is named and can be changed, or it is backed by none of them, which means it came from the model or from something cached, and that is a different problem with a different fix. Change the page or the outside source, ask the same questions again, and compare with the answers before. Answers vary between days, so a test predicts that fewer agents will say the thing rather than that one agent will say a given sentence.

A couple of minutes. Your first question is free and needs no account: 4 agents answer while you watch. A paid account starts with 20 questions we generate for your company, which you can edit or replace with your own, each put to every model: 80 asks. After that nothing runs on a clock. Asks and tests run when you press, and new insights keep arriving as those answers land.

Sometimes the very next ask, sometimes not. An agent that opens the changed page can pick it up immediately; a claim that came from an outside site, or from something cached, moves when that source moves. That is why a change is a test rather than a fix: you re-ask the same questions on the same models and compare with the answers before, instead of waiting and hoping.

Paid plans are counted in asks. One ask is one question put to one model, so a question answered by all four models is four asks; a test re-asks only on the models it needs. A monthly plan is $99 for one company, with 160 asks a month: the setup questions put to every model, then the asks spent when you change a page and ask the same questions again. A shared plan for a team is $259, with 160 asks a month. The team plan starts with 7 days free and no card.