See what ChatGPT, Claude, Gemini and Perplexity tell everyone else.
Free. No account. About a minute. Another question, with its test and 3 rechecks, is $29, one payment. Pro is $99 a month, Teams $259 a month.
“Their API is read-only, so most agencies end up elsewhere.”
Taken from a 2024 comparison site. Your changelog said otherwise; no agent opened it.The first paragraph of /api now says the write API exists, and when it shipped.
“Supports reading and writing invoices through its API.”
Same 4 agents, same questions. Now they quote your /api.An example account. Every test asks the same 4 agents the same questions before and after your change, and shows you every answer both times, so you know the fix worked and not that you got lucky.
“And with answers this noisy, proving a change caused a shift is hard.”
Claude. Three of the four turned one line on the homepage into this caveat: it admitted answers vary, and did not say what is done about it.One sentence added beside that line: each test asks the same four agents the same questions before and after the change, and counts the answers that now stand better against the answers that stand worse.
“It says plainly that AI answers vary … Many tools in this space overclaim.”
Claude again, now listing it under what works, and moved from against to hedging. All four opened the changed page; none repeated the caveat.One draw: the same four agents, asked once before and once after. The direction is what the test predicted; a test ends supported only when the answers move on balance across rounds.
The whole test, and what it does not proveEvery answer, marked for you, against you or mixed. The ones against you are the deals you are losing: the comparison, the API, security, fees.
Every answer is built from specific pages, yours and other people’s. Change the right page and the answer changes. Oomira shows you which page, and whether your change worked.
Keep the tools you have. Oomira finds the page and proves the fix; your analytics shows the traffic that follows.
An example account; the figures are illustrative. Yours come from the pages the agents actually opened when they answered about you.
They are the fastest to set up, but their API is read-only, so most agencies end up elsewhere.
The right answer is already on your site, on a page agents do not open or worded so they do not use it. That makes it a fix, not a campaign.
$ oomira fetch yoursite.com/integrations fetch 200 · 0.6s body 41 words list rendered by script · 0 names in HTML schema none opened 2 of 4 agents quoted never
/pricing cited 9 times, the 2024 fee article 7, the API reference 5. Buyers hear your prices in support wording.
/integrations is rendered by script: 41 words and no tool names in the HTML. Agents open it and quote none of it.
592 of 624 pages load. The comparison page an agent wants for the head-to-head question redirects to the homepage.
Every problem comes with the page, what AI got back, and which agent hit it. Hand engineering a ticket, not a theory.
See your site as AI reads itYour first question, asked cold. About a minute.
A question, its test and 3 rechecks. One payment, no plan.
One company. Ask, change, recheck.
Pro, for the whole team.
Several brands, markets or a custom setup.
Asking a question puts it cold to all four agents and traces every sentence of every answer to the page the agent cited for it. A test is designed when you press for it on a question: the change for your site, the page, the wording and the prediction, from that question's answers. A recheck asks the same question again after a change, up to 3 times per question a month. Nothing runs unless you press it.
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 question 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 tests: controlled before and after checks 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 question, the same agents, 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.
Four answers, word for word, with every sentence 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 agents 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 comes a headline, which says what the answers come to. A test is designed from those answers when you ask for one: a change, a prediction, and the question to ask again. Your free first question comes with its first test. On a plan, from the third asked question, Oomira also writes the Beliefs the agents hold across the account’s questions, and updates them when you ask. 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 analysis.
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 question 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 question 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.
About a minute. Your first question is free and needs no account: it goes to 4 agents, and two of the answers show at once. With a work email the rest open, and the full report is written about three minutes after the address: all 4 answers, the pages behind them, and your first test. After that nothing runs on a clock. A question, a test or a recheck goes when you press.
Sometimes the very next time it is asked, 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: a recheck asks the same question of the same agents and compares with the answers before, instead of waiting and hoping.
Your first question is free and needs no account. A work email adds all 4 answers, the full report, your first test and one free recheck once your change is live. Another question, with its test and 3 rechecks, is $29, one payment, with no plan. The question goes cold to all four agents with every sentence traced to the page the agent cited for it, and its test is designed when you press for one. Each recheck asks all four again after a change: up to 16 agent answers on the one question. Your free report and its test are saved to an account, with 3 rechecks of its own. You choose the question after you pay, and it is kept until you use it. Pro is $99 a month for one company: 10 questions and 10 tests a month, 3 rechecks per question, each counted separately. Asking a question puts it cold to all four agents and traces every sentence of every answer to the page the agent cited for it. A test is designed when you press for it on a question: the change for your site, the page, the wording and the prediction, from that question's answers. A recheck asks the same question again after a change, up to 3 times per question a month. Nothing runs unless you press it. Redrawing a test from everything your account has learned since uses one of the month’s tests. Site checks are not counted, and Beliefs are written from your third asked question and updated when you ask for it. 1 user. Teams is $259 a month: the same questions, tests and rechecks, for 5 users. Enterprise is by contract and adds the fact check, the claim analysis and follow-up questions. A month’s questions, tests and rechecks do not carry over.
At Sheertex, I lived in the dashboards. We grew to tens of millions in revenue and raised hundreds of millions, and I constantly changed the pages that shaped what people believed about us: the homepage, product pages, checkout, investor decks, careers pages, press materials.
If a buyer, investor, candidate or partner was forming an opinion of the company, I wanted to know what they saw and what moved them.
Today, a lot of that happens before anyone reaches your site.
A buyer asks ChatGPT or Claude what to use. The agent reads your pages, competitor pages and outside sources, then hands back a recommendation. Nothing appears in your analytics. Soon the buyer may never visit at all: their agent will do it for them.
I originally built Oomira because I wanted my own AI agent to get the facts about me and my company right. Then I realised the bigger problem was everyone else’s agents getting you wrong, in front of your buyers, with no way to see why or test a fix.
Oomira is the same obsession with the funnel, pointed at where the funnel is now.
Katherine Homuth, founderPreviously founded Sheertex, Female Funders and ShopLocket.Your first question is free. No account. About a minute. Another question, with its test and 3 rechecks, is $29, one payment. Pro is $99 a month, Teams $259 a month.