There is no page two. Answer Audit asks the AI assistants the questions your buyers actually ask, and shows you who got named, who got cited, and what to fix.
Free: six real buyer questions on three AI assistants. For 30 days: your competitors on the same answers and one page drafted for you. Your report stays free for ever.
For twenty years the game was being on page one. Now the assistant reads page one for the buyer and gives them one answer. When that happens, the clicks stop.
of Google visits with an AI summary clicked a result, against 15% without. The click rate roughly halves.
Pew Research, July 2025of those visits clicked a source cited inside the summary. Being a footnote is not the same as being named.
Pew Research, July 2025lower click-through for the top-ranking page when an AI Overview appears, across 300,000 keywords.
Ahrefs, April 2025That was our own first report, not a mock-up. Most companies see a small number the first time, and that is the useful result: it shows who you are really up against, whatever your pitch deck says.
The check tells you whether the answer includes you, before you find out from the pipeline.
Your brand is withheld until the questions are written. The assistants are asked what a buyer would ask, not what your homepage says.
We find your site, read it and fill in the rest: brand, what you sell in a buyer's words, competitors, market. You check it and hit run.
Across the whole buying process, from “who does this” to “who should we trust”. The same questions for every company in the category, so scores compare.
Nothing runs until you click the link in your inbox. The assistants answer, the grid fills in, and the report lives at a link that stays yours.
Every report reads the same way, top to bottom. Every answer opens to the actual reply the assistant gave, dated, with its sources.
How many answers named you, out of every answer the assistants gave. A figure you can put in front of a board.
Buyer questions down the side, assistants across the top. In every cell, the company that assistant recommended, or nobody.
The companies that took the answers, counted. Your real competitors in the eyes of the assistants.
The directories, review sites and articles each assistant cited. Getting listed there is the fastest way in, because the assistants already trust them.
A short list, in order, specific to your grid. The first item is the one that changes the most answers for the least work.
The other nineteen are listed so you can see what buyers ask. The $29£24 report answers all of them on five assistants.
An answer first, the honest comparison, the questions people actually ask, and schema so assistants can read it. The page plan finds which of your pages are close, which need rewriting, and drafts one for your weakest question.
Bramblewood, Northlane and Kestrel all run outsourced cold email for B2B software companies in the UK. Bramblewood suits teams under twenty who want the whole thing handed off, from list building to replies; Northlane suits teams that already have a list and want copy and sending only; Kestrel suits larger teams that want their own SDR trained rather than an agency running it long term.
Is outsourced cold email worth it for a small team? Usually, once a founder is spending more than a few hours a week on it themselves.
How long before it works? Most teams see reply rates settle after three to four weeks of sending.
Made-up company. The shape is the point: the answer first, the options compared honestly, the questions people ask, and schema so engines can read it.
{
"@context": "https://schema.org",
"@graph": [
{ "@type": "Article", "headline": "Who does outsourced cold email for B2B software companies in the UK?", "about": "Outsourced cold email for B2B software companies" },
{ "@type": "FAQPage", "mainEntity": [
{ "@type": "Question", "name": "Is outsourced cold email worth it for a small team?", "acceptedAnswer": { "@type": "Answer", "text": "Usually, once a founder is spending more than a few hours a week on it themselves." } }
] }
]
}All three work. They differ in what you can see afterwards and what it costs to keep looking. We are the middle column, and we say so.
The free check and the one-off report ask AI assistants the questions buyers in your category ask, and show you their answers: who got named, which websites they cited, and what to fix first. If you then need daily numbers, a monthly tracker is the better buy, and we will tell you so. If you would rather someone did the work, we do that too.
Nothing is a subscription unless it says so.
Asking the assistants costs real money each time. Confirming means the check only runs for people who actually want it. Nothing runs until you click the link, and the report comes back to the same address.
No, and no question names a competitor either. An assistant asked about a named company will talk about it; a buyer without a shortlist does not ask that way. Your brand is withheld until the questions are written.
From your category, described the way a buyer would say it, following the AI visibility prompt research method (Elad Hefetz, MIT): a few buyer personas first, then the questions each would type into an assistant before choosing.
Close, not identical. Answers come from the assistants' application programming interfaces (APIs), which are a proxy for what a person sees in the app. Every assistant is asked the same question the same way, so the grid is comparable and repeatable.
Five: ChatGPT, Gemini, Perplexity, Claude and Google Search's AI answer (AI Mode or an AI Overview, whichever Google gives). Not Microsoft Copilot. The free check asks the first three; the full report asks all five.
Free checks are stored and may be used in aggregate research about which sources AI assistants cite. Paid reports are private to you and never used that way.
Get listed on the websites the assistants already read, publish answers to the questions where you were absent, and describe the company the same way everywhere. The report says which first. If you would rather we did it, that is the full audit.