What a Machine Score Actually Checks (and Why It Is Not an SEO Audit)
It is not an SEO audit and it is not a website review. It is a look at whether your marketing operations are legible to machines and whether any of it runs without you.
People ask me what the Machine Score looks at, and they usually expect the answer to be search rankings. It is not. Rankings are a lagging symptom. The Machine Score looks at the causes underneath them, and it asks one blunt question in five different ways. Can a machine read your business, trust it, answer with it, measure it, and run part of it without you. If the answer is no, no amount of clever copy or ad budget fixes what is actually broken.
I spent fifteen years building software before I ever wrote a marketing plan, so I look at a company the way an engineer looks at a system, not the way an agency looks at a campaign. Here is what that means in practice.
1. Can a machine read you
The first thing I check is whether your site is legible to a machine that has three seconds and no patience. That is structured data, clean markup, a crawlable architecture, and an identity a parser can extract without guessing. Most sites I score have marketing copy a human loves and a machine cannot categorize at all. When an AI answer engine assembles a response, it reads the machine-legible sources first. If your site is a beautiful blob to a crawler, you are invisible before the writing even starts.
2. Does your identity agree with itself
The second check is corroboration. Your name, your category, your location, and your claims should say the same thing everywhere they appear, on your own site, in your profiles, in the directories and third-party pages that mention you. Retrieval systems weight agreement and discount contradiction, because a system that recommends a wrong or outdated fact looks broken. I have watched companies lose the answer slot not because a competitor was better, but because their own footprint disagreed with itself and the machine played it safe. Consistency is not housekeeping. It is a ranking signal.
3. Are you answering the questions buyers actually ask
The third check is whether you have any content that answers the real questions your buyers type, as opposed to the keywords a tool told you to chase. The queries that decide a sale are specific and unglamorous. How does this work, what does it cost to switch, is this right for a team my size. AI answers pull from pages that address those questions directly. A site with a thin services page and no substance feeds nothing into that pipeline. The company that answers the question in plain, specific language becomes the page the model quotes, and the citation is the new front door.
4. Does your measurement tell you the truth
The fourth check is analytics, and this is where I spend more time than people expect. AI answers and zero-click results have quietly broken the dashboards most companies still trust. Sessions look flat while the buyers who used to click are now getting your answer without ever landing on your site. If your measurement counts the wrong things, every downstream decision inherits the error. I check whether your analytics reflect how buying actually happens now, or whether you are steering by a gauge that stopped working two years ago.
5. Does any of it run without you
The last check is the one that separates a marketing system from a marketing hobby. How much of your marketing operation runs when you are not personally pushing it. Most companies own a pile of tools that each require a human to remember to use them. That is a stack, not a system. I look for the automations, the handoffs, and the standing processes that keep working while you sleep, because the leverage is not in owning more tools, it is in wiring the ones you have into something that runs itself.
What you get
The Machine Score is not a pitch dressed up as a favor. You get a ranked list of exactly what is broken across those five dimensions, what it is costing you, and what it would take to fix, in priority order. Some companies take that list and hand it to their own team. Some ask me to install the fixes. Either outcome is fine, because the value is in seeing the machine clearly, which almost nobody does until someone shows them.
How to start
If you want to know where you stand before you spend another dollar on marketing, that is what the Score is for. You can also do a rough version yourself in ten minutes. Open an AI answer tool, ask it what it knows about your company and your category, and watch how confidently it gets you wrong. That gap, between what you are and what the machine can see, is the whole game.
William Hunt
Hunt and Machine, ryan@huntandmachine.com