Research from the field.

Most tools will tell a business whether it showed up in an AI answer, and that sounds useful until you realize showing up and getting picked are two completely different things, which is the harder question the ARO Index actually asks: when a real buyer asks ChatGPT, Claude, Gemini, or Perplexity for a recommendation, who does the AI choose?

The mechanic is simple to explain, it's just genuinely hard to do well.

You take a business, you take a real buying-intent query, the kind a customer actually types when they're ready to spend money, "best HVAC company in Mount Pleasant" and not just "HVAC," and you put that exact query to all four of the major AI models and record what each one does, whether it recommended the business or skipped right past it, how high it placed it, and how consistent that answer stayed across all four. That consistency is the part that matters most, because one AI saying yes is noise, four AIs agreeing is a signal, and the gap between them is where the real story lives. The ARO Score is the single number that falls out of all of it, one read on how consistently AI selects a business when a buyer is ready to act.

Here's what the Index is not. It is not a mention counter, because being named in a paragraph is not the same as being recommended, and it is not a site-readiness checker that predicts how you might do someday, because it only watches what the models actually did. Predictive tools guess. The Index observes.

That distinction is the entire point, because everyone else is measuring whether you appeared, and the Index is measuring whether you were chosen.

This whole thing started as a question I could not let go of, which was whether AI would actually recommend a small business over a big one, not in theory and not as a nice idea, but specifically, like if someone asked ChatGPT for the best option in their town, would the local shop doing the better work actually show up, or would the model just hand the answer straight to whoever already had the biggest footprint and call it a day.

So I started checking, by hand, one business and one query and four models at a time, writing down whatever came back, and it was ridiculous, I was doing it manually like some kind of spreadsheet hermit, and it did not scale past about the third afternoon before I knew I had to build the thing properly, but the answers were interesting enough that stopping was never really on the table.

The obsession had a reason sitting underneath it, which is that small businesses are about to compete in a place most of them don't even know exists yet, because when a customer asks an AI instead of scrolling through Google, a brand new gatekeeper quietly decides who gets seen and who doesn't, and if nobody is measuring that, then small businesses are flying straight into it blind while the big players already have teams in a room somewhere figuring it all out, and the local shop has nobody.

I wanted everyone to be able to see it, not a guess, not a sales pitch dressed up as a score, but an actual measurement of what AI does when a real buyer asks. That's what the Index turned into, and it outgrew the by-hand stage fast, but the reason behind it never changed, I built it because I wanted to know, and then I wanted everyone else to be able to know too.

Honest status, because honestly that's the only kind worth publishing.

The Index is early and it is seeded, and here's exactly what that means, no spin on it. To get businesses into the Index in the beginning, the field got built from existing search presence, meaning businesses were surfaced from where they already ranked and then run through the audit, which was the fast way to get a real foundation in place, and it works, and it got the whole thing off the ground when it needed to get off the ground.

It also means the current picture skews favorable, because a field built from businesses that already have a web footprint is, by definition, a field of likely performers, so the recommendation rates are running high right now because of how that field got assembled and not because AI actually recommends everyone, and that number is going to move as the Index fills up with the real mix, the businesses running their own audits, the client work, the owners who genuinely want to know where they stand instead of where they hope they stand. The seeds were the starting line. They were never the baseline.

So why publish any of this before the baseline is clean? Because a research source earns trust by showing the work, including the parts that aren't finished yet, and anyone can sit on their data until the numbers flatter them, but this is being built out in the open where you can watch it happen.

One finding already holds even on a seeded field, which is that the four AI models do not agree on who to recommend, because looking at the very same businesses they keep reaching different conclusions, and whatever shaped that field shaped it equally for all four of them, so the disagreement between the models survives the seeding completely intact. That part is real, and it's the exact thread the next volume picks up.

This is the Seed Edition. The real numbers are coming as the Index fills with the real mix. Run your audit now to be part of the data.