Stage30™ tests how your brand message
holds across AI search.
Four AI engines read four different copies of the web, and they all hold different versions of your company. That’s because a language model never reads your brand whole. It reads in tokens, not words, in whatever order it discovers them across the web.
Stage30 reads your entire web surface with a proprietary forensic layer measured against a canon of 649 written rules. We show you where your messaging holds, and where it comes apart. Then we fix it.
Free. No email, no card. About a minute.
AI reads your whole footprint, not just your homepage
When AI answers a question about your category, it pulls from everything it can verify. Your site, yes, but also Reddit threads, review platforms, Wikidata, directories and trade sources. Your report shows the exact sources AI used to decide who you are, so you see your reputation the way the machine sees it.
Run it on the engines your buyers already use
Enter one URL and see how ChatGPT, Perplexity and Claude each answer your buyer’s real question. Three engines, three answers, quoted in full. Every one comes back with a resolution score and the sources behind it.
Run the free reportThree layers of being found
Search engine optimization gets you onto the list of ten blue links, where the buyer still has to pick.
Generative engine optimization gets your content quoted inside the AI answer, one source among several.
Stage30 structures what the web says about you, so an engine can work out who you are and say it without hedging.
What you get for a URL and a minute
- Three answers, quoted in full. ChatGPT, Perplexity and Claude are each asked your buyer’s real question, live, and every answer is printed word for word rather than summarized. Most tools charge for one engine, and the ones that name four rarely tell you which of them actually answered.
- Whose name came back. Who each engine named, in what order, and whether you were in the answer at all.
- A resolution score out of 100, and the band it sits in. One number with the five measured layers under it, and the range the same page can read across repeated runs.
- The sources behind each answer. Every page the engines drew on, with the publisher of each one named, so you can see whose material is describing you.
- What each engine reads, and what moves it. One card per engine: where it gets its results, whether it can reach your site, what it rewards, and how hard it is to move.
- Two fixes, named and priced. The two highest-leverage fixes this run found, with the evidence that fired each and what they cost. The rest are counted, not named.
What people ask us first
Why doesn’t AI mention my brand when someone asks about my category?
Usually because there is not enough on the open web that a machine can verify about you. An engine answering a category question builds the answer from everything it can check, and it picks the brand it can resolve: the one it can name, source and repeat without hedging. If the only material about you is on your own site, and most of that site is code rather than readable text, there is very little for it to work with.
Why does ChatGPT recommend my competitor instead of me?
Because it found more about them that it could check. An engine builds a recommendation from the sources it can reach, and it names the brand it can name without hedging. Your competitor is usually not doing anything clever. They are present in the places the engine reads, and you are present mainly on your own site. The useful move is to find out which sources the engine pulled them from and whether you appear in any of those sources at all. One run is also not a verdict: ask again tomorrow and the answer can move, which is why every reading Stage30 publishes carries its date and time.
Is AI search the same as SEO?
No, and the difference is the list. SEO competes for a position on a page of links, where the buyer still chooses. AI search returns one answer, often with no list at all, so there is no second place to be. A site can rank first on Google and go unnamed by every AI engine, and Stage30 sees it on real runs.
How do I know if ChatGPT is actually mentioning my brand?
Ask it your buyer’s question, more than once, and write down what came back. Asking once is an anecdote. The engines build each answer fresh, so the same question can name you on Tuesday and skip you on Wednesday. A reading is a set of runs, each one dated. Stage30 puts the question your buyer would type to three engines and quotes each answer in full, so what you are reading is the answer itself rather than a score standing in for it.
Is the Stage30 report really free?
Yes. Enter a URL at stage30.com and Stage30 puts your buyer’s question to three engines, live. The report gives you that question, generated from your own page, and quotes each engine’s answer in full. It names who came back instead of you. The score is out of 100, split into the half that moves between runs and the half that comes off your own pages and holds still. Every source the engines read is linked, so you can open the page that decided it. Stage30 counts the findings on your live site and prices the fixes. No email and no card. The paid step is the $500 Resolution Audit, which opens every finding, prices each fix, puts them in order, and ends with thirty minutes on a call.
What does the Resolution Audit cost, and what do I get?
The Stage30 Resolution Audit is $500, once. You get every finding the free report counted but did not open, each one priced and ordered by what moves the answer fastest, and thirty minutes with the two strategists who wrote your report. You leave with the plan in plain language, yours to keep. Your team can run it, or we can. If we find less than $500 of work worth doing, we tell you that instead.