AI rank tracker
What the AI rank tracker actually does
Paste an answer that an AI assistant already gave you, from any model, and the AI rank tracker reads it for which brands and sources it mentions and how they're positioned: named first or buried in a list, recommended outright or mentioned only in passing, cited directly or referenced without a link.
This is a server tool. The text is sent to our AI server, read once, and the result comes back to the page. 5 free checks in any rolling 24 hours, nothing stored afterward.
The name on the tin is honest but easy to misread, so it's worth saying plainly here: this analyzes one answer you paste in. It doesn't check a live model, doesn't run on a schedule, and doesn't track anything over time.
The problem
This is not a Google rank tracker, in plain terms
A search-engine rank tracker checks where a page lands in Google's results for a keyword, usually on a schedule, usually by querying a search API. This tool does none of that. It has no connection to Google, Bing or any search index, and it doesn't check position for a keyword at all.
What it checks is a different, newer question: when someone asks an AI assistant a question that used to start with a search, does your brand get named in the answer, and if so, how? That's the shift this tool is built around, not a replacement for SEO rank tracking, but an answer to a question SEO rank tracking was never built to answer.
How it works
How to use the AI rank tracker to check brand mentions in three steps
The answer has to already exist somewhere. Get it from the assistant first, then bring it here.
- Step 1
- Ask an AI assistant a question relevant to your brand or category, then copy the full answer it gives you.
- Step 2
- Paste the answer here and press Analyze. It goes to our AI server once and comes back with the brands and sources found.
- Step 3
- Read where each one sits: named first, listed alongside others, or mentioned only as an aside. That positioning is the actual finding.
Why it matters
What analyzing a single AI answer actually reveals
A raw mention count misses the part that matters. Being one of six names in a flat list reads very differently from being the answer's lead recommendation, and a plain count treats those the same. This tool reports the position, not just the presence.
It also reveals absence, which is its own finding. A brand that's the obvious market leader by every traditional metric and simply doesn't appear in an AI answer to a directly relevant question has learned something a search-rank report would never have surfaced.
Why it varies
Why the same question gets a different answer from model to model
Different assistants draw on different training data, different retrieval methods and different house styles for structuring an answer, so the same question put to two models can surface different brands entirely, in a different order, with a different tone.
Even one model asked the same question twice can vary: some responses are generated with an element of randomness, and a model that can search live will sometimes pull a different set of pages into the same answer. Treat any single result as a sample, not a fixed fact about how that model always answers.
Straight answer
Does this track my ranking the way an SEO tool does?
No, and it's worth being direct about that rather than letting the name imply it. There's no schedule, no history, no keyword tracked over time, and no API call to a search engine anywhere in this tool. Every result is a one-off read of the specific text you pasted in.
If you want to see how your brand appears across several questions or several models, the honest way to do that here is to run several separate checks and read them side by side. That's still not monitoring; it's just more samples.
Who uses it
Who uses the AI rank tracker, and when
One check, a handful of different reasons to run it.
- Marketing and brand teams
- Spot-checking how their brand gets described in an AI answer to a question a prospective customer might actually ask.
- SEO and content teams
- Getting a first read on AI-answer visibility as a separate question from traditional search rank.
- Founders and small teams
- Checking a single answer that a customer forwarded them, screenshot or copy-paste, out of curiosity about how it reads.
- Researchers and journalists
- Analyzing which sources a specific AI answer leaned on, as one piece of evidence in a larger question.