AI rank tracker
What the AI rank tracker does
This app reads an AI-generated answer you paste in and reports which brands and sources appear in it, and how they're positioned: named first, listed mid-pack, or referenced only as an afterthought. It's built around a question people increasingly ask before turning to a search engine at all, and it answers that question about one specific answer, not a live feed of anything.
It runs as a server tool. Your paste goes to our server, gets read once, and the breakdown returns to the page. 5 free checks in any rolling 24 hours, no account needed.
Set expectations first
What this app is not: a Google rank tracker
Worth stating plainly before anything else, because the name invites the wrong assumption.
- No search API
- This app never queries Google, Bing or any search index. It reads text you supply.
- No schedule
- There's no recurring check running in the background. Each analysis happens once, when you run it.
- No keyword position
- It doesn't report where a page ranks for a search term, because that isn't what it's measuring.
- No history graph
- There's nothing to log over time here. Each check stands on its own.
Workflow
How to use the AI rank tracker to check brand mentions in three steps
You need the answer in hand first; the app analyzes it, it doesn't fetch it.
- 1. Get an answer
- Ask any AI assistant a question relevant to your brand or category and copy the full response.
- 2. Paste and run
- Drop the answer in and press Analyze. It's sent to our server once and read for brand and source mentions.
- 3. Read the positioning
- Look at where each name sits relative to the others, not just whether it appears at all.
Why it matters
Why position in an AI answer matters more than a raw count
Two brands can both appear once in the same answer and mean very different things: one as the lead recommendation, the other tacked on at the end as a caveat. A plain mention count treats those identically. This app reports the position because that's where the actual signal is.
The absence of an expected name is a finding too. A brand with a strong market position that simply doesn't show up in an AI answer to a directly relevant question has surfaced something worth investigating on its own, and that gap is exactly the kind of thing a plain mention count would never surface.
Why results vary
Why the same question produces a different answer elsewhere
Different assistants pull from different training data and, for models that can search live, different pages at different moments, so the exact same question can come back with a different set of brands, in a different order, and a different framing entirely.
Even the same model can vary between two runs, since some generation involves randomness and live-search results can shift. A single check is a sample of one answer at one moment, and it's worth treating it that way rather than as a fixed reading.
That variability is exactly why a single check should be read as a snapshot rather than a settled fact about a model's habits. Two people asking a near-identical question an hour apart could reasonably paste in answers that name a different mix of brands, and neither result is wrong; they're just two separate samples of a moving target.
Straight answer
Does this replace an SEO rank tracker?
No. An SEO rank tracker checks keyword position in a search index on a schedule. This app checks one pasted AI answer, once, with no schedule and no index behind it. They're answering genuinely different questions and neither one substitutes for the other.
If you want a broader read on how your brand shows up across several AI answers, the honest approach is to run several separate checks on different questions and compare the results by hand. That's more samples, not a tracking service.
Who uses it
Who uses the AI rank tracker, and when
Same check, a few different reasons to reach for it.
- Marketing teams
- Checking how their brand actually gets described when someone asks an AI assistant a buying-relevant question.
- SEO teams
- Treating AI-answer visibility as a distinct question from traditional search rank, worth its own spot check.
- Founders
- Running a single answer a customer forwarded them through the app out of plain curiosity.
- Analysts
- Using positioning as one data point among several when researching how a category gets discussed.