Seeno for marketing teams
Somebody on your team will be asked why a competitor turns up in ChatGPT and you do not. This is the report that answers it with a number and a list of names.
Measured across ChatGPT, Perplexity, Gemini, Google AI Overviews and Claude.
What lands in the weekly report
Whether you were named
A rate across repeated runs, not a single lucky answer. Each weekly question is asked 2 times.
The names that took your place
The part the team actually discusses. It regularly includes a directory or a publication rather than a competitor, which is its own kind of useful.
The split by engine
Across 5 engines. Weak in one and fine in four is a specific, workable problem that an average would hide.
What the engines read
The cited sources, where the engine showed them. These URLs are the only part of the answer your own work can reach.
Where it sits next to rank tracking
| Rank tracking | AI visibility | |
|---|---|---|
| What the buyer sees | A list of links to choose from | A paragraph naming two or three brands |
| What can be measured | Your position in the list | Whether you are named, where, and next to whom |
| Stability | Broadly stable between checks | Varies run to run, which is why runs repeat |
| What you can act on | The page that ranks | The pages the engine cited while answering |
One thing to be careful about internally
When the number is bad, the pressure is to promise a plan that fixes it by a date. Nobody in this category, ourselves included, has publicly demonstrated that a checklist of fixes reliably raises visibility in AI answers. The answer is generated fresh each time, and there is no position to climb.
What you can commit to is the measurement, the competitor list, and work on the specific pages the engines cited instead of yours. That is a defensible plan. A guaranteed place in the answer is not one, and a vendor offering you one is telling you something about themselves.
If you want to see the output shape at scale first, the industry studies are open: published research. The measurement itself is described on AI visibility tracking.
Measure your brand this week
30 questions, 5 engines, free, no payment details.
Before you ask us
Does this replace our rank tracker?
Who on the team actually opens it?
What do we do with a bad result?
How big a plan does a single brand need?
The rest of the product, in plain pages
AI visibility tracking
What we measure, how a buyer question becomes a number, and what a report holds.
ChatGPT brand monitoring
How answers from one engine are sampled, and why a mention is not a citation.
AI competitor tracking
Who gets named when you are not, question by question.
AI visibility audit
A free first measurement. Thirty questions, five engines, no payment details.
Compare AI visibility tools
The market in one table: engines covered, who each tool suits, how it is priced.
Seeno vs Profound
Where each is stronger, written plainly and without invented numbers.
For agencies
Client workspaces, white-label reports and the plan that carries them.
Pricing
Every plan, every add-on and the service tier, in US dollars.