Free tools

Which sites do AI models confuse you with?

Give us your brand and the domain you own. We ask a grounded model about you and then check the citations: if it names you but links a look-alike domain, that is entity confusion — and you will see exactly which hosts are taking your place.

Brand name

Your domain

Use the domain you own — every citation in the answers is checked against it.

100% Free
Instant
No sign-up

How the check works

Name your brand and domain
The domain is the one you actually own — every citation in the answers is checked against it.
We run grounded prompts
A model with live search answers a small set of questions about your brand, citing sources as it goes.
We check citations, not words
Naming your brand is not enough. If the sources point at look-alike hosts, we report confusion rather than a clean mention.

Why it matters

Why a mention can still cost you the visit

Mention counting makes entity confusion invisible. Checking the cited hosts is the only way to see it.

A mention is not a citation
A model can describe you accurately while sending every reader to somebody else's domain.
Look-alikes inherit your reputation
Sibling domains and near-matches absorb the traffic and trust your brand earned.
Scores hide the problem
A visibility number that counts mentions will read a confused answer as a win.
It responds to structured signals
Unlike raw visibility, entity confusion is fixable with explicit, machine-readable identity markup.

The fix

How to make your identity unambiguous

Five concrete changes on the domain you own, in the order they pay off.

Publish Organization JSON-LD
Put your legal name, canonical URL and logo into structured data on the domain you own.
Add sameAs links
Point at the profiles that already rank for you: Wikidata, LinkedIn, GitHub, Crunchbase.
Claim a Wikidata item
Knowledge graphs are where models resolve "which company is this?" before they cite anyone.
State the domain on your About page
In plain sentences a model can quote, not only as a link in the footer.
Keep one canonical host
Redirect the variants you own to a single domain instead of serving all of them in parallel.

Check your overall AI visibility

Want the full visibility stack?

Tools are just the start — track visibility over time in GetCited.me.

Start free scan

What counts as confusion?

The model names your brand, but the sources behind the answer point at other hosts — sibling domains, near-matches or unrelated sites with a similar name — and not at the domain you own. That is reported as a mismatch rather than a clean mention.

Why only a few prompts?

Each prompt is a grounded model run with a real cost, so the free check uses a small sample. It is enough to reveal a systematic confusion pattern, but not to measure visibility over time.

My brand was not mentioned at all. Is that worse?

It is a different problem. Confusion means you are known but mis-linked; not being mentioned means the model has nothing to say about you yet. Start with visibility and structured identity signals.

How do I fix it?

Publish Organization JSON-LD with sameAs links on the domain you own, claim the matching Wikidata item, state your canonical domain in prose on your About page, and redirect any look-alike domains you control to that one host.