Free AI Visibility Tool

Does AI Actually Know Your Brand?

Enter your brand and your money keywords. We ask AI models the exact questions your buyers ask at decision stage - "alternatives", "vs", "pricing" - and show you whether your brand is named. If you're not there, that's a pipeline problem you can fix.

Free check: 1 keyword, 1 model, no email. Full report: 3 keywords across 3 models + shareable report - unlock with your email.

Honest methodology: this checks whether open-weight AI models (GLM, Qwen, Llama) name your brand from training data when answering the decision-stage questions buyers type. It does not observe live ChatGPT / Perplexity / Gemini / Claude answers - that measurement is part of the paid GEO audit. If the open models don't know you, the frontier models almost certainly don't either.

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Buyer-query probe

We test the queries that drive vendor selection - "alternatives", "vs", "pricing" - not vanity brand terms.

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Per-keyword verdicts

See exactly which money keywords you're invisible for, with the model answers as evidence.

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Plain-English why

Not just a score - a summary of what it means for your pipeline and what to fix first.

Your full report is ready to unlock

Free check shows one keyword on one model. The full report checks all your money keywords across three models and saves a shareable link you can send your team.

No spam, no sales sequence. The email is how we send your shareable report and your weekly Model Memory Monitor digest if you opt in.

Probing AI model memory

Checking your brand across decision-stage queries...

Building the buyer queries for your category

Asking open-weight models to answer them

Checking whether your brand is named

Writing the plain-English verdict

Get the full GEO audit → Run an Extractability Audit instead

Track this every week

Get a weekly digest of whether AI models cite your brand for your money queries - and when it changes. Free while we're in beta (100 subscriber cap).

Unsubscribe anytime with the link in every digest.

How this works

What exactly are you measuring?

We ask open-weight AI models - GLM, Qwen, and Llama, running on Cloudflare's free Workers AI tier - to answer the decision-stage queries your buyers type ("X alternatives", "X vs Y", "best X for ..."). We then check whether your brand name or domain appears anywhere in those answers. If it does, AI "remembers" you for that query. If not, you're invisible to that model for that query.

Does this tell me if ChatGPT cites me?

No, and we don't pretend it does. Live ChatGPT, Perplexity, Gemini, and Claude answers require paid API access to those platforms - that's what the paid GEO audit measures. What this free check tells you is whether your brand exists in the training-data memory of open models at all. If it doesn't, frontier models that browse the same indexed web almost certainly won't surface you either. It's the cheapest possible early-warning system.

Why decision-stage queries instead of my brand name?

Because brand-name searches ("Acme pricing") are trivially easy to win - your own website answers them. The queries that actually drive vendor selection are category-level: "marketing automation alternatives", "CRM vs HubSpot", "best sales platform for mid-market". Those are the ones where the model chooses whom to name, and where most brands disappear.

What if the full report needs my email?

The free check (1 keyword, 1 model) needs nothing. The full report - all your money keywords across three models, with evidence snippets and a shareable link - is email-gated. That email is how we send you the report and, if you opt in, the weekly monitor digest. No spam, unsubscribe anytime.

I'm cited. Does that mean my content strategy is fine?

Being named is step one. The bigger question is what the model says about you - whether the answer reflects your actual positioning, pricing, and differentiation. That's the extractability and competitive-gap work. If you're named but described wrong, you have a positioning leak, not a visibility win.