What is an AI visibility check?

An AI visibility check measures whether your brand is named when buyers ask AI engines which tool to use in your category. Lucreya runs your category's real buying-intent queries across ChatGPT, Perplexity, and Google AI Overviews, records which engines name you and which do not, and reports your mention rate, your share of voice against the rivals the engines actually name, and a per-engine Engine-Consensus flag, all dated to a snapshot. It uses the open AECI method published as the CONSENSUS Protocol.

Is this an instant automated tool?

No. To be honest about it: this is currently a hand-run audit by our team, not an instant self-serve tool. You submit your brand, your competitors, your category, and a work email, and we run the queries across the engines ourselves and send you the report. There is no fabricated live score on this page.

What does the AI visibility report include?

Your mention rate (how often the engines name you on your category's buying-intent queries), your share of voice versus the specific named rivals the engines recommend instead of you, and which engines cite you versus which leave you absent, expressed as a per-engine Engine-Consensus flag with a snapshot date.

How much does the AI visibility check cost?

The initial audit is the entry point to a conversation, not a paid product with a fixed price on this page. If you want ongoing monitoring and placement work after the audit, that is the GEO monitoring retainer, which sits in a typical mid-market range; we frame pricing honestly on the retainer page rather than quoting a fixed number here.

AI visibility check · GEO

Run the CONSENSUS Protocol on your brand

When a buyer asks an AI engine which tool to use in your category, are you the answer, or is a rival? An AI visibility check measures exactly that. We run your category's real buying-intent queries across ChatGPT, Perplexity, and Google AI Overviews, using the open AECI method, and send you a report: your mention rate, your share of voice versus the rivals the engines actually name, and which engines cite you versus leave you out.

Plain about how this works: this is currently a hand-run audit by our team, not an instant self-serve tool. There is no live score on this page and we do not generate a number on the spot. You submit your brand, your competitors, and your category below, and we run the queries across the engines ourselves and email you the report. The method is open and published as the CONSENSUS Protocol, so you can reproduce every step by hand if you prefer.

What you get back

Your mention rate

How often the engines actually name you across your category's buying-intent queries, with the queries listed so you can rerun them.

Share of voice vs rivals

Your mention rate expressed against the specific competitors the engines recommend instead of you, not an abstract percentage.

Which engines cite you

A per-engine read: are you the consensus answer, a single-engine dissent, or absent? Each reading carries a snapshot date.

How it runs

1.: You submit your brand, your category, your closest named competitors, and a work email below.
2.: We write your category's real buying-intent prompts and run them across ChatGPT, Perplexity, and Google AI Overviews by hand.
3.: We record which engines name you, score your share of voice against the named rivals, and apply the Engine-Consensus flag.
4.: We email you the report, dated to the snapshot. No black-box blended score, just the four states applied to your real prompts.

Want the method first? Read the CONSENSUS Protocol, the open 8-step standard this audit runs on.

Request your AI Visibility report

We run audits in the order they come in. Give us your closest rivals and we will tell you where you stand against them.

Already know you need ongoing eyes on this?

AI answers shift fast, so a single audit is a dated snapshot, not a permanent reading. If you want continuous monitoring of your AECI and share of voice over time, plus the off-page and structural work to get cited where you are absent, that is the GEO monitoring and placement retainer.

See the GEO monitoring retainer ›