
An AI visibility assessment is a measurement of how AI engines describe and recommend your brand: which buying prompts you appear in, where you land in the answer, what engines say about you, which competitors get named instead, and which sources those engines read. It replaces anecdote with data.
Ask ChatGPT to recommend brands in your category and see if you're named. Now do it across a hundred buying prompts, four engines, and a month of answer variations. That's the difference between an anecdote and a measurement.
Most brands have precisely zero data on their AI presence. They don't know which prompts they appear in, how engines describe them, which competitors get named instead, or which sources the engines are reading. The AI Visibility Assessment replaces that blind spot with numbers.
We run tracked prompt batteries across the engines your buyers use, capture the sub-queries each engine fans out while answering, and score the result. You leave knowing exactly where you stand and exactly what to fix first.
Not "how's our AI presence" but "of the 25 prompts a buyer in our category asks, we appear in 4, ranked behind these three competitors." Specific enough to act on.
What engines actually say when they mention you. Strengths they repeat, weaknesses they flag, and the perception gaps worth closing. You'll see the exact language.
Who owns the answers in your category, on which prompts, and why. Sometimes it's content. Sometimes it's citations. The data says which.
The publications, directories and pages engines read when answering in your category. This becomes your outreach hit list, because being cited where engines read is how share of voice moves.
Insights into the current and future state of Shopify Plus commerce. Headless architecture, agentic commerce, integration strategy, and the engineering decisions behind stores that scale.
The assessment is fixed price and the backlog is yours to keep, whoever executes it. No lock-in, no report that's secretly a proposal.
It also slots into the bigger picture: brand-side visibility work runs as AI Search for Ecommerce or AI Search for B2B, the structural fixes are content architecture, and if you want your whole store scored for the agentic era, that's the Agentic Commerce Assessment.
An AI visibility assessment measures how AI engines describe and recommend a brand. It runs a tracked battery of real buying prompts across ChatGPT, Perplexity, Gemini and Google's AI results, then reports mention rate, position in the answer, sentiment, competitor share of voice, and the sources engines cite. The output is a score and a prioritised list of what to fix.
Mention rate and position across a battery of real buying prompts, sentiment (what engines say about you, good and bad), competitor share of voice, and the sources engines cite when answering in your category.
The engines your buyers actually use: ChatGPT, Perplexity, Gemini and Google's AI results, with prompt sets built for your category rather than generic queries.
This one measures visibility: how you show up in AI answers today. The Agentic Commerce Assessment goes wider, scoring AI discovery, product data and AI-led buying readiness across your whole store. Visibility is the natural first step; many brands run this, fix the gaps, then go deeper.
You get a scored report and a prioritised backlog you keep, whoever does the work. If it's us, fixes typically run through AEO and SEO or the platform retainer, remeasured monthly so the score is accountable.