AI already picks brands for your customers.
We check whether ChatGPT, Claude, Gemini, Perplexity and Copilot recommend you in the buying queries of your category — and we win back the sales you hand to competitors today.
Thank you — request received. We’ll get back to you within 1 business day at the e-mail provided.
Your customer asks AI. AI answers. You’re not there.
This isn’t a chart. It’s the moment the buying decision happens — and your brand isn’t in it.
Illustrative example — not a measurement of a specific brand.
What does it cost you that you’re not there?
Run the numbers on your own data. We don’t forecast sales — we show the scale of buying exposure AI isn’t sending your way today.
The query count is pure arithmetic on your data; the money figure depends solely on your own assumptions about conversion and customer value.
The full picture of how AI sees your brand during purchase decisions.
You can be a leader on Google — and at the same time not exist in answers from ChatGPT, Claude or Gemini. Customers ask AI who to choose; if it doesn’t name your brand, you lose the sale before they reach your site.
From a brand AI can’t see to the one it recommends.
Measure
Where AI recommends you — 6 engines, your category and industry.
Diagnose
Which queries, engines and cited sources leave you out of the answer.
Score
A single 0–100 score versus competitors in your category.
Recover
Human execution that wins back citations and lost sales.
By 2030 AI-driven commerce will reach $1 trillion in the US alone.
The question isn’t “if” — it’s whether AI will recommend you.
Why not Profound, Semrush or Ahrefs? Because they stop at the dashboard.
AI monitoring is a crowded tool market today — they all end at a chart. We start where they stop.
“Here’s the data, do it yourself”
- Shows a visibility chart
- You or your agency do the work
- You pay for access, not for results
- Easy to copy — everyone has a dashboard
“We show you and fix it with you”
- We tell you in how many buying queries you disappear
- Our people do the fixes: content, feeds, authority
- You pay for closing the gap, not for access to a dashboard
- Moat: execution a tool can’t do
Tools show the problem.
We win back sales.
When AI sums up a category in one answer, a brand has three states.
There’s no page two. There’s no “we almost made it.” A new distribution gatekeeper has appeared — the AI model — deciding who to show a ready-to-buy customer, based on what it knows about you.
The confident pick
AI names you as a recommendation. The only state that actually closes a sale in an AI conversation.
A footnote
You appear somewhere in the background — unnamed, as one of “the available options.” The customer still picks someone specific.
You don’t exist
AI recommends competitors and never mentions you. For this customer you don’t lose second place — you’re simply absent.
We ask AI exactly the way your customer does.
Hundreds of real buying queries from your category, sent to six AI engines. We don’t measure “do you exist online” — we measure whether AI leads a ready-to-buy person to you.
Category vs brand
Problem queries (“best product for…”) — the customer doesn’t know the brand yet and AI picks a winner. This is where you really win or lose sales.
Six engines
Each model answers differently and cites different sources. One run isn’t enough — we average so the result is directional, not random.
Lost queries → action
For every query where AI skips you, you get a concrete brief: what’s missing and what to do to show up.
We don’t leave you with a report — we recover sales with you.
A measurement shows where you lose sales. But a report alone won’t bring them back. We turn every lost query into concrete work — so AI starts recommending you where it recommends competitors today. This is done by people, not a dashboard. And that’s our edge a tool can’t copy.
Purchase-intent content
We write exactly what AI looks for when a customer asks “what to buy” in your category.
Data & feeds
We organize the product signals AI uses to build a sales recommendation.
Authority
We build the sources and citations AI trusts when choosing a brand for the customer.
Growth cadence
Monthly: we measure, fix, and report movement toward sales growth.
We describe the work, we don’t promise numbers. Sales growth is the goal of execution — measurement shows whether we’re getting closer.
Concretely — what lands on your desk.
The number: where you vanish
In how many buying queries in your category AI recommends competitors instead of you — a score across 6 engines, not a hunch.
List of lost queries
The specific questions where you’re absent, prioritized — what to fix first to recover the most sales.
Fixes delivered
Not a brief for the drawer. Our team does the work: purchase-intent content, product feeds, authority and citations.
Monthly trend
Whether the gap is closing. You see movement toward sales growth — not another chart without action.
A cosmetics maker — excellent, yet invisible where the sale happens.
A well-known brand. In brand queries — 100% presence. In category queries, where the customer asks about a problem rather than a brand — visibility dropped to a few percent. Highly visible by name, yet nearly invisible where purchase decisions are made.
- 100%presence in brand queries — when the customer already knows the brand name.
- 5%visibility in category queries CI — when the customer asks about a problem. Target: 30%.
- 10lost buying queries to recover — each with a ready brief.
Not a process — a product. One screen that shows where you lose.
After the measurement you don’t get a chart to interpret. You get the score, the lost queries, the sources AI cites instead of you, and the competitors it recommends.
- Competitor A — in 7 of 10 queries
- Competitor B — 5/10
- Competitor C — 4/10
- “best retinol cream”
- “anti-wrinkle cream 40+”
- “retinol for sensitive skin”
- Ranking portal — cited 9×
- Industry forum — 6×
- Review site — 4×
Illustrative screen — anonymized data.
How we compute the score.
No black box — but no spilling the recipe either. Here’s what we actually measure and how the 0–100 score maps to your brand’s level.
The score is a directional indicator on a category sample, not an absolute metric. The exact queries, weights and scoring model are our know-how — we show the result and what to do with it, not the code.
Honestly — what we don’t know yet
We don’t pretend this is measured and computed for every market. Most published “ROI proof” comes from tool vendors, not independent research — we read it that way. But the direction is consistent across sources no one suspects of bias: McKinsey, Bain, Adobe, OpenAI. Vis360 gives you a directional indicator on real AI answers — not an absolute metric. That’s enough to see where you vanish and start acting.
We’ll show you for free what AI says about your brand.
A free first measurement of your brand’s visibility — real AI answers to your category’s buying queries and a list of where sales happen today without you. No strings attached.
Measure my brand’s visibility — free ↑We reply within 1 business day. Your brand name and category are enough.