Independent measurement of how AI represents your brand.
Every finding is at 95% confidence and traced to the evidence behind it. From $4,000 for one market, delivered in 7 to 14 business days.
10 AI platforms · Every market and language read separately
Brands we've partnered with
THE MEASUREMENT PROBLEM
Ask the same question twice. The answer changes.
AI platforms are probability machines. The same prompt produces different brand lists, different rankings, different claims. Less than a 1-in-100 chance of the same result twice. The question is not whether your brand appears. It is how often, how accurately, and whether the number holds up when you ask again.
SparkToro / Gumshoe.ai
ONE PROMPT, ASKED FIVE TIMES
Run 1
1 Competitor 1
2 Your Brand
3 Competitor 2
4 Competitor 3
Run 2
1 Competitor 1
2 Competitor 2
3 Competitor 3
4 Competitor 4
not in this answer
Run 3
1 Your Brand
2 Competitor 1
3 Competitor 2
described with a claim you have never made
Run 4
1 Competitor 1
2 Competitor 2
3 Competitor 3
4 Your Brand
a competitor's attribute given to you
Run 5
1 Competitor 1
2 Competitor 2
3 Competitor 3
4 Competitor 4
not in this answer
Illustrative. The prompt: "best [product] for [use case]." Nothing about the brand changed between runs. Variance is a property of the system.
Presence
Relatively stable. A brand will continue to appear at a relatively consistent rate unless material changes occur with the sourced content or default models change. Generally reliable.
Rank position
Close to noise. Under a 1-in-100 chance of the same brand list repeating in the same order. Any tool reporting a fixed AI rank position is not measuring anything durable.
Sentiment and comparison
Directionally useful, but individually volatile. Best to trend it over time before acting. Never act on a single reading.
AIVO reports every finding as a range at 95% confidence. The range is what makes the number trustworthy.
WHO THIS IS FOR
For brands with something riding on the answer.
The Report answers one question: what AI platforms tell buyers about you right now, and how sure you can be of the answer. It matters most in six situations.
1
You need a number that holds up to scrutiny.
The number goes to a board, a CFO, a global leadership team. Monitoring tools give you a figure that moves. The Report gives you a figure with a stated confidence range, the sample behind it, and the evidence for every finding.
Public companiesPE-backed portfolio brandsFranchise & licensee systems
2
You rebranded, renamed, merged, or repositioned.
AI platforms learn a brand from years of accumulated text and do not follow a change quickly. Estimates put the lag at six to eighteen months. The Report shows which platforms have caught up and which still describe who you used to be.
Representation at home predicts nothing about representation elsewhere. Different sources carry weight in different countries, and the competitors in the answer change with them. The Report reads every market and language separately.
Global travel groupsInternational B2B softwareMulti-market beauty houses
4
You are entering into a new market or region.
The same reading, taken while the plan is still being written. We measure the market you are entering in its own language, so you know what AI already tells buyers there about you and about the competitors waiting for you.
US market entrantsCross-border DTCEMEA and LATAM expansion
5
You are launching something people research first.
Buyers ask an assistant before they ask you, and the answer shapes a shortlist you never see. The Report establishes what the assistant says today, so the work you do afterward has something to be measured against.
New cruise itinerariesHotel & resort openingsPrestige beauty & skincare
6
Something happened, and the record has not caught up.
Coverage of a difficult period outlives the period itself. The company moved on and the model did not, because critical coverage outweighs the resolution. The Report documents what is still being said, on which platforms, and from which sources.
Measured across AI platforms at 95% confidence · 7 to 14 business days from prompt-architecture approval
UNBOUNDED
The Rigor Guarantee
Any finding that fails to reproduce under our documented method, we correct free, with no time limit.
60 DAYS
Money Back Guarantee, up to 70%
One revision round included. If the deliverables still fail the documented spec, the refund follows. The retained 30% covers compute and API pass-through, and the raw data is yours to keep either way.
The Report delivers a decision-grade answer at a moment when the answer matters. For ongoing measurement, re-verification, and continuous advisory, we offer additional engagements built on the same methodology.
BUILT FOR MULTI-MARKET BRANDS
Where we measure. 10 platforms. Every market read separately.
A single global AI visibility score is an average of markets that behave differently. Different sources carry weight in different countries. Different competitors appear in the answer.
The Report is priced and produced per market, per language, per offering. Findings are reported separately, with their own confidence ranges.
Markets AIVO has measured in
We have delivered across North America, Latin America, Europe, and Australia. Other markets are scoped case by case, and where a read will be weaker we say so before you commit.
Published research across industries, countries, and languages updated every month.
Every other vendor measuring AI visibility also sells the remediation. Nobody in the category is acting badly. The structure just produces one answer, and it is available before the measurement runs.
WE DON'T sell you the fix.
Remediation is referred out, every time, without exception.
WE DON'T run a free scan.
One question on a probabilistic system produces a number we refuse to publish.
WE DON'T lock you into a dashboard.
You get the evidence, the method, and a read that leadership can trust.
THE USUAL ARRANGEMENT
Vendor measures your visibility
↓
Vendor finds a problem
↓
Vendor sells the remediation
↓
Vendor grades their own work
The measurement has a stake in the answer. A vendor inside this loop can never grade its own work and be believed.
OUR ARRANGEMENT
AIVO measures your representation and audits the source material
↓
AIVO reports what's true, what matters, and what to do about it
↓
Your teams and agencies act on it
↓
The remedy is never ours to sell
We are paid for the read. We are never paid for the remedy. Whatever we find, our incentive is the same.
The Report is our core product. We also deliver outcome measurement, ongoing advisory, and consulting for agentic commerce readiness, all with the same independence and rigor.
THE AIVO METHOD
Four stages to a decision-grade read.
A
Architecture
We learn what actually matters to your business, then size the sampling so every read stands at 95% confidence.
Yields
Prompt architecture · sampling design
I
Interrogation
We sample the platforms as a default user sees them and capture everything the answer reveals.
Yields
Raw packet (client keeps) · enriched dataset
V
Value-mapping
We turn that into a short list of what is worth acting on, in priority order, with targets that are realistic.
Yields
Executive read · 90-day roadmap
O
Operationalize
We hand your team the briefs and the measurement plan. The implementation is referred out, every time.
Yields
Workbook · briefs · PM plan · measurement
A
Architecture
We learn what actually matters to your business, then size the sampling so every read stands at 95% confidence.
Yields
Prompt architecture · sampling design
I
Interrogation
We sample the platforms as a default user sees them and capture everything the answer reveals.
Yields
Raw packet (client keeps) · enriched dataset
V
Value-mapping
We turn that into a short list of what is worth acting on, in priority order, with targets that are realistic.
Yields
Executive read · 90-day roadmap
O
Operationalize
We hand your team the briefs and the measurement plan. The implementation is referred out, every time.
Yields
Workbook · briefs · PM plan · measurement
Every stage resolves to 95% confidenceObserved rate + Confidence interval
AI Could Reach Their Content. It Just Couldn't Use It.
How a top-3 global beauty company discovered 74% of their sustainability claims weren't structured for AI, and where the correction had to start.
74%
Sustainability claims not AI-extractable
7,133
Citations analyzed for pattern benchmarking
1.87 → 2.67
Score lift from infrastructure fix alone
87%
Schema gap vs. top-cited competitors
The Gap
81 Pages. Zero AI Citations.
A top-3 global beauty company invested in 81 sustainability pages across 4 brands and 3 markets. AI could access every page and cited zero of them. 74% of claims were in narrative or badge-only formats AI couldn't extract. 86% of headings didn't match how consumers ask AI sustainability questions.
The Method
GEO Readiness Audit + Citation Benchmarking
AIVO scored all 81 pages across 6 AI readiness dimensions and evaluated content architecture against 7,133 citations from a 1,125-query benchmark study. Identified exactly which pages fail, why, and what the fix pattern looks like, backed by evidence from what AI actually cites.
The Results
What the read handed over.
Portfolio score lifted from 1.87 to 2.67/5 from a single infrastructure fix. Per-page content gaps mapped with specific actions. 7 pages identified one step from AI-Ready. Phased roadmap and content checklist delivered directly to the sustainability team, with no dev dependency for Phase 1.
“The content existed. The investment was real. But AI platforms read pages like a very literal researcher. They need declarative claims, structured headings, and visible dates. Without those, 81 pages of genuine sustainability commitment were functionally invisible to the AI systems consumers now ask for recommendations.”