Right now, a machine is answering for you.
The definition of exposure, in every sense of the word.
Before anyone who matters reaches you, a customer, a reporter, an investor, a recruit, a partner, a competitor, they ask an AI about you, and they trust what it says. It decides whether you are seen, whether what it says is true, and whether the deal quietly never opens. The AI Exposure Audit measures what the machine says about you, and gives you the tools to fix the sources it reads.
Not only seen. What they see.
The lawsuit belongs to a different company.
Exposure. Five conditions, and every one of them is now out of your hands.
ex·po·sure | noun
1 : the fact or condition of being exposed: such as
a : the condition of being presented to view or made known
b : the condition of being unprotected
c : the condition of being subject to some effect or influence
d : the condition of being at risk of financial loss
2 : the act or an instance of exposing: such as disclosure of something secret
Synonym: vulnerabilityFirst known use: 1605
Source: “Exposure.” Merriam-Webster.com Dictionary, Merriam-Webster.
Presented
Whether the machine shows you at all. Measured as Share of Answer, read at every stage of a real search.
Unprotected
What the machine says when it is tested. Read by hand and scored, because a true sentence can still be a weapon.
Influence
Who the machine trusts to describe you. Measured as the share you own against the share you do not.
Loss
The cost, in the plain language of the deal that quietly never opens.
Disclosure
What the machine discloses that you never chose to make public.
Exposure is the condition of being presented to view, of being unprotected, of being subject to an influence you cannot edit, of being at risk of financial loss, and of having something private disclosed. An AI assistant now delivers all five. It decides whether you are presented to view, and to whom. It decides whether you stand unprotected against what it asserts. It leaves you subject to an influence you cannot edit. In a sale, it becomes financial risk, the deal that never opens because a machine answered first. That is exposure, in every sense of the word.
Every other tool measures the first. The AI Exposure Audit measures all five, dates them, and hands you the record.
The window
Searchers see you through a pane of glass. A machine decides if that window is clean.
AI answers are the window a searcher looks through before they ever reach you. The standard visibility test asks one thing, are you seen in the window at all. That is the easy half, and it is where the crowded field stops. The harder question is whether the glass is clean. If it is dirty, a smear, a false story, a stranger’s record wearing your name, then what the searcher actually sees through it is not you. A company can stand plainly in the window and still be distorted by a dirty pane. Being seen is visibility. What they really see through the glass is your reputation, and that is what the AI Exposure Audit reads, and hands you what it takes to clean, or we can do it for you.
The stakes
A solar company lost 24.7 million dollars because a leading AI attached a stranger’s lawsuit to its name.
$24.7M
Documented losses in 2024 alone
$210M
The lawsuit that followed
$150K
One signed contract, gone in a single conversation
In 2024, Wolf River Electric began losing customers it had already closed. One signed contract worth 150,000 dollars was gone in a single conversation. The company had not changed its pricing, its people, or its work. Google’s AI told the people who looked it up that it was being sued by the Minnesota Attorney General for deceptive sales practices. It was not. The Attorney General had sued four other solar companies. The machine combined unrelated pieces, attached the wrong name, and published it with confidence, above the results, with no editor, no warning, and no right of reply.
Wolf River documented 24.7 million dollars in losses in 2024 alone. It is now in a 210 million dollar lawsuit against one of the most powerful companies in the world, one of the first cases of its kind. It will not be the last, because what happened was not a glitch. It is the new condition of doing business, and the confusion that caused it, a machine that cannot tell one company from another, is measurable.
Claims as alleged in Wolf River Electric’s complaint. Google denies the allegations. No outcome is predicted.
The question is not whether you could fight this. It is whether you would know in time.
Two lenses, one instrument
Reputation is seen through two lenses. Most tools only use the first.
The visibility lens
Are you present in the answer layer where people now begin? Can the machine find you, does it name you beside your competitors, and does your own front door speak for you when it does? This is the familiar half, done rigorously and benchmarked honestly.
The risk lens
When the machine faces the hostile question, the one a buyer, a reporter, or an opposing lawyer runs, what does it disclose, and where are you unprotected? This is the Exposure Core, and it is the reason the audit exists. It is read and scored by a crisis and reputation operator, not software, because judging whether an answer is merely thin or genuinely damaging is a human act.
The two are one instrument because they share a cause. The same weakness that keeps a machine from finding you is the weakness that lets it invent your founder and attach a stranger’s story to your name. Fix the foundation and you raise visibility and lower risk at once.
The human read
The read that matters most is the one only a person can give.
The mechanical layers, whether you appear and who gets cited, we count. The layer that decides you, what the machine says when it is tested, is read and scored by a senior crisis and reputation operator against a written codebook. No model grades the model. That judgment is the part a software vendor cannot ship, and the part a general counsel trusts. You are not buying a dashboard. You are buying the considered read of what a stranger is being told about you, from someone whose job is reading exactly that under pressure.
Every hostile answer lands in one of four bands, and each calls for a different response.
Favorable
The machine gives a buyer a reason to proceed. The ground you protect.
Hedged
Cautious, thin, qualified. No attack, but a buyer on the fence reads the hesitation and quietly looks elsewhere.
Exposed
Accurate or plausible, and usable against you. The core finding, and you cannot wave it off as a mistake.
False
Simply wrong, the invented founder, the lawsuit that was never yours. The most damaging, and once the source is named, the most fixable.
How it works
It starts with a conversation, not a scan.
Before we run anything, we sit down with you. Who you believe your real competitors are. What you want people to know about you. What you would want fixed first. Even where you think you are weakest. A generic tool scrapes and scores in the dark. This audit is aimed, built around your field, your risks, and the people searching about you, before the first question is ever asked.
60
Questions, four tiers
4
AI assistants, you choose
100%
Captured with sources, dated
We ask the questions people actually ask about you, sixty of them across four tiers, from the broad category question someone asks before they know your name, to the pointed one someone runs looking for a reason to walk away, on up to four of the AI assistants they use, and we bring back the evidence. Every run is fresh and logged out, on a documented date, captured in full with its sources, and benchmarked against a banded set of competitors chosen to make the comparison honest rather than flattering.
On the method’s honesty
A single check catches one roll of the dice. We run the dice enough times, under controlled conditions, on the record, to see the pattern the machine actually holds about you. Because the answer moves, we report frequency across repeated runs, we date every figure, and we treat the volatility as a finding rather than noise. That is the difference between a diagnosis a board can act on and an anecdote someone screenshotted on a Tuesday.
What you receive
Your Share of Answer
How often the machine names you when someone asks, benchmarked against named competitors.
Your Authorship Index
Whether your own site speaks for you when the machine describes you, or whether a source you do not control has taken authorship of your identity.
Your Misattribution Load
How often the machine reaches for the wrong you, a similarly named company, a different person, a rival.
The Exposure Read
Verbatim, timestamped capture of what the machine says under the hostile question, scored by a crisis operator on the four band scale.
The Divergence
How the answer, and the damage, change from one machine to the next, because it cannot be corrected in one place.
The Source Picture
The sources these systems actually cite in your category, and where you are absent from them.
A ranked remediation roadmap
Every fix tied to a finding and to the metric it moves, the fast corrections separated from the earned work.
A full appendix
Every query and every screenshot, built to survive legal and procurement review.
Two ways to work
Measure once, or stand watch.
Engagement one
Measurement Zero
We run the audit once and hand you the toolbox, every fix ranked and ready, for your team to make.
- One full audit, every metric and read
- Ranked remediation roadmap
- Your team makes the fixes
Engagement two
The Watch
We make the fixes ourselves and keep watching. What these systems say about you never holds still. The information you cannot control changes by the second, so the only way to know for certain what is out there is to keep measuring, the results improving over time, every fix checked and tuned as the answers move.
- We make the fixes ourselves
- Re-measured on a fixed cadence
- Every fix checked and tuned as the answers move
The promise
We detect it and date it. We do not promise to prevent it.
Nobody can order a correction from these systems, and anyone who says they can is selling you something. What can be done is change what they read, know the sources the answers come from, then measure again on a fixed cadence, so the next fabrication is caught while it is still small. That cadence is the only real defense against a Wolf River event. A one time cleanup is not the posture. Standing watch is.
What we protect
We will show you ours. We will never show anyone yours.
We ran the audit on Wordvision before we ran it for anyone else, because we needed to know our own exposure. We do not post it on this site, but we will walk you through the whole thing, findings, captures, and all, so you can see exactly how the instrument works and what you would receive before you commit to anything. Your audit is different. What we find for you is confidential and proprietary, the findings, the captures, the roadmap, and the data behind them are yours alone. We will never show your results to another client, a competitor, or anyone else.
The maker
Built by the operator you would want reading the answer.
The AI Exposure Audit is built and delivered by Wordvision Media. The read at its core comes from a senior crisis and reputation operator who has run communications under sustained national scrutiny, across a pandemic in 104 facilities, and inside a Fortune 500 energy company, and who spent a career before that as an award winning journalist learning exactly how a story lands before it is told. That is who reads what the machine says about you. Not a model. A person whose job has always been reading the hostile question under pressure.
If it has already started, you do not need a diagnostic. You need a phone.
jdesel@wordvisionmedia.comFind out before they do.
You cannot defend what you have never measured.
Let’s find out what the machine says about you.
Every engagement starts with a conversation, not a proposal. Tell us a little about your situation and we will respond within one business day.
What happens next
- 1
Jeremy reviews every inquiry personally.
- 2
You will hear back within one business day, usually sooner.
- 3
If there is a potential fit, we schedule a thirty minute discovery call. No pitch deck. No sales process. A conversation to understand whether and how we can help.
Already in it? Call. jdesel@wordvisionmedia.com