Be the name AI gives your next customer.
We measure what eight AI engines say about your business every month, fix what they get wrong, and show you the results in the engines' own words. Run the fixes yourself from our briefs, or have us write and ship them for you: same system, two ways to work.
We run your measurement before the call. The demo opens on your own map.
Example questions and results, not client data. This is the exact format your real map takes.
The engines answer confidently.
Even when they are making it up.
Across the businesses we measure, the engines have already produced 48 flatly wrong claims, each one caught and sent back with a fix plan. Not typos. Whole identities. Three of them, anonymized:
Two of these businesses scored zero percent AI visibility on every buyer question, while the engines proved they knew the businesses existed. Invisible, and misdescribed. Nobody told them.
Read all 48, in the engines' own words Anonymized, no signup, nothing held back.
See one full month, start to finish.
The questions we put to the engines, the answers they gave back word for word, a wrong claim traced to the page that caused it, and the next measurement checking whether it stopped. Real product screens, not a mockup.
Real product screens with confidential details blurred; the receipt scene uses a sample client.
Measure. Diagnose. Fix. Prove.
A closed loop, run every month.
Tracking tools sell you a dashboard and wish you luck. This is a documented loop, run every month. We always measure; the fixing is yours or ours by plan; your approval gates everything that ships.
Measure
We ask all eight engines the 12 to 20 questions your real buyers ask, several times each, and score who gets named: you or your competitors. Share of voice, per question, per engine.
Diagnose
Every lost question traced to the sources the engines actually cited. Branded control questions audit what engines claim about you directly, and every wrong claim gets a root cause and a written fix plan.
Fix
The corrections and pages engineered for AI retrieval get written from verified facts only. On DIY plans your team writes them from our copy-ready briefs. On the done-for-you plan we write them and you approve every word in the portal before anything publishes.
Prove
Next month leads with what the engines stopped getting wrong and where you became visible. Your GA4 numbers, AI referred sessions and conversions, sit right next to the map.
Step 3 is the only one that changes shape: your writer can run it from our briefs, or we can write and ship it for you. We will show you both on the demo and tell you which one your situation actually needs. The rule holds either way: the system produces drafts and measurements, people approve what publishes.
What you see
when you log in
Your score, your map, every wrong claim, and the work in flight to fix it. Step through the views below. In the live portal, every cell opens the engine's answer, word for word, timestamped.
Overview1 of 8
The month at a glance: your share of voice, where you are named, what shipped, and what your competitors changed. Trend lines build with every monthly cycle.
This month
What your competitors did this month
Bayview PT took “does insurance cover physical therapy” on ChatGPT after publishing an insurance FAQ page.
CoreCare entered the map for the first time, named by Gemini on one question.
Shipped work and score changes land here month over month.
Northshore Physical Therapy is a sample client with illustrative numbers. Your portal reports your own measurements.
Your Context Ledger:
the file the work compounds into
Ask any AI tool to write about your business and it knows exactly what you remembered to paste into it. The Context Ledger is the opposite. It is a verified record of your business, built once and added to every month, and everything we write for you is written from it: every correction, every brief, every piece of schema markup on your site.
This is the honest answer to “why not just do it ourselves.” Anyone can prompt an AI tool. Nobody else has your business written down the way eight engines have actually described it, corrected every month, with the receipts attached.
Where a measurement
becomes a published page
This is the middle of the loop, and the part tracking tools leave out entirely. A lost question becomes research, research becomes a draft grounded in your verified facts, a person edits and checks it, you approve it, it ships. Then next month the engines get asked again and the map grades it.
Running content properly usually means three more subscriptions: a term research tool, a brand voice platform, and a tracker to see if any of it worked. That work arrives already done.
Live research on the question you are losing. A draft written only from the verified facts in your Context Ledger, so it cannot contradict your own record. A human edit with every claim checked against a named source. A voice pass. FAQ structured data. Your approval in the portal. Publication on your site.
Then the part nobody else includes: next month the engines get asked your questions again, and the map shows whether the page moved anything. We grade our own work in front of you.
Tool prices are published vendor list prices as of July 2026 and change often; verify current pricing with each vendor. Plenty of teams use those tools well. The point is that you should not need to buy, learn, and reconcile three subscriptions to run one content loop.
See how this works
for a business like yours
Patients, donors, registrants, and local buyers all ask AI different questions, and the engines fail them in different ways. Each page shows the questions we track for organizations like yours and the wrong answers we have already caught. Pick yours.
Healthcare Practices
Patients ask ChatGPT and Perplexity before they ask their doctor. Wrong locations, invented practitioners, and confused specialties erode patient trust before the first call.
AI visibility for healthcare practices →Mental and Behavioral Health
Many patients search privately, asking AI instead of asking friends. If the engine recommends a competitor or describes your practice incorrectly, you never know the patient existed.
AI visibility for mental and behavioral health →Nonprofits and Foundations
Donors ask AI where to give and which organizations serve a region. If the engine confuses your mission with another organization, donation intent goes elsewhere.
AI visibility for nonprofits and foundations →Training Institutes
AI is now a course catalog. Professionals ask it for certifications and CE workshops, and the engine lists the programs it favors, accurately or not.
AI visibility for training institutes →Local and B2B Services
Buyers ask AI for recommendations in every category, from flat fee real estate to wineries. The businesses the engine names get the call. Everyone else never hears the phone ring.
AI visibility for local and b2b services →Real Estate Agents
Buyers ask AI for an agent, not a brokerage, and the engines answer with names. We measure which agents AI recommends in your market, including the ones nobody is watching, and build your name into the answers.
AI visibility for real estate agents →Individual Practitioners
Therapists, doctors, lawyers, financial advisors: in your field, you are the brand. AI recommends people by name, and we measure whether yours is one of them, everywhere clients ask.
AI visibility for individual practitioners →This is the measurement,
every single month
Every answer is kept, timestamped, and readable in your portal, which is why every cell on your map has a receipt behind it. One client's AI-referred traffic reached 860 sessions in a single month, tracked in GA4 next to the conversions it produced. Reported as measurements, never as promises: results describe specific measured businesses and are not a guarantee of similar outcomes.
“API responses approximate but do not exactly match consumer app answers; we report these numbers as trend and share of voice comparisons, never as absolute truth.”
Our promise, printed on every page and every report
- Single month moves are noise. Real trends take a quarter.
- Going from invisible to visible typically takes 60 to 90 days after indexing.
- Engines retrieve and cite sources. We publish pages built for retrieval, and the next measurement tells us whether it worked. Placement is never guaranteed, by us or anyone.
AI visibility, answered directly
What does ChatGPT say about my business?
Most businesses have never checked. Across the businesses we measure, the engines have produced 48 flatly wrong claims, including complete identity swaps, and two businesses scored zero percent AI visibility on every buyer question their customers ask. The measurement answers this question with evidence, not a guess: your questions, eight engines, the answers kept word for word.
How do you measure what AI says about a business?
We ask eight engines (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews, Google AI Mode, Copilot, Grok) the 12 to 20 questions your real buyers ask, several times each, every month. We score who gets mentioned, cited, and recommended versus your named competitors: share of voice per question per engine, on a battle map you can read at a glance. The panel stays fixed month to month, changes versioned and never silent, so the trend is comparable.
Can you correct wrong AI answers about a company?
Yes, but not by asking the engines to change. There is no edit button. Engines retrieve and cite sources, so the fix targets the sources each engine actually cites: structured data, business profiles, and pages engineered for AI retrieval. The next measurement confirms whether the engines stopped making the claim, and we do not claim a fix worked until it shows.
Can our own team write the content?
Yes, and the product is built for it. Every question you are losing can become a copy-ready brief: the target question, who holds it today, which sources the engines cite, and every verified fact from your ledger. Your writer ships it in their own tools, and we measure whatever you publish. If you would rather we write it, that is the done-for-you plan: same briefs, our authorship, your approval on every word.
What does the AI Visibility Engine cost?
It scales with how much of the work you want to hand over: measurement only, where your team does the fixing from our briefs, through to done for you, where we write and ship and you approve every word. We price it on the demo against your actual map rather than a rate card, and it is shaped for small and mid-size organizations. Full agency partnerships that add technical SEO, site work, and ads are scoped the same way, and everything you build carries over.
Is the demo a sales pitch?
The demo is your data, not a pitch deck. Before the call we run your measurement, so the thirty minutes are spent walking your own battle map: what the engines get wrong about you, who owns the answers you are losing, and what fixing it involves. If the map says you are fine, we say so.
How long does it take to show up in AI answers?
Honest answer: it varies, and single month moves are noise. Flips from invisible to visible typically take 60 to 90 days after the corrected content is indexed. We do not promise a timeline. We promise a loop: measure, diagnose, fix, approve, publish, re-measure. Over a quarter the trend becomes real.
Comparing options? See how the engine stacks up against Profound, Surfer, Peec AI, monitoring tools, and GEO agencies, honestly, in one table.
See your own battle map. Live.
We run your measurement before the call, so the demo opens on your data: where you are invisible, who gets recommended instead, and what the engines get wrong.
Book a Demo