Nimbletoad · Carlsbad, California · since 2008

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.

your battle map
You /8What buyers askChatGPTPerplexityGeminiClaudeAIOAI ModeCopilotGrok
5best physical therapistYouYouRivalYouOpenYouOpenYou
4flat fee real estateYouRivalYouYouOpenOpenRivalYou
3EMDR certificationRivalYouYouOpenOpenYouOpenOpen
2where to donate locallyOpenRivalOpenYouOpenOpenYouRival
4childcare open weekendsYouYouOpenRivalYouOpenYouOpen
you are named a rival is named unclaimed

Example questions and results, not client data. This is the exact format your real map takes.

What the engines actually say

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:

A flat fee real estate brokerage
What the engine said
“They are a student transportation platform for school commutes.”
What is true

Every word wrong. A buyer asking which brokerage to use was told this business drives kids to school.

A childcare center, two San Diego locations
What the engine said
“It is a hospital philanthropy program accepting donations.”
What is true

Not a school in sight. Parents looking for daycare were pointed to a donation page instead of a tour.

An oral surgery practice in California
What the engine said
“Located in Colorado, led by [a surgeon who does not exist].”
What is true

Wrong state, invented surgeons. Credentials never earned, attached to a real practice with real patients.

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.

The engine in 90 seconds

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.

the AI Visibility Engine

Real product screens with confidential details blurred; the receipt scene uses a sample client.

How the engine works

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.

1

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.

2

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.

3

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.

4

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.

Inside the portal

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.

Northshore Physical Therapy
SAMPLE

This month

44%
AI share of voice
9/12
questions where you are named
38%
recommended first
312
visits AI sent you

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.

Why this gets stronger every month

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.

1
What goes in
Who you are, what you do, the proof you can stand behind, the words you use, and the things that are never true about you. Seven dimensions in all.
2
Where each fact came from
Verified from your site, confirmed by you, or proven in a monthly measurement. Every entry carries its source and its date, so nothing we publish about you is ever a guess.
3
How it grows
Every wrong AI claim becomes a guard so it cannot be repeated. Every confirmation becomes a fact. Every measurement shows which entries the engines actually repeat back.
4
Why it is yours
You watch it fill in the portal and receive it as a branded PDF at every quarterly review. If the work ever moves, it moves with you, intact.

This is the 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.

The content engine

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.

Your content stack, already inside the briefs

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.

Term research, built into every brief
Top-page benchmarks and the terms winning pages share, grouped by theme, with a note: terms are guidance, never a stuffing quota. Content tools charge roughly $49 to $299 a month for this in a separate dashboard.
Voice enforcement, from your ledger
Voice platforms run $29 or more per seat to store rules and flag violations. Your ledger holds the same rules, verified monthly against what the engines actually say, and checks every brief and draft automatically.
And the part no tool sells
Tools score your draft against a model of what might rank. We measure whether eight engines actually name you, month over month. The tools guess at the recipe. The battle map grades the meal.
What goes into every page we write

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 your industry's map

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.

01

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
02

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
03

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
04

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
05

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
06

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
07

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
What the instrument runs on

This is the measurement,
every single month

5,300
engine answers captured and scored per cycle
325
real buyer questions tracked across our clients
8
engines, from ChatGPT and Claude to Grok
27
wrong AI claims caught, each with a fix plan

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.
Questions we get

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?

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, in one table.

If you are comparing vendors

Seven questions to ask anyone selling AI visibility

Including us. AI answers are probabilistic, engine-specific, and location-sensitive, and a dashboard that hides that is selling you a number, not a measurement. These are the questions that separate the two, whoever you put them to.

1. How many times do you sample each prompt?
Ask the same engine the same question twice and you can get two different answers. That is the architecture, not a bug, so a tool that assigns you a fixed rank is smoothing over reality. Every cell on our map carries its sample count, any cell where the samples disagreed shows the split on the tile, and last month 8.6 percent of multi-sample cells came back differently from one ask to the next. We publish that figure instead of averaging it away.
2. Was I recommended, or just mentioned?
A name dropped in paragraph six of a three-thousand-word answer is not visibility. We score mentioned, cited, and recommended as three separate things, and keep the engine’s verbatim answer as the receipt, so you can read exactly where and how you appeared.
3. How do you know a mention is real?
Engines can invent a brand into an answer without retrieving a single page about it. Our measurement runs with web search on, so answers carry the sources the engine actually pulled, and every factual claim is audited monthly against facts your business confirmed. An invented mention is a wrong claim with a correction plan, never a win.
4. What exactly counts as a mention?
There is no industry standard, so every vendor’s score means something different and none of them are comparable. Our definition is printed on every battle map: the questions, the sampling, the scoring rule, the panel version. If a vendor will not show you the methodology, the number cannot be compared to anything, including last month’s.
5. What location are the engines answering from?
The same question asked from two cities returns two different answers, which is why one screenshot proves nothing. Where your questions are ambiguous about place, our request carries your market, the map states which engines accept a location, and it says plainly that the rest answer nationally.
6. Do you segment by engine, or blend them?
The engines are not the same: they retrieve differently and lean on different kinds of sources. We measure eight engines as eight columns on the map and diagnose every loss per engine, because the fix that flips a Perplexity cell is not the fix that flips a Gemini cell.
7. How does this tie to revenue?
A perfect mention rate with flat revenue is a vanity number. We join Google Analytics to the map: AI referral sessions and conversions reported next to the visibility numbers, labeled a floor and never a total. Where conversion tracking is not configured, we report n/a, never a reassuring zero.
Every answer above is printed on the product.
The methodology card on the battle map, the sample counts on the cells, the receipts behind every claim. See how the field answers the same questions.
The Competitor Lens

See your market the way your competitor's report would show it to them

Plenty of tools count your mentions. The lens runs the same analysis a second time from each rival's chair, on the same recorded answers: where they stand, what powers every answer they hold against you, the move their report would hand them next, and the content that cancels each position. No extra queries, no guesswork about their strategy. Their strategy is readable in the sources behind their wins.

Every rival position, split by what powers it
A win resting on pages they own cannot be out-reached, only out-answered. A win resting on independent pages is rented, and rented positions can be contested. The lens labels each one, so the counter-move is never generic.
Through their eyes
Flip the chairs and the answers you hold become their targets. The sample practice Northshore PT holds the referral question; the lens shows the exact counter-move a rival's report would carry against it, which is what defending an answer actually means.
The recommendation machine, shown with its working
The counter-content next to each rival position comes from the same machine that builds your action plan. The lens is the exposition: what each rival would be told, and what we tell you because of it.

The lens ships live in the client portal, and the full version, on your own real measurement with five finished sample deliverables, is the intel report we build for qualified prospects. Book a demo to see yours.

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