What does the AI Visibility Baseline include?

$1,000, one time. We build your question set, you approve it, we sample for a full seven days across all four engines, and you get the first report and a prioritized fix plan. No monthly commitment. If you continue into the monthly program within 30 days, the fee is credited against your first month.

How is this different from a free AI visibility checker?

A checker asks once. AI answers are not deterministic, so one check is one sample and one sample has no error bar. Published guidance puts the floor at three measurements per question per engine over a rolling seven-day window before an estimate is valid. This runs at least that, and every rate is reported with its sample size and interval. If a number moves less than its own error bar, the report says so instead of taking credit for it.

Can you guarantee ChatGPT will recommend my business?

No, and neither can anyone else. What you get is a measurement instrument with a stated error bar, a baseline taken before any work starts, and the same instrument run the same way afterward. The method is written down, so before and after are comparable. If three months of work has not moved anything outside the error bars, that is what the report will say.

What does the monthly program cost, and how much time is in it?

$1,500 to $2,500 per month, sized to the number of questions, engines, and competitors tracked. That is roughly 10 to 15 hours a month of measurement and remediation work. Three-month initial term, then month to month.

Is this just local SEO with a new name?

It overlaps and it is not the same. Google Business Profile and structured data work counts toward both, so nothing gets billed twice. The difference is what gets measured: local SEO measures position on a results page, and this measures how often an answer engine names you, links you, and cites your sources instead of a competitor's.

When should I expect the numbers to move?

Month one is a baseline, not a result. Linked citation rate and Google-side performance tend to respond first, because entity and profile work is directly in our hands. Surface rate on broad category questions depends on third-party sources and moves slower. Citation share is the leading indicator here, not phone calls; revenue has too many other inputs to attribute cleanly, and pretending otherwise would be dishonest.

Vol. I — AI Visibility Lead

Now booking

The outside owner of how AI search describes and cites your business.

Your buyers stopped searching. They started asking.

Monthly measurement of whether ChatGPT, Perplexity, Google AI Overviews, and Claude name your business when someone asks for one like it. Reported with sample sizes and error bars, then remediated.

Book the AI Visibility Baseline

Briefing

A customer who used to type a category and a city into a search box now asks an assistant the same question in a sentence and takes the two or three businesses it names. There is no results page to be tenth on. You are either in the answer or you are not in the conversation.

Almost nobody can tell you which one they are. The engines are non-deterministic, so asking once tells you nothing — one sample has no error bar, and a checker that runs a single query and prints a verdict is measuring noise. Meanwhile the inputs the models actually read, your Google Business Profile, your structured data, and the directories and roundups that describe your category, are usually inconsistent with each other in ways nobody has audited.

This engagement is the measurement instrument and the person who fixes what it finds. Your question set is built with you and approved before anything runs. Sampling happens weekly across all four engines. Every rate arrives with the number of samples behind it and the interval around it, so a change that is smaller than the measurement error is reported as exactly that instead of being sold back to you as progress.

Nobody controls what a model says. What you can control is whether the sources it reads are accurate, complete, and about you.

Three ways forward

Keep paying for keyword rank.

Position on a results page is a real metric that is measuring a shrinking channel. It tells you nothing about whether an assistant names you, and your current provider almost certainly is not tracking the difference.

Check it yourself, occasionally.

Asking ChatGPT about your own business is one sample with no baseline and no comparison. It feels like measurement, produces a number, and cannot support a decision.

Measure it properly, then fix it.

A weekly sample across four engines, rates published with their intervals, and the profile, schema, and citation work aimed at the specific gaps the samples found.

The engagement ladder

Two rungs. One clear path.

Not sure yet? The baseline is the front door — a full measurement and a fix plan with no monthly commitment, credited against your first month if you continue within 30 days.

AI Visibility Baseline

The front door

$1,000

One time, about one week

A full measurement, the first written report, and the fix plan, with no monthly commitment. If you continue into a monthly tier within 30 days, the fee is credited against your first month.

AI Visibility Lead

The engagement

$1,500–$2,500/mo

10–15 hrs/mo · Three-month initial term, then month to month

Monthly measurement of whether ChatGPT, Perplexity, Google AI Overviews, and Claude name you when a buyer asks for a business like yours, plus the work to fix the reasons they do not.

Book the AI Visibility Baseline

AI Visibility Baseline

$1,000

One-time

One full week of sampling, and the first honest number you have had.

Format

A question set built with you and approved before anything runs — the phrasings your buyers actually use, not the ones you wish they did
Seven consecutive days of sampling across ChatGPT, Perplexity, Google AI Overviews, and Claude
A written report: surface rate, primary recommendation rate, linked citation rate, and share of citation, each with its sample count and interval
A per-engine and per-question breakdown, including the questions where you never appear at all
A prioritized fix plan naming the specific profile, schema, and third-party sources responsible for the largest gaps
Credited in full against your first month if you continue within 30 days

Book the AI Visibility Baseline

The AI Visibility Baseline, $1,000 one time.

This is right for you if…

You suspect the AI channel matters and you have no idea where you stand in it. You want a real measurement before you commit to a monthly anything, and you would rather find out that your foundations are fine than pay someone for a year to tell you so.

AI Visibility Lead

$1,500–$2,500/mo

10–15 hrs/mo

Weekly measurement, a monthly written read, and the remediation work behind it.

Format

A written monthly report: surface rate, primary recommendation rate, linked citation rate, and share of citation, each with the sample count and confidence interval behind it.
A per-engine and per-question breakdown across ChatGPT, Perplexity, Google AI Overviews, and Claude, including the questions where you never appear.
Google Business Profile, schema, and name-address-phone corrections aimed at the specific gaps the report found.
Directory and citation work on the sources the engines actually read, which is most of the lever and is not your website.
A prior-month comparison that states plainly whether a change is larger than the measurement error.
A 30-minute review call each month, and your raw samples on request.

Start the conversation

Sampling runs every week. You get a written report each month and a 30-minute call to agree on the next month's priorities.

This is right for you if…

Competitors are turning up in AI answers about your category and you are not. Your profile, your schema, and your directory listings disagree with each other in ways nobody has audited. You already pay for search work and nobody can tell you what this channel is doing.

Fit

Worth knowing before you call.

Signals this is your tier

Competitors turn up in AI answers about your category and you do not.
Your Google Business Profile, schema, and directory listings disagree with each other.
Call volume is down and nothing in your analytics explains it.
You already pay for SEO and nobody can tell you what the AI channel is doing.

Where this is the wrong call

Anyone who wants a guaranteed mention or placement. Nobody controls what a model says, and anyone promising otherwise is selling something they cannot deliver.
Teams who want keyword rank tracking. That is a different measurement and a different service.
Businesses with no real website yet. Build that first; there is nothing here for an engine to read.
Anyone who wants a dashboard login instead of a written report and someone doing the remediation work.

Against the alternatives

Three tiers. One ladder.

Dimension	AI Visibility Lead	AI Strategic Advisor	Fractional CAIO
Price	$1,500–$2,500/mo	$5,000–$8,000/mo	$10,000–$15,000/mo
Time per month	10–15 hrs/mo	20–30 hrs/mo	50–70 hrs/mo
Starts with	AI Visibility Baseline, $1,000	AI Adoption Assessment, $6,000	AI Adoption Assessment, $6,000
Who owns the outcome	You own the outcome. I measure it and close the gaps.	You own the outcome. I pressure-test the plan.	I own the outcome and report on it.
Decision rights	None. I recommend and execute inside an agreed scope.	Advisory. Your leadership decides.	Full, inside an agreed mandate and budget.
Hands on keyboard	Yes. Profile, schema, and citation work is included.	Review only. No implementation in this tier.	Yes, on the pieces where a handoff would kill the work.
Best for	Getting found and cited correctly by AI search.	A capable team that needs senior judgment.	An AI function with nobody accountable for it.

The operator

Who you're working with.

I am Jeremy Cleland. Fourteen years in uniform, eleven of them in Special Operations as a medic, then a master's in Artificial Intelligence in 2025 and a second career building systems that have to work when someone is depending on them.

Special Operations medicine is a useful background for this work for an unglamorous reason: the job is making decisions with incomplete information, under a deadline, where being confidently wrong is the failure mode that costs the most. That is also the job of running an AI function in 2026.

I build as well as advise. The roadmaps I write are constrained by what I know I would have to implement, which tends to keep them honest about what is actually shippable this quarter.

Most AI advisors are strategists who have never shipped a model, or engineers who have never sat in a leadership meeting. The useful part is doing both.

Read the longer version

What this engagement does not include.

Guaranteed placement. No one can promise a model will name you, and a provider who does is either misunderstanding how these systems work or counting on you to. What is guaranteed is a stated method, a baseline taken before any work starts, and the same instrument run the same way afterward.

Keyword rank tracking. Different channel, different measurement, and there are competent vendors who do only that. Some of the underlying work — profile accuracy, structured data — helps both, and none of it gets billed twice.

Content production at volume. This is not a blog-post subscription. Where a specific gap points at missing content, you get the brief and the reason; writing it at scale is a separate arrangement.

A dashboard login. The deliverable is a written report from someone who read the samples, plus the remediation work. A live dashboard that nobody interprets is a way of shifting the analysis back onto you.

Questions

Asked and answered.

What does the AI Visibility Baseline include?: $1,000, one time. We build your question set, you approve it, we sample for a full seven days across all four engines, and you get the first report and a prioritized fix plan. No monthly commitment. If you continue into the monthly program within 30 days, the fee is credited against your first month.
How is this different from a free AI visibility checker?: A checker asks once. AI answers are not deterministic, so one check is one sample and one sample has no error bar. Published guidance puts the floor at three measurements per question per engine over a rolling seven-day window before an estimate is valid. This runs at least that, and every rate is reported with its sample size and interval. If a number moves less than its own error bar, the report says so instead of taking credit for it.
Can you guarantee ChatGPT will recommend my business?: No, and neither can anyone else. What you get is a measurement instrument with a stated error bar, a baseline taken before any work starts, and the same instrument run the same way afterward. The method is written down, so before and after are comparable. If three months of work has not moved anything outside the error bars, that is what the report will say.
What does the monthly program cost, and how much time is in it?: $1,500 to $2,500 per month, sized to the number of questions, engines, and competitors tracked. That is roughly 10 to 15 hours a month of measurement and remediation work. Three-month initial term, then month to month.
Is this just local SEO with a new name?: It overlaps and it is not the same. Google Business Profile and structured data work counts toward both, so nothing gets billed twice. The difference is what gets measured: local SEO measures position on a results page, and this measures how often an answer engine names you, links you, and cites your sources instead of a competitor's.
When should I expect the numbers to move?: Month one is a baseline, not a result. Linked citation rate and Google-side performance tend to respond first, because entity and profile work is directly in our hands. Surface rate on broad category questions depends on third-party sources and moves slower. Citation share is the leading indicator here, not phone calls; revenue has too many other inputs to attribute cleanly, and pretending otherwise would be dishonest.

Find out where you actually stand.

The free scan scores any URL against the same rubric in about twenty seconds. It is honest about what a single page fetch cannot measure, which is most of what matters — but it will tell you whether the foundations are there.

Book the AI Visibility Baseline Run the free scan