01 · Weeks 1 to 3
Diagnose
A baseline of how search and AI answers describe you, and why.
Approach · The Underneath Method
Publishing more pages does not make a business more visible in AI answers.
When an AI system recommends a company, describes a product or cites a source, there is an information system underneath that answer: the entities involved, the claims made about them, the sources and evidence behind those claims, and what the system can retrieve. We work backwards from the answer to understand that system, then decide what needs to change.
Diagnose → Architect → Deploy → Compound. That is the Underneath Method.
01 · Weeks 1 to 3
A baseline of how search and AI answers describe you, and why.
02 · Weeks 2 to 4
A prioritized plan, with owners and measures.
03 · Month 2 onward
The changes ship, on your site and beyond it.
04 · Ongoing
Measure, learn and set the next cycle.
We start with your customers, not with a list of pages to write.
We examine how your business appears across search and AI surfaces, the questions buyers ask, the competitors they compare you with, and the information available about your company across the web.
We look beyond mentions and rankings. We investigate the claims, sources, entities and relationships underneath the answer.
The result is a baseline and a set of priorities, not a generic SEO audit or a list of content ideas: a clear view of what is understood, what is missing, what conflicts and what matters next.
Diagnosis tells us where the gaps are. Architecture determines what we do about them.
We turn the findings into a prioritized plan across the website, content, technical foundation, entities, sources and measurement. Every recommendation comes with the reason for it.
The output is a practical roadmap with goals, priorities, owners and measures.
No activity for activity’s sake.
The work follows the diagnosis, so it looks different for every company.
We don’t prescribe the work before we understand the problem.
AI answers shift, search results move, competitors publish and your own business keeps changing. A one-time optimization project can’t keep up with that.
So we measure what changed, investigate why, test our assumptions and use what we learn to decide what comes next:
Measure → Learn → Change → Test → Compound.
Each cycle starts from better evidence than the last. Over time, what builds up is not just more mentions but a stronger, more accurate information footprint around the business.
The clock starts when the program does. You see the audit in the first week, a plan within the month, and the first real work live in the second.
Day 0
Goals, markets, competitors, measurement and access are agreed.
Days 1 to 7
A baseline across search, AI visibility, the website, sources, entities, customer language and measurement.
By day 30
Priorities, pages, sources, technical work, owners and measures.
Days 31 to 60
The first changes ship, with the baseline kept so they can be measured.
Day 90
What changed, what we learned and what the next quarter should focus on.
At no point does the work vanish into a strategy deck.
An AI answer can look simple. The information behind it isn’t. We investigate these layers together.
What are buyers actually asking?
Who or what is being discussed?
What is being said about it?
Where does that information come from?
What supports the claim?
What other entities, products, people, categories or concepts are connected to it?
How does all of that become the description, comparison, recommendation or citation a customer sees?
In practice, we take the answers to your most important customer questions and work backwards: which companies appear and how they are described, which sources are referenced, what information shows up consistently, what is missing, where competitors have stronger evidence and where your own information disagrees with itself.
The answer tells us where to look. The deeper analysis tells us what to change.
The team is shaped around the work: one plan, one accountable lead, and specialists brought in where the work needs them. Some specialist work is done by vetted partners, under the same lead and the same standards.
Owns priorities, decisions and the overall program.
Owns AI visibility research, analysis and ongoing experimentation.
Turns the opportunities the diagnosis finds into clear, useful pages that other sources can reference.
Handles the technical and information architecture that makes that information discoverable.
Every program has a 30-minute review in the same slot every week, with a decision-maker from your side in the room. Four things, always in this order.
01
The work completed, with links.
02
The evidence across AI visibility, search and business metrics.
03
What the data and research are telling us.
04
The next priorities and decisions required.
A written note follows within one business day. You should never have to wait for a monthly report to find out what your agency has been doing. If a decision-maker cannot join the weekly review, we may not be the right fit.
Why do your best customers choose you?
Do search engines, AI systems and the sources they read recognize who you are?
Can the right information be found when it matters?
Are the important claims supported?
Where do competitors have a stronger information footprint?
What actually changed?
What do we know now that we didn’t know before?
The questions are simple. Answering them well is the work.
Free strategy call
Your website is one source. Your reviews are another. Your customers, publishers, directories, communities, search results and other sources all contribute to the information environment around your business.
Our job is to understand how those pieces fit together, then strengthen the ones that are letting you down. Bring the problem to a free 30-minute call and we’ll tell you which pieces we would look at first.