Operations for AI visibility

Seven work directions. One shared plan.

You can come for one specific piece — for example, a $20 audit or entity alignment in directories. You can hand over the whole story and stop thinking about it — we hold the directions together as one team. Most projects sit somewhere in the middle: a couple of modules together plus vendor coordination under our point of responsibility.

Seven modules. Combined by situation.

Problems with AI visibility rarely sit inside one direction. They spread across several layers: somewhere the site itself describes the category incorrectly, somewhere there are no external confirmations, somewhere the model does not understand the difference between two products from the same brand. Most teams either take one layer and ignore the rest, or hire four vendors and lose the overall logic. We hold the logic and run the work ourselves or through partners under one aligned plan.

What we actually do.

Each module is described in the same format: what problem it solves, what usually goes in, when it matters first, who actually does the hands-on work, what the client gets. Not every project uses all seven — modules are combined to fit the situation.

A
Audit and diagnosis
An architecture report: where the brand is read cleanly, where models lose it, in what order it makes sense to fix this, and which modules from this page will go into the plan.
B
Work on owned surfaces
Rewritten sections, markup schema, aligned brand entity — machines read without ambiguity.
C
External footprint and entity alignment
Coordinated work on third-party surfaces so that independent sources consistently confirm the brand.
D
Research with real people
Structured participant research and disclosed contributions where category interpretation needs a real human layer.
E
Execution across multiple language markets
Visibility architecture for each market, execution under one plan, validation separately in each market.
F
Vendor coordination
Coordinated specialist work under one structure of responsibility: one shared brief, one shared rhythm, one operator accountable for the result.
G
Result validation
A log of what was done, observable changes, and the logic of the next step.

Direct services

Buy a specific work format directly. Card or crypto payment, start within 24 hours. No contract negotiations or procurement procedures.

Express visibility audit

A quick check of how your brand reads in ChatGPT, Gemini, and Perplexity, and where gaps are visible. One PDF report and one results call.

$20.00 USD

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Specialist consultation

A working session with a senior specialist on AI visibility, markup, external footprint, or research design — around 45–60 minutes, followed by a written summary of next steps. If the conversation surfaces work larger than the session, the scope is mapped from it.

$200.00 USD

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Responsibility distribution across the seven modules.

Responsibility for the system as a whole stays with us, but that does not mean we do every task with our own hands. The table below shows where we hold the logic, where we also do the hands-on work, and where partners work under our brief.

ModuleLogicExecutionWhat we watch
A. Audit and diagnosis UserSignalsUserSignalsProblem framing, priorities, sequence
B. Owned surfaces UserSignalsUserSignals or partnerMessage logic, priorities, quality review
C. External footprint and entity UserSignalsUserSignals or partnerRelevance, consistency, risks
D. Participant research UserSignalsUserSignalsDesign, brief, quality control, reporting
E. Multi-market UserSignalsUserSignals or local partnerMarket-by-market logic, sequence
F. Vendor coordination UserSignalsPartnersScope of work, briefs, quality review, integration
G. Result validation UserSignalsUserSignalsWhat changed, what matters next

Common to every row: the operator of the whole system is us. Who exactly executes individual tasks depends on the project.

If the visibility problem fits into these seven modules — the next step is a $20 express audit. Get an express audit — $20 →