ASLMachine-facing infrastructure In development

BUSINESS INFRASTRUCTURE / V0

Your business.
In a language
machines understand.

The web was built for humans.
ASL builds the machine-facing layer.

Structured representations of your services, prices, conditions and capabilities — for AI-driven discovery and future agent interactions.

Explore how it works

In development. Preparing for the first pilots.

THE MACHINE-FACING LAYER01 / MODEL
WebsiteCatalogBusiness data
ASLFacts. Conditions. Context.
Structured business facts
service
Workshop service
base_price
€60
mobile_service
Optional
conditional_fee
+ €40

Illustrative data · not an ASL offer

SearchAI assistantsFuture agents

01 / THE SHIFT

A new interface.
The same business facts.

Commercial discovery is beginning to happen inside AI interfaces as well as traditional search. AI increasingly participates in how people research products and services.

But agents are still asked to understand businesses through interfaces built for people. The facts need a clearer structure.

02 / THE INTERPRETATION GAP

Readable by people.
Ambiguous to machines.

A website can work perfectly for a person and still leave an automated system guessing.

01

Missing from the shortlist

A relevant business may never appear among the candidates. An important service can be overlooked before comparison even begins.

02

Facts without their conditions

An optional fee becomes the price. A service mode disappears. Location, constraints or availability are difficult to retrieve.

03

A weaker match than reality

When context is lost, the business can look less relevant to a customer's actual needs than it really is.

03 / COMMERCIAL SEMANTICS

A €60 service is not
always a €100 service.

Unstructured commercial information can be interpreted incorrectly by automated systems. The condition makes the difference.

01 / HUMAN INFORMATION

Two ways to get a service.

“A service costs €60 at the workshop. Mobile service is available for an additional €40.”

Fictional example. No real business is represented.

02 / POSSIBLE MISREADING

One flattened price.

€100Service price

The optional mobile fee has been merged into the base price.

An illustrative risk, not a claim about a specific AI system.

03 / STRUCTURED REPRESENTATION

Keep the condition.

Base service price
€60
Workshop visit Available · extra fee
€0
Mobile service Optional · extra fee
€40

The €40 fee applies only when mobile service is selected.

Same facts. Clearer meaning.ASL does not invent advantages or change commercial terms.

04 / HOW ASL WORKS

One business model.
A machine-facing layer.

The planned architecture turns existing business information into a consistent representation, with its conditions intact.

  1. 01 / INPUT

    Business sources

    Website / CMS / catalog / business data

  2. 02 / STRUCTURE

    Canonical business model

    A consistent model of facts and relationships

  3. 03 / LAYER

    ASL

    Machine-facing representation

  4. 04 / OUTPUT

    Machine-facing interfaces

    For search, AI assistants and future agents

Potential interfaces include structured web data, feeds, APIs and agent protocols. These are development directions, not available integrations.

What ASL structures

  • Services
  • Products
  • Base prices
  • Conditional fees
  • Service locations
  • Delivery & service modes
  • Availability
  • Business capabilities
  • Constraints
  • Policies

05 / WHAT WE MEASURE

Visibility is a hypothesis.
Measurement is the work.

This website is ASL's first discovery experiment. These are the dimensions we plan to evaluate — not results already achieved.

01

Discoverability

Does the business appear among relevant candidates?

02

Understanding

Does the AI understand what the business actually offers?

03

Commercial accuracy

Does the AI distinguish base price from conditional charges?

04

Relevance

Does the business remain visible when a query includes real-world constraints?

05

Actionability

Can the AI retrieve enough information to help the customer act?

06

AI-originated demand

Can referrals, leads and later customers originating from AI be measured?

Crawling, indexing and AI discovery are separate steps. None guarantees ranking or inclusion in an AI answer.

06 / THE ROAD AHEAD

Building the foundation.

In development / pilot preparation stage

Current work focuses on machine-readable commercial representation, discoverability experiments, AI interpretation and measurement.

NOW

Make the facts interpretable.

Discovery, representation and structured commercial semantics.

LATER

Connect information to action.

Real-time business data, availability, machine-to-machine communication, bookings and agentic commerce.