Purpose unfolding now.

The ground beneath the machines that read the world.

◈ White-Label Schema Network — Live Simulation Initializing...

Your Agency

Telosima Infrastructure

Client Domain

AI Query

Schema Signal

For SEO Agencies

Your clients are asking about AI. Deliver the infrastructure that actually answers.

Your agency manages the relationship. We build the architecture. Every client you bring receives full graph-layer schema implementation — the kind of structured knowledge infrastructure that makes their domain the source AI systems reason from, not just reference once.

White-labeled. Margin-positive. Measurable before and after. The most defensible AI readiness offering in your market.

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Standard Schema vs. Graph Architecture The Distinction

The market is deploying schema. FAQ markup, HowTo sequences, Organization type declarations. Flat documents with labels attached. AI systems read these once, extract one answer, move on.

A real graph has confirmed edges — declared relationships between entities that AI can traverse, verify, and reason across. This is what separates a single citation from becoming the substrate that generates every answer in a category.

Standard Implementation

Handful of relevant schema types per page

Flat document structure — no entity relationships

One answer, one citation, one mention

AI reads it once and moves on

No cross-domain provenance

Telosima Graph Architecture

Full schema vocabulary coverage — every applicable type and property

Confirmed entity edges — traversable relationships across the domain

AI reasons across the entire domain, cited repeatedly

Living graph — each client strengthens the whole

Cross-domain provenance baked in from real usage data at scale

916 schema types · 1,453 properties · 42 world languages

Three Layers of Graph Architecture What We Build

Every client domain receives three compounding layers of structured knowledge infrastructure. Each layer is independently valuable. Together they make the domain traversable by AI systems the way Wikipedia is traversable — deeply, confidently, repeatedly.

Layer 01

Full Vocabulary Coverage

We deploy the complete applicable schema.org vocabulary across every page of the client domain — 916 types, 1,453 properties. Every relevant term declared, typed, and structured. This is the foundation most implementations never reach. Where others deploy a handful of obvious types, we cover the entire reasoning surface the AI needs to understand what a domain is, what it does, and how it connects to its industry.

Layer 02

Telosima Entity Graph Edges

Every client domain we build connects to entities already indexed inside the Telosima graph — industry classifications, geographic relationships, semantic fingerprints across 42 world languages. The client's schema points outward into a living, growing graph rather than sitting in isolation. AI systems following edges from related entities arrive at your client. That is how you become part of the reasoning path, not just the destination of a single query.

Layer 03

Cross-Domain Provenance Edges

We analyze schema usage patterns across thousands of real domains in the same industry and category. We bake those confirmed relational patterns into the client's implementation — edges drawn from real usage data at scale. The client's site speaks the same structured language as the authoritative sources in their field, with explicit declared connections. AI systems build confidence through provenance. This is how provenance gets declared.

How the Partnership Works Three Steps

You bring the domain and scope. Share the client domain, their industry, and the pages in scope. We run an initial intelligence pass — schema score, vocabulary gaps, entity relationship map — and return a full implementation blueprint within 48 hours.

We build the graph architecture. Full three-layer implementation — vocabulary coverage, Telosima entity edges, cross-domain provenance. Delivered as implementation-ready structured data your team drops in or we deploy directly. Every deliverable is white-labeled under your agency.

You deliver with measurable proof. Before and after schema scores. A live entity page at telosima.com/e/theirdomain.com showing exactly how AI reads the client's domain — their semantic fingerprint, their graph connections, their coverage across the full vocabulary. Proof your clients can see with their own eyes.

The Compounding Advantage For Your Agency

Every client you bring into the Telosima graph strengthens every other client already in it. Entity edges accumulate. Cross-domain provenance deepens. The graph grows denser and more authoritative with each domain minted. Your agency's clients benefit from the entire network — not just their own implementation.

You hold the client relationship and the margin. We operate as your invisible infrastructure layer. Your brand. Your delivery. Our architecture.

The agencies that build this infrastructure for their clients now will own the AI readiness conversation in their market for the next decade. This is the moment that distinction gets established.

White-labeled deliverables

Before + after schema scores

Live entity pages as proof

Graph compounds per client

White-label · Margin-positive · Measurable Start the Conversation →

◈ Pages

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System Status

PageAGENCIES

ModelWHITE-LABEL

StatusACCEPTING

Schema Types916

Properties1,453

Languages42

DeliveryWHITE-LABEL

ProofSCORED

GraphCOMPOUNDS

Entities Minted —

Machine Entry Point

entities/api/entities

braid/api/braid

graph/api/graph

lexicon/api/lexicon

content_type application/ld+json

Build: 2026-PROD Spec: receptor-v1.0 Status: OPERATIONAL

Schema infrastructure for agencies that lead.