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tradeoutpost.org Southern California · 5 Counties 18,400+ Service Entities Indexed
AI-readable · Machine-traversable · Human-trusted
Confidential · TradeOutpost Business Model Overview · For Presentation Purposes · April 2026
Business Model

Seven revenue surfaces.
One structural moat.

TradeOutpost is a graph-first service intelligence platform built on compounding data authority in Southern California. The business model is layered, sequenced, and designed to grow in value with every entity added to the graph.

18,400+
Indexed Entities · SoCal
5
Counties · Phase One Coverage
7
Distinct Revenue Surfaces
40+
Trade & Service Categories
The Structural Moat

The graph compounds.
That's the defensibility.

Before the revenue surfaces, the moat needs to be understood. This is what separates TradeOutpost from every directory that came before it and every competitor that might come after.

Why this graph is hard to replicate

Every entity added to the graph increases the authority and value of every other entity. The connections between contractors, license bodies, service areas, trade categories, and geographic regions create a web of structured linked data that deepens with time.

AI systems cite the most authoritative structured source for any given query. Authority is built by being first, thorough, and consistently machine-readable. A competitor starting today starts with zero graph edges. TradeOutpost started with 18,400 indexed entities and is adding verified nodes daily.

The moat isn't just data volume. It's the quality of the structure, the depth of the schema, and the citation authority that AI systems assign over time to a trusted source. That authority is not transferable and not purchasable. It compounds.

The compounding flywheel

Each stage reinforces the next. The flywheel accelerates as the graph deepens.

More entities indexed means more graph edges and deeper coverage per trade and region
Deeper coverage means AI systems cite TradeOutpost as the authoritative SoCal service source
More AI citations means more contractors discover their profile exists and claim it
More claimed profiles means higher schema scores, more verified data, and more graph authority
Higher graph authority means more AI citations, more claimed profiles, more revenue — repeat
The Seven Revenue Surfaces

Each surface activates at a
specific growth threshold.

The model is sequenced deliberately. Not everything activates on day one. Each surface unlocks as the platform reaches the depth needed to support it. This is the full revenue architecture from launch through scale.

01
Profile Upgrades — Recurring Monthly Revenue
The core monetization surface. Contractors claim their profile free, see their schema score, and are presented with upgrade options — featured placement in their trade and county, enhanced schema optimization, territory locking, and priority lead routing. This is a recurring monthly subscription, not a one-time fee. The contractor pays to maintain their position in the graph. The platform earns predictably every month per upgraded node. At 500 upgraded profiles at $150/month the run rate is $75k/month from this surface alone.
Unit Economics
$150/mo
per upgraded profile

500 profiles = $75k/mo
1,000 profiles = $150k/mo
Activation
Active Now
First paying upgrade possible from first 50 claimed profiles. Revenue starts immediately.
02
Telosima Schema Consulting Pipeline
Every business that claims a TradeOutpost profile and wants to go deeper — full schema audits, entity authority building across the broader web, AI retrieval optimization for their own site, custom graph architecture — is a warm lead for Telosima. No cold calling required. They came to the platform, saw what structured data does, and want more. That's the highest-quality consulting pipeline available. Telosima engagements range from one-time audits to ongoing retainers. TradeOutpost is the top of the funnel.
Engagement Range
$2k–$10k
per Telosima engagement

Audit: $2k–$3k
Retainer: $1.5k–$3k/mo
Activation
Active Now
Warm leads generate from first claimed profiles. No threshold required.
03
B2B Data Licensing — Insurance, Property Management, Real Estate
The graph is valuable far beyond individual contractor profiles. Insurance companies need vetted contractor networks for claims referrals. Home warranty companies need licensed service providers by zip code. Property management firms managing hundreds of units need reliable trade contractors on call. These organizations pay for access to a verified, structured contractor database — not per lead, but as a licensing agreement. One deal with a mid-size property management company can be worth more than a hundred individual upgrades. This is the B2B layer that individual directories never built.
Deal Range
$12k–$60k
per annual licensing deal

Insurance co.: $30k–$60k/yr
Prop. mgmt: $12k–$24k/yr
Activation
500+ Verified
Requires minimum verified entity depth per county to offer meaningful coverage to B2B buyers.
04
API Access — Developers, Proptech, AI Tooling
As the graph deepens, the structured data becomes a product in its own right. Developers building real estate applications, home service platforms, AI tools, or local service agents need structured, verified, machine-readable contractor data. API access is sold in tiers — by call volume, by county coverage, by trade category depth. This surface requires no additional sales effort once the graph is built. The data is the product. The API is the distribution channel.
Pricing Model
Tiered
by call volume + coverage

Starter: $299/mo
Pro: $999/mo
Enterprise: Custom
Activation
Graph Depth
Activates when graph coverage is deep enough per region to be useful to external developers.
05
Vertical Expansion — Real Estate, Legal, Medical, Insurance
The graph architecture works for any licensed professional category. Real estate agents, attorneys, dentists, physicians, insurance brokers — each vertical has its own licensing body, its own schema vocabulary, its own upgrade revenue potential. Each new vertical multiplies the value of the existing graph because the real-world connections between categories — a roofer who works with a realtor who works with a real estate attorney — become new graph edges. Vertical expansion is a force multiplier on every revenue surface already built.
Revenue Multiplier
×4–×8
addressable market per vertical added

Each vertical mirrors Surface 01 economics
Activation
SoCal Baseline
Activates after SoCal contractor graph is established and the model is proven.
06
AI Era Brand Visibility — Suppliers, Manufacturers, Insurers
Companies that sell to contractors — tool manufacturers, material suppliers, equipment lenders, commercial insurance providers — have a specific problem: reaching working contractors at the moment of relevance. TradeOutpost is a cited AI source that contractors and homeowners alike interact with during service discovery. Brand visibility inside a graph that AI systems cite is a new category that barely exists yet. Sponsored entity relationships, category partnerships, and contextual brand placements inside a trusted knowledge graph are products no major directory is currently selling.
Deal Structure
$24k–$120k
per annual brand partnership

Category exclusive
Contextual placement
Activation
Citation Authority
Requires established AI citation authority before brand partners see meaningful reach.
07
Graph as Acquisition Asset — The Long Game
A deeply structured, AI-cited, verified service graph covering Southern California with 18,000+ entities across multiple verticals is a strategic asset. Angi, CoStar, Zillow, Thumbtack, or any well-funded proptech or insurtech company that needs structured SoCal service data would pay significant money to own what TradeOutpost built. This is not the plan. It is the option. Building the graph right — deep schema, verified data, compounding authority — creates acquisition optionality that doesn't need to be exercised but should always be understood as existing.
Valuation Basis
Revenue ×
SaaS multiples on recurring upgrade revenue + strategic premium for structured data asset
Horizon
3–5 Years
Long game. Option, not plan. Value increases with every surface activated above.
The Lead Capture Architecture

Every profile links back to its source.
That's provenance. That's the funnel.

The lead capture mechanism is built into the graph structure itself. Every entity profile carries a link back to its source data — public licensing records, county business databases, trade body registries. That provenance link does two things simultaneously: it establishes trust with AI systems by demonstrating data origin transparency, and it creates the funnel entry point where unclaimed contractors discover their profile and convert to claimed users.

Stage 01
🗂️
Source data indexed
Entity built from public licensing records. License number, trade type, county, business name. Source link preserved and embedded in the profile schema as provenance data.
Stage 02
🔗
AI cites the entity
AI assistant answers a local service query and cites a TradeOutpost entity profile. The provenance link signals to the AI that the data has a verified origin — increasing citation confidence and authority score.
Stage 03
👤
Contractor finds their profile
The contractor — or a customer who found them — lands on an unclaimed profile. Contact info is hidden. Schema score is capped. The "Claim This Profile" CTA is the conversion point.
Stage 04
Free claim converts
Contractor claims for free. Contact info unlocks. Schema score reveals gaps. The upgrade conversation begins naturally — they can see exactly what's holding their score back and exactly what fixes it.
Stage 05
💰
Upgrade revenue activates
Featured placement, enhanced schema, territory lock, Telosima consulting. The funnel from source provenance to paying customer requires no paid acquisition — the graph and the AI citation do the work.
The Growth Roadmap

Four phases.
Each one funds the next.

The model is designed so that early revenue from profile upgrades funds the pipeline work that deepens the graph, which unlocks B2B licensing, which funds vertical and geographic expansion. No phase requires outside capital to activate.

Phase 01 · Now → 6 Months
SoCal Baseline
Run the pipeline. Get to 500 claimed profiles. Prove the schema score model works. Make the first B2B licensing conversation.
Pipeline runs on 18,400 seed entities
First 50 claims — cold outreach to SoCal contractors
First upgrade conversions from claimed profiles
AI citation authority begins establishing
Revenue Milestone
$5k–$15k / mo
Phase 02 · 6–18 Months
Vertical Depth
Expand into real estate, legal, and medical verticals within SoCal. Activate B2B data licensing. API in beta.
500+ verified entities across trades
Real estate and legal verticals indexed
First B2B licensing deals with property managers or insurers
Telosima pipeline generating consistent consulting revenue
Revenue Milestone
$40k–$80k / mo
Phase 03 · 18–36 Months
Geographic Expansion
SoCal model proven and profitable. Expand to NorCal, then Southwest markets. API goes public. Brand partnerships activate.
NorCal and Southwest graph seeded
Public API with paying developer customers
First brand partnership signed with supplier or insurer
Multi-region graph authority established with AI systems
Revenue Milestone
$150k–$300k / mo
Phase 04 · 36–60 Months
National Data Economy
National coverage. All seven revenue surfaces active. The graph is a strategic asset. Acquisition conversations become possible if desired.
National graph coverage across major metros
All seven surfaces generating revenue
B2B licensing at scale — national insurers and property groups
Acquisition optionality available if pursued
Revenue Milestone
$500k+ / mo
Unit Economics — What the Math Looks Like

No fake projections.
Just the math on what we know is real.

Three scenarios based on conservative assumptions about upgrade conversion rates from claimed profiles. These numbers reflect Surface 01 alone — profile upgrades — without B2B licensing, API, or brand partnership revenue layered on top.

Base Case
100 Upgraded Profiles
$15k
per month · recurring
The first milestone
100 upgraded profiles at $150/month. Achievable within 3–4 months of active outreach. This is proof of model — real contractors, real revenue, real recurring income from a single surface.
Profiles upgraded
100
Monthly per profile
$150
Monthly recurring
$15,000
Annual run rate
$180,000
Full Potential
1,000+ Upgraded + B2B
$200k+
per month · combined surfaces
Surface 01 + Surface 03 combined
1,000 upgraded profiles plus two active B2B licensing deals. This is not a ceiling — it's a conservative combined estimate of the first two revenue surfaces at meaningful scale. Surfaces 04 through 06 are additive on top.
Profile upgrades (1,000)
$150,000
B2B licensing (2 deals)
$5,000–$10,000
Telosima consulting
$10,000–$30,000
Combined monthly
$200,000+
The Telosima Relationship

Two products.
One flywheel.

TradeOutpost and Telosima are not competing products. They're a platform and a practice that feed each other. Understanding this relationship is key to understanding the full business architecture.

TradeOutpost · The Platform

Where the graph lives and grows

TradeOutpost is the public-facing graph. It's where contractors claim profiles, where homeowners find verified service businesses, and where AI systems pull structured entity data when answering local service queries.

It generates recurring subscription revenue from upgraded profiles, B2B licensing revenue from the data, and API revenue from developers. It's the product that scales.

Contractor claims profile and sees schema score
Upgrade conversation begins on the platform
Contractor wants deeper schema authority — referred to Telosima
Telosima engagement improves entity across the full web
Higher entity authority strengthens TradeOutpost graph overall
Telosima · The Practice

Where the deep architecture lives

Telosima is the graph architecture and schema consulting practice that built the infrastructure TradeOutpost runs on. For businesses that want to go beyond a platform profile — full entity authority, custom graph architecture, AI retrieval optimization across their entire web presence — Telosima is the next layer.

The consulting pipeline flows naturally from TradeOutpost. Every business that discovers what structured data does for their discoverability and wants more of it is a warm Telosima lead. The platform is the top of the funnel. The practice captures the high-intent buyers at the bottom.

No cold outreach required. No paid acquisition. The flywheel generates the leads.

Acquisition Optionality — The Long Game

We're building to own it.
But the option exists.

This is not the exit plan. It is the recognition that building this graph correctly creates strategic value that multiple categories of acquirers would pay significant money for. That option increases in value with every surface activated above.

What makes the graph acquisition-worthy

Depth of structured data. AI citation authority. Verified licensing coverage. Geographic specificity. The combination of these in a single platform — built on modern linked data architecture rather than legacy directory infrastructure — is genuinely rare.

A competitor building from scratch today starts with zero graph edges, zero citation authority, and zero claimed profiles. TradeOutpost's head start is not catchable by throwing money at the problem. Graph authority takes time. That time advantage is the acquisition premium.

Who would acquire and why

Angi / IAC
Structured data infrastructure they never built. AI-era readiness they need urgently.
CoStar Group
Residential service graph to complement commercial real estate data dominance.
Zillow / Opendoor
Contractor network for their home services and iBuying repair pipelines.
Major Insurer / Carrier
Vetted contractor database for claims referral — eliminates their biggest operational pain.
Proptech Platform
Structured service data to power AI-native home ownership products.
AI Search Company
Proprietary structured local entity data for local service AI retrieval.
Summary — All Seven Surfaces

The full revenue architecture
at a glance.

# Revenue Surface Type Unit Economics Activation Threshold
01
Profile Upgrades
Recurring subscription · per contractor
B2C Subscription
$150/mo per profile
500 = $75k/mo
Active Now
02
Telosima Consulting Pipeline
Schema & graph consulting · warm leads from platform
B2B Services
$2k–$10k / engagement
$1.5k–$3k/mo retainer
Active Now
03
B2B Data Licensing
Insurance, property management, real estate firms
B2B Licensing
$12k–$60k / yr per deal
Annual contract
500+ Verified
04
API Access
Developers, proptech, AI tooling platforms
B2B SaaS
$299–$999/mo tiered
Enterprise custom
Graph Depth
05
Vertical Expansion
Real estate, legal, medical, insurance categories
Revenue Multiplier
×4–×8 addressable market
Mirrors Surface 01
SoCal Baseline
06
AI Era Brand Visibility
Tool suppliers, material brands, commercial insurers
B2B Partnership
$24k–$120k / yr
Category exclusive
Citation Authority
07
Graph as Acquisition Asset
Strategic M&A optionality — not the plan, the option
Strategic Asset
Revenue multiple +
Data asset premium
3–5 Years
Surface 08 — Real Estate Listings

Property listings as
machine-readable graph nodes.

Every listing a realtor publishes through TradeOutpost becomes a structured, AI-citable entity — connected to the agent profile, neighborhood, county, and the contractor network already built around it. Not a thumbnail on someone else's platform. A node in the graph.

Per-listing schema build
Each listing page gets full JSON-LD markup, county and neighborhood graph connections, and verified agent entity linking. Built once. Citable permanently.
$199–$399 / listing
Agent profile subscriptions
Agents who list regularly pay monthly to keep their profile featured and their DRE license verified at the top of their schema score. Every listing they publish connects back to their hub node.
$150–$250 / mo per agent
Brokerage packages
One conversation with a broker covers the entire team. All agents profiled, all listings schema-built, the brokerage entity as a verified hub connected to every agent and listing in their portfolio.
$500–$2k / mo per brokerage

The graph is being built.
Now is when it compounds.

The entities are indexed. The architecture is designed. The monetization surfaces are sequenced. What happens next is execution — claimed profiles, pipeline runs, first upgrades, first B2B conversations. The window to build deep authority in this space is open now and won't stay open indefinitely.