SegOps Platform Architecture

Vision#

The intelligence layer connecting users, products, and AI discovery.

SegOps is a modular platform. Each module answers a distinct strategic question and can be adopted independently. All modules share a common foundation, so signals from each one enrich every other — the more of SegOps you use, the smarter each part becomes.

Core Platform (Shared Foundation)#

Every module is built on a shared foundation, so your data, identity, and AI capabilities are consistent across the platform.

Module 1 — SegOps#

Domain: User Intelligence

Capabilities#

• Segmentation engine: rich condition types, AND/OR logic, and versioned definitions
• Visual rule builder plus an AI segment builder that turns plain English into segments
• Behavioral event tracking with a self-serve schema registry
• Always-fresh, pre-computed segment membership
• Activation connectors: Klaviyo, Braze, Talon.One
• Developer tools: User Explorer, Event Sandbox, and per-condition "why does this user match?" explanations
• Delivery API: real-time membership checks and bulk member export

Availability: Available today.

Module 2 — SegOps PIM#

Domain: Product Intelligence

Capabilities#

• Product ingestion from CSV, API, and Shopify feeds
• Schema mapping: map your source fields to a canonical model, with AI assistance
• AI enrichment: attribute completion, description generation, and taxonomy normalization
• Product relationships: similar products, collections, and substitutes
• Product segmentation (see below)
• Landing Page API: turn a query into a matched set of products

Product Segmentation#

Product segments are dynamic collections of products defined by layered rules across three families. They use the same rules engine and visual builder as user segments, so anything you can express for users you can express for products.

Condition Family 1: Product Attributes

Rules on intrinsic product properties.

category = "running shoes"
price BETWEEN 80 AND 200
in_stock = true
brand = "Nike"
material CONTAINS "mesh"

Condition Family 2: User Behavior Signals

Rules on how your audiences interact with products — a bridge to Module 1.

viewed_by_segment = "high-ltv-customers"
purchased_by_segment = "churned-users"
add_to_cart_rate > 0.15   (last 30 days)
conversion_rate < 0.02

Condition Family 3: AI Visibility Metrics

Rules on how AI systems perceive and surface products — a bridge to Module 3.

ai_mention_rate > 0.05
share_of_voice > 10
not_ai_visible = true     (0 mentions in last 30 days)
ai_sentiment = "positive"

Layered Example (cross-module query)

category = "running shoes"
AND purchased_by_segment = "high-ltv-customers"
AND not_ai_visible = true
AND in_stock = true

Output: products that your best customers love but AI never mentions — prime candidates for optimization and landing-page generation.

Availability: Available today.

Module 3 — AI Visibility & Optimization#

Domain: Discovery Intelligence

Capabilities#

• AI query tracking across major assistants (ChatGPT, Perplexity, Claude, Gemini, Grok)
• Visibility metrics: mention rate, average rank, share of voice, and sentiment
• Competitor intelligence: cross-query benchmarking, trend alerts, and win rate
• AI referral detection and attribution
• Query simulation: test queries, compare results, and replay history
• Optimization engine: AI-readability scoring and content recommendations
• Landing page generator: query-driven pages at scale
• Distribution: llms.txt, schema.org structured data, product feeds, and syndication tracking

Availability: Available today.

Cross-Module Intelligence#

The platform's real advantage is answering questions no single-purpose tool can:

Pricing Model#

SegOps is priced by module, so you only pay for what you use. Start with any one module and add the others as you grow.

Most customers start with AI Visibility — it answers the question every brand is asking right now ("are we showing up in ChatGPT and Perplexity?") — and expand into user and product intelligence from there.