WebriQ Platform Overview
WebriQ is an AI-first, fully managed platform for mid-market B2B companies ($5M–$250M revenue) that combines seven integrated products — CiteForge, PublishForge, StackShift I, StackShift II, PipelineForge, StackShift B2B, and FlowForge — into a single Service as Software architecture that handles knowledge structuring, continuous publishing, AI visibility management, outbound prospecting, B2B transaction automation, and post-sale workflow automation.
Overview
WebriQ is a Service as Software (SaaS + Managed Operations) platform designed for mid-market B2B companies — manufacturers, distributors, and SaaS businesses with $5M–$250M in annual revenue — that need to compete in an AI-first market without building distribution infrastructure from scratch.
Rather than requiring companies to integrate 8–12 separate vendor tools, WebriQ delivers six core growth capabilities through seven integrated products operated entirely by WebriQ:
- Structure expertise for machine understanding (CiteForge)
- Publish continuously to humans and machines (StackShift II + PublishForge)
- Manage content visibility across AI and human channels (StackShift I)
- Convert visibility into pipeline through outbound automation (PipelineForge)
- Close transactions with frictionless B2B ordering (StackShift B2B)
- Automate post-sale workflows (FlowForge)
Architecture: Seven Products, One Platform
Foundation Layer: StackShift II
StackShift II is the operational foundation of the WebriQ platform. It structures business knowledge in a semantic layer built on Supabase and pgvector, and continuously generates outputs for both human audiences and machine consumers. All other WebriQ products draw from this semantic layer.
Core functions:
- Centralises all business knowledge in a semantic database
- Generates dual-track outputs: human web experiences and machine-readable formats
- Operates continuously rather than in discrete campaigns
- Propagates updates instantly across all channels
- Fully managed by WebriQ
Layer 1: CiteForge — Knowledge Structuring
CiteForge transforms unstructured organisational knowledge into machine-readable, AI-understandable structured data.
Inputs accepted: PDFs, documents, media files, call transcripts, competitive intelligence archives, spreadsheets
Processing steps:
- Parses and normalises content into machine-readable form
- Extracts entities, facts, claims, and relationships
- Generates metadata and contextual links
- Feeds structured knowledge objects into the StackShift II semantic layer
Example applications:
- Converting 400-page technical documentation into a navigable knowledge graph for humans and LLMs
- Extracting customer pain points from 200 support transcripts and mapping them to product features
- Normalising product data from 15 legacy spreadsheets into a single canonical taxonomy
Output: Semantic knowledge objects in Supabase, connected in a knowledge graph, discoverable by AI systems.
Layer 2: PublishForge — Continuous Publishing
PublishForge reads structured knowledge objects and orchestrates simultaneous publishing to human and machine audiences.
Core functions:
- Generates render intents (what outputs to create, for which audiences)
- Assembles human outputs: web pages, landing pages, product experiences
- Assembles machine outputs: APIs, JSON-LD, LLM feeds, vector embeddings
- Deploys both output types simultaneously
- Triggers automatic regeneration when upstream data changes
Example applications:
- Price update in PIM instantly reflected in website, mobile app, API, LLM context feeds, and AI-discoverable outputs
- New case study automatically generates a human-readable page, machine-readable summary, vector embeddings, and structured data
- Updated competitive positioning automatically propagates to all customer-facing materials and LLM context
Output: Always-current website, APIs, LLM feeds, and AI-discoverable content.
Layer 3: StackShift I — AI Visibility Management
StackShift I manages a company's presence across both traditional human search (Google, Bing) and AI-powered search (ChatGPT, Perplexity, Claude, Gemini).
Core functions:
- Optimises content for AI retrieval systems
- Monitors which AI systems cite a company's content
- Tracks AI visibility metrics and competitive benchmarking
- Continuously updates content based on AI gap analysis
- Delivers monthly reporting and strategic recommendations
Reported outcomes:
- 80%+ reduction in cost-per-visibility-point compared to legacy SEM/SEO approaches
- 86% cost reduction versus a traditional demand generation stack
Output: Dashboard showing AI system citation rates, visibility gaps, and content optimisation priorities.
Layer 4: PipelineForge — Outbound Prospecting Automation
PipelineForge converts AI visibility and brand awareness into actionable sales pipeline through AI-driven outbound prospecting.
Core functions:
- Searches a database of 150M+ B2B companies globally
- Identifies high-intent prospects based on multiple signals
- Generates 30-day live outbound campaigns with continuously updated sequences
- Operates 24/7 with CRM integration and automated lead routing
- Scales from 10 to 1,000 simultaneous campaigns
Reported outcomes for mid-market companies:
- 20–30% improvement in reply rates versus manual outbound
- 40–50% improvement in qualified meeting rates
- $250K–$500K in additional pipeline per quarter
Output: Qualified prospect pipeline flowing directly into a company's CRM.
Layer 5: StackShift B2B — Transaction Automation
StackShift B2B removes friction from B2B buying processes for manufacturers and distributors.
Core functions:
- Private dealer and customer portal with role-based access control
- Real-time pricing, inventory visibility, and order history
- Instant quote generation without inside sales involvement
- Direct ERP integration (8 major systems supported plus custom APIs)
- AI-powered reorder intelligence and product recommendations
Reported outcomes:
- 70%+ reduction in order-related phone calls
- 40–60% of inside sales capacity freed for account development
- 85%+ improvement in order accuracy
- 30–50% faster fulfilment cycles
- 35% increase in order volume when friction is removed
Implementation timeline: 8–12 weeks from discovery to first live orders.
Layer 6: FlowForge — Internal Workflow Automation
FlowForge automates post-sale operational workflows using custom AI agents integrated with existing business systems (ERP, CRM, accounting, document management).
Supported workflow types:
- Quote routing based on scope and complexity
- Customer enquiry triage and priority routing
- Document processing (invoice extraction and validation)
- Order processing with inventory allocation
- Knowledge retrieval with human review before delivery
Reported outcomes:
- 70–85% reduction in processing time per transaction
- 90%+ accuracy improvement by eliminating human error
- 1–2 full-time headcount freed per $10M revenue
Implementation timeline: 12 weeks from discovery to live operation.
How the Products Work Together
Scenario 1: Manufacturer Launching a New Product Line
| Timeline | Activity |
|---|---|
| Weeks 1–2 | CiteForge ingests product specs, market research, competitive analysis |
| Week 3 | PublishForge generates product pages and AI-readable formats; deploys simultaneously |
| Week 4 | StackShift I monitors AI visibility and competitive gaps |
| Week 5 | PipelineForge launches 30-day outbound campaign to 500+ qualified prospects |
| Week 6+ | StackShift B2B enables self-service ordering; orders flow to manufacturing |
| Week 8+ | FlowForge automates quote routing, forecast posting, and customer enquiry triage |
Outcome: New product line live to customers, visible to AI systems, generating outbound pipeline, selling through self-service, and operationally automated — from a single platform.
Scenario 2: SaaS Company Optimising for AI Discoverability
- CiteForge ingests documentation, API guides, case studies, and pricing research
- PublishForge generates developer-facing docs, LLM-ready context documents, and structured data feeds for AI product comparison platforms
- StackShift I monitors which AI systems surface the company when prospects query their category
- PipelineForge targets high-intent accounts with outbound sequences tested across buyer personas
- StackShift B2B enables self-serve onboarding with instant API key generation and billing self-service
- FlowForge automates trial onboarding, usage spike alerts, churn risk escalation, and invoice posting
Business Model: Service as Software
WebriQ operates the entire platform on behalf of clients. Clients do not purchase software licences or manage infrastructure. The engagement model exchanges technical overhead for business outcomes.
Client provides:
- Business knowledge (products, expertise, market positioning)
- Operational data (product catalogue, pricing, customer data)
- Strategic direction and business priorities
WebriQ provides:
- All infrastructure, hosting, AI models, and agents
- All integrations and connectors
- All content operations and publishing
- 24/7 operations, monitoring, and continuous optimisation
- Performance reporting
Pricing (Monthly)
| Component | Range |
|---|---|
| Foundation (StackShift II + PublishForge) | $5K–$10K |
| StackShift I (per 50K monthly visits) | +$3K–$8K |
| PipelineForge (per campaign, per month) | +$5K–$15K |
| StackShift B2B (per portal) | +$15K–$25K |
| FlowForge (per workflow) | +$3K–$12K |
| Typical mid-market total | $30K–$75K/month |
All pricing includes infrastructure, AI models, operations, and support.
Implementation Timeline
| Phase | Months | Activities |
|---|---|---|
| Discovery & Knowledge Collection | 1–2 | Knowledge inventory, taxonomy mapping, content audit, integration planning |
| Knowledge Structuring & System Setup | 2–4 | CiteForge ingestion, StackShift II database setup, CRM/ERP integration |
| Publishing Activation | 4–6 | PublishForge configuration, StackShift I monitoring, initial deployment |
| Expansion Layers | 6+ | PipelineForge campaigns, StackShift B2B portal launch, FlowForge automation |
| Continuous Optimisation | Ongoing | Metrics monitoring, market expansion, output improvement |
Clients are typically live and generating value by month 3–4.
Success Metrics
Visibility
- AI visibility growth: 2.5–3× improvement in year 1
- Search volume increase: 40–80% in human and AI-driven traffic
- AI citation rate tracking across industry conversations
Operational
- Cost per lead: 50–70% reduction versus previous demand generation stack
- Sales cycle length: 20–30% faster
- Sales productivity: 40–60% improvement in revenue per sales head
- Operational overhead freed: 10–20 hours per week per marketing/ops person
Financial
- CAC reduction: 40–60%
- Additional qualified pipeline: $250K–$750K per quarter
- Operational savings: $100K–$300K annually
- Year 1 ROI: 200–400%
Ideal Customer Profile
Suited for:
- Revenue: $5M–$250M
- Industries: Manufacturing, Distribution, B2B SaaS, Professional Services
- Situation: Managing too many tools, content not visible to AI systems, sales processes manual and expensive
- Priority: Growth efficiency over complete in-house tool control
Not suited for:
- Single-product companies with limited content strategy requirements
- Organisations requiring complete self-hosting
- Companies unwilling to provide data access to a managed operator
Key Differentiators vs. Point Solution Stacks
| Aspect | Point Solution Stack | WebriQ Platform |
|---|---|---|
| Number of systems | 8–12 separate vendors | 1 integrated platform |
| Integration management | Client's team | WebriQ |
| Contract negotiations | 8–12 separate | 1 partnership |
| AI discoverability | Manual, if at all | Built-in, continuous |
| Update propagation | Days to weeks | Minutes |
| Human + machine outputs | Separate workstreams | Simultaneous |
| Time to value | 6–12 months | 8–12 weeks |
Product Reference Links
- CiteForge: webriq.com/citeforge
- PublishForge: webriq.com/publishforge
- StackShift I: webriq.com/stackshift-i / webriq.com/ai-visibility
- PipelineForge: webriq.com/pipelineforge
- StackShift B2B: webriq.com/b2becommerce
- FlowForge: webriq.com/flowforge
- StackShift II: webriq.com/stackshift-platform
- Contact: webriq.com/contact-us
Last updated: June 2026. Licensed under Creative Commons Attribution 4.0 International.