How We Work
Every B2X Software engagement begins with structure and ends with a system built for the Agentic Era — discoverable by humans, readable by machines, transactable by AI agents. This page describes what working with us looks like at every stage.
Structure turns complexity into order.
How we structure every engagement
Most digital projects fail not because of poor engineering, but because of poor structure at the outset. Requirements are ambiguous. Architecture is decided in week six. Agentic readiness is bolted on after launch — or not at all.
B2X applies a structured eight-step process to every project. Discovery comes first. Protocol integration is engineered in from day one. SEO and GEO are built into the information architecture before the first line of code is written. The result is a platform that works for users — and for the AI agents that increasingly mediate discovery, recommendation, and purchase.
The B2X delivery process
Step 01
Discovery
We start by understanding your business objectives, existing system landscape, data architecture, and technical constraints. We map your current agentic readiness across all four layers of the B2X Agentic Readiness Framework™ — Data, Execution, Performance, and Trust — and produce a scored Agentic Readiness Report with a prioritized action roadmap. Discovery is a paid, structured engagement that produces actionable intelligence regardless of whether you proceed with a full build.
Step 02
Architecture & proof of concept
Based on discovery findings, we define the system architecture, information model, and integration strategy. For complex or novel requirements, we build a proof-of-concept to validate core technical assumptions before committing to full development. This stage reduces downstream risk, surfaces integration complexity early, and ensures that the entire team — including your internal stakeholders — has a shared understanding of what we are building and why.
Step 03
Engineering & development
Iterative development in structured sprints. Frontend, backend, integrations, and agentic protocol layers are built in parallel where possible. MCP, UCP, ACP, and A2A protocol endpoints are implemented alongside the core commerce infrastructure — not as an afterthought, but as a first-class engineering concern. Schema.org structured data is authored at the content modeling stage, not retrofitted after launch. For Shopify and Shopify Plus implementations, MCP compatibility is configured and validated from the first sprint.
Step 04
Iterations & review
Each sprint concludes with a structured review and feedback loop. Functional requirements, UX decisions, and data model design are refined based on real system behavior — not assumptions made in week one. Scope changes are managed through a structured change process so delivery timelines remain predictable. Our iterative model means stakeholders see working software early and often — not after six months of silence.
Step 05
Testing & QA
Comprehensive testing across three dimensions: functional QA for human-facing flows, performance benchmarking against Core Web Vitals thresholds and load requirements, and agentic protocol testing — verifying that MCP endpoints, structured data outputs, and API surfaces behave correctly under real AI agent query patterns. Schema.org markup is validated against Google’s Rich Results Test and Schema.org validator. Performance targets are defined during Discovery and validated before release.
Step 06
Launch & handover
Controlled production deployment with rollback-ready configuration. We handle DNS cutover, CDN configuration, deployment pipeline setup, and monitoring instrumentation. Handover includes complete system documentation, knowledge transfer sessions, and operator training so your team owns and can maintain what we built. For DACH clients, all infrastructure is deployed to EU-region servers by default, ensuring GDPR compliance under Article 44.
Step 07
Support & ongoing development
Post-launch, we offer structured retainer engagements for continued platform development, incident response, and feature iteration. Agentic protocols evolve rapidly — the MCP specification, UCP manifest standards, and ACP transaction models are all actively developing. Retainer clients receive protocol compatibility updates and Agentic Readiness Score re-assessments as the ecosystem changes. Support retainers are scoped by hours or structured as monthly fixed engagements.
Step 08
SEO & GEO visibility
Technical SEO and Generative Engine Optimization are integrated into every B2X project — not treated as a separate service to be bolted on after launch. We structure content for machine extraction, implement FAQPage, Article, and HowTo Schema.org markup, and monitor citation frequency across ChatGPT, Gemini, Perplexity, and Claude. GEO content is written to maximize extractability: definition blocks, framework descriptions, numbered models, and comparison structures that LLMs preferentially cite. For DACH clients, we also build topical authority in German — a language where virtually no quality Agentic Commerce content yet exists, creating a significant first-mover ranking opportunity.
The outcome
An agent-native platform
A B2X-delivered platform achieves four things simultaneously: it performs for human users, ranks in traditional search, gets cited by AI systems, and is transactable by AI agents. Each step in this process contributes to that outcome — not as a marketing claim, but as an engineering result.
What is an agent-native platform?
An agent-native platform is a commerce or web system that has been engineered from the data layer upward to be discoverable, parseable, and transactable by AI agents — not just by human users. It exposes structured product data, clean API surfaces, protocol endpoints (MCP, UCP, ACP, A2A), and Schema.org markup that enable AI systems to evaluate, recommend, and execute transactions programmatically.
How to engage
You can enter the B2X process at any stage, depending on your current situation.
Agentic Readiness Audit — standalone, 1–2 weeks, full ARS report with action roadmap
Agent Visibility Optimization — structured optimization project, 4–8 weeks, no full build required
Agentic Storefront or Platform Build — full eight-step process, 2–6 months
Agent Performance Retainer — ongoing support, development, protocol updates, and GEO — begins immediately after project delivery
The Discovery Phase is strongly recommended even for partial engagements. Without a clear readiness baseline, optimization work risks addressing symptoms rather than root causes.
FAQ
Common questions about how we work, our process, and what to expect from a B2X engagement.
You can enter at any stage. If you already have a platform and need Agent Visibility Optimization, we begin there. If you need SEO and GEO services as a standalone retainer, that is available independently. The Discovery Phase is strongly recommended even for partial engagements — it prevents costly missteps during implementation by establishing a clear readiness baseline first.
A standard scoping call produces a proposal. Our Discovery Phase produces a scored Agentic Readiness Report across all four layers of the B2X Agentic Readiness Framework™ — with individual layer scores, a gap analysis, and a prioritized action roadmap. It is a paid, structured engagement — typically one to two weeks — and produces actionable intelligence regardless of whether you proceed with a full project.
Concretely: MCP (Model Context Protocol) endpoints that expose your product catalog and checkout APIs to AI agents; Schema.org structured data that makes your content machine-readable; UCP and ACP compliance for agent-initiated transactions; and A2A support for multi-agent automation workflows. These are implemented as first-class engineering concerns during development — not retrofitted after launch.
Both. The majority of our DACH engagements involve working with existing Shopify, Shopify Plus, or custom platforms. The Agentic Readiness Audit maps your current data flows and identifies the specific gaps preventing agent readiness. Integration architecture is designed around your existing systems — not around replacing them. We have integrated agentic infrastructure with Microsoft Business Central, Salesforce, and custom legacy backends.
Monthly deliverables include: structured content aligned to LLM citation formats, Schema.org implementation and validation, SERP and AI Overview monitoring, LLM citation tracking across ChatGPT, Gemini, Perplexity, and Claude, keyword cluster expansion, and internal linking optimization. GEO is a continuous process — LLM training cycles, AI Overview source selection, and citation patterns shift regularly, and your content strategy must adapt accordingly.
All infrastructure is configured for EU-region deployment by default for DACH clients. Analytics implementations use EU-hosted, GDPR-native solutions that avoid third-party data transfers under GDPR Article 44. Authentication and identity infrastructure is constrained to EU-resident services. This is not optional configuration — it is our standard implementation for the DACH market.
A typical engagement includes a Product Strategy Lead who owns requirements and stakeholder communication, a CTO-level architect who owns system design and protocol integration, and frontend and backend engineers as required by project scope. For SEO and GEO retainers, a dedicated content strategist and technical SEO analyst are assigned. Team composition is defined during Discovery and documented in the project scope.
Discovery engagements can typically begin within one to two weeks of first contact. For clients with urgent timelines, we offer an accelerated Discovery format that compresses the initial audit into five to seven business days. Full project timelines depend on scope and are defined during Discovery.