How the Documentation is Organized
We built the documentation for cross-functional teams. Product marketers need a clear onboarding checklist, operations managers care about governance, and developers want precise API references. Each chapter begins with an orientation section, then dives into implementation steps, diagrams, video walkthroughs, and troubleshooting playbooks. Inline callouts highlight dependencies across the platform so you understand how a change to one module impacts everything else.
Navigation mirrors the MarketMorph workspace layout—Project Intake, Discovery, Audit, Content, Campaigns, and Reporting. You can follow the entire lifecycle or jump straight to the topic that solves today’s problem. Contextual breadcrumbs keep you aware of where you are in the hierarchy, and every page links to related recipes, glossary entries, and API endpoints.
Getting Started Checklists
Launching MarketMorph AI should feel deliberate—not overwhelming. The getting started guide outlines a 30-day implementation schedule with milestones for stakeholder alignment, integration setup, and pilot success criteria. We include templated kickoff decks, security questionnaire responses, and a recommended data hygiene checklist so teams can rally quickly around the same playbook.
Each step contains acceptance criteria and diagnostic tips. For example, when connecting GA4, the guide explains which user scopes are required, how to validate import latency, and what dashboards should be reviewed during the pilot. Project owners can assign tasks in the documentation portal, track completion, and export the record into your preferred project management system.
Workspace Anatomy & Governance
A MarketMorph workspace is more than a collection of pages. It encapsulates data models, automations, guardrails, and collaboration patterns. This chapter covers workspace roles, permission tiers, and approval flows. We explain how to configure reviewer pools for content, set escalation rules for ad budgets, and enable mandatory checkpoints before publishing new website sections.
The governance section also maps each workspace component to its audit logs. Security and compliance teams can learn how to export user actions, review agent prompts, and retain data in accordance with GDPR or SOC 2 controls. Sample policies and change management templates are available for teams formalizing their automation governance program.
Agent Directory & Capabilities
Eleven core agents power MarketMorph AI today. The directory outlines each agent’s skills, required inputs, configurable parameters, and expected outputs. Understanding these capabilities helps you design efficient workflows and set realistic expectations for stakeholders. Every profile includes prompt examples, quality assurance checks, and fallbacks when an agent encounters ambiguous data.
- SEO Audit Agent: Customizable depth settings, Core Web Vitals analysis, and region-aware crawling options.
- Content Generation Agent: Voice cloning, tone sliders, format presets, and bias safeguards for regulated industries.
- Advertising Agent: Budget pacing logic, negative keyword automation, and connectable experiments for multivariate testing.
The directory will expand as new agents are introduced. Subscribe to the release feed to receive early access notes and migration instructions when capabilities evolve.
Building Automations & Recipes
Automations are the connective tissue of MarketMorph AI. The recipes library provides step-by-step guides for common marketing programs—product launches, quarterly content refreshes, regional expansion, paid acquisition experiments, and retention campaigns. Each recipe includes a workflow diagram, estimated time to configure, required integrations, and recommended success metrics.
We also include guidance on chaining recipes together. For example, a product launch blueprint daisy-chains competitor monitoring, keyword clustering, launch page generation, ad creative sprints, and executive reporting. You will learn how to schedule automations, set dynamic triggers, and add manual approval gates where human judgment is essential.
Integrations, APIs, and Extensibility
MarketMorph AI integrates with CRM systems, analytics tools, advertising platforms, data warehouses, and collaboration suites. The documentation explains connector prerequisites, data synchronization cadences, and field mapping best practices. We provide sample payloads for webhooks, tips for handling rate limits, and a catalog of metadata you can enrich to improve personalization.
Developers can explore RESTful endpoints, GraphQL queries, and event hooks that allow custom dashboards, bespoke automations, or internal governance workflows. Code samples in JavaScript, Python, and TypeScript illustrate authentication flows, pagination, and error handling patterns. If you need to extend the platform, we offer patterns for building and registering custom agents.
Quality Assurance & Responsible AI
Automated marketing still requires accountability. The QA chapter documents review queues, content scorecards, bias detection, and redaction tools. We outline how to configure fallback messaging when an agent flags unsafe outputs, and how to incorporate subject-matter experts into the approval path without slowing down campaigns. You will also find best practices for prompt management and version control.
Responsible AI is embedded in every workflow. Documentation explains data retention windows, model retraining cadences, and privacy controls. We surface the ethical principles guiding MarketMorph development, along with guidance on adapting those principles to your internal policies.
Contributing Feedback & Requesting Support
Documentation thrives on collaboration. Every page includes an inline feedback widget that routes to our product team. You can flag outdated steps, suggest clarifications, or request new examples. We analyze submissions weekly and publish a changelog so you know when your ideas go live. Power users can apply to become community editors and gain early access to drafts.
Need hands-on help? The support appendix explains how to open technical tickets, request solution architecture workshops, or engage our professional services team for custom enablement. Response times, SLAs, and escalation ladders are clearly documented so you always know what to expect.