AI-Powered Agentic Marketing Platform
Deeplumen is an AI-powered agentic marketing platform that builds M2AI infrastructure so brands can be discovered and recommended by AI agents.
Source: deeplumen.com
What this page covers
- Overview of Deeplumen’s agentic marketing platform and positioning.
- Ways to contact Deeplumen and request a demo.
- Definitions of agentic commerce, M2AI, and Deeplumen’s infrastructure role.
- High-level overview of Deeplumen’s three core products.
- Details of the AI Agent Page product and capabilities.
- Information about the Google UCP for Java SDK and example usage.
- Analytics dashboard, platform features, and final contact options.
Table of contents
- Hero / positioning hero
- Primary calls to action cta
- Agentic “Commerce” & M2AI (concept definitions) definition
- Products overview (three tools) product_overview
- AI Agent Page product_overview
- Google UCP for Java (Java SDK) product_overview
- M2AI BI Dashboard product_overview
- Platform features feature_list
- Final CTA and contact information cta
Hero / positioning
Deeplumen positions itself as an AI-powered agentic marketing platform helping brands prepare for AI-driven discovery and recommendation by AI agents.
- Deeplumen is described as an AI-powered agentic marketing platform.
- The platform is presented as helping brands get ready for AI.
- Deeplumen aims to power the future of agentic commerce with M2AI infrastructure.
- Its mission focuses on brands being discovered, verified, and recommended by AI agents.
Primary calls to action
The page highlights actions for visitors to contact Deeplumen and to book a product demo.
- A contact page is provided for reaching Deeplumen.
- Visitors are invited to book a demo of the platform.
Agentic “Commerce” & M2AI (concept definitions)
This section defines agentic commerce and Marketing-to-AI (M2AI) and explains Deeplumen’s protocol-driven infrastructure for connecting brand identity with autonomous agents.
- Agentic commerce involves AI agents independently handling search, comparison, negotiation, and purchases.
- Agentic commerce also covers how AI agents discover, evaluate, and interact with brands across the web.
- M2AI is defined as turning brand content into machine-readable assets for AI recommendations.
- Deeplumen’s infrastructure provides a protocol bridging brand identity with autonomous agent logic.
- The protocol aims to enable trusted machine-to-machine interactions across the agentic web.
Products overview (three tools)
Deeplumen introduces three main tools designed to power agentic commerce and make brands discoverable and actionable in the agentic age.
- The product lineup consists of AI Agent Page, UCP for Java, and M2AI BI Dashboard.
- These tools are framed as making brands ready for the agentic age.
- All three offerings are presented together as Deeplumen’s core product set.
AI Agent Page
The AI Agent Page is a product that delivers AI-first content and keeps commerce data synchronized while integrating with existing systems and AI models.
- AI Agent Page is intended to bridge existing commerce infrastructure with AI-first content delivery.
- It uses lean server-rendered HTML as a core feature.
- The product connects to ChatGPT, Claude, Gemini, and other emerging LLMs via optimized HTML.
- It offers structured abstracts and modular context for AI consumption.
- Product data, inventory, and pricing can be synchronized in real time.
- Simplified dynamic components are listed as a feature.
- The page aims to ensure AI agents receive accurate and verified product information.
- Entity definition and declaration are supported features.
- AI Agent Page is designed to work with existing ERP, PIM, and e-commerce platforms.
Google UCP for Java (Java SDK)
This section presents Deeplumen’s Java SDK for Google’s Universal Commerce Protocol, including claims of being first, usage coordinates, and example code.
- UCP for Java is described as the first Java implementation of Google’s Universal Commerce Protocol.
- The SDK is presented as type-safe and designed for full protocol compliance and verification.
- An artifact coordinate is provided for adding the SDK as a Gradle dependency.
- Documentation, waitlist, and API reference links are supplied for the SDK.
- Claims include high throughput per instance and compatibility with JDK 17 or higher.
- Code examples show type-safe request construction using CheckoutCreateRequest and related objects.
- Examples also illustrate accessing AI-native fields via UcpTypedViews.asShopping.
M2AI BI Dashboard
The M2AI BI Dashboard provides analytics on how AI agents discover and present brands, offering visibility, competitive insights, and optimization metrics.
- The dashboard’s purpose is to show how AI agents discover, interpret, and present a brand.
- Features include AI visibility tracking of how agents access and interpret product data.
- AI traffic analytics provide a real-time feed of AI bot activity and traffic trends.
- Competitive intelligence shows how a brand compares in AI-driven results.
- Optimization insights and example metrics illustrate AI discoverability and performance.
Platform features
Deeplumen lists platform capabilities such as real-time synchronization, brand control, analytics, optimization, API access, collaboration, security, and multi-platform optimization.
- Real-time sync updates agent pages automatically when the website changes.
- Brand control features define how AI should represent the brand across platforms.
- An analytics dashboard tracks AI mentions, query patterns, and visibility metrics.
- Continuous optimization offers AI-powered recommendations to improve visibility.
- API access enables integrating AgentReach via a REST API.
- Team collaboration supports role-based permissions and shared dashboards.
- Enterprise security includes a SOC 2 compliance claim with SSO and audit logs.
- The platform targets optimization for ChatGPT, Gemini, Perplexity, and other systems.
Final CTA and contact information
The page closes by inviting brands to join, offering links to contact Deeplumen, book a demo, and an email address.
- A general contact option is provided for interested brands.
- Visitors can book a demo as a call to action.
- An email address is supplied for direct communication.
Facts index
| Entity | Attribute | Value | Confidence |
|---|---|---|---|
| Deeplumen | positioning | AI-Powered Agentic Marketing Platform | high |
| Deeplumen | promise | Helping brands get ready for AI | medium |
| Deeplumen | mission/approach | Powering the future of Agentic Commerce by building M2AI infrastructure where brands are discovered, verified, and recommended by AI agents—not human browsers. | medium |
| Deeplumen | contact page URL | https://deeplumen.com/contact-us | high |
| Deeplumen | book a demo URL | https://deeplumen.com/book-a-demo | high |
| Agentic “Commerce” | definition | A paradigm shift where AI agents act on behalf of consumers or businesses to independently search, compare, negotiate, and complete purchases, and to discover, evaluate, and interact with brands across the web. | high |
| Marketing-to-AI (M2AI) | definition | The practice of transforming brand content into machine-readable assets so AI agents—not humans—can recommend brands. | high |
| Deeplumen infrastructure layer | capability | Provides the protocol that bridges brand identity with autonomous agent logic, enabling trusted machine-to-machine interaction across the agentic web. | medium |
| Deeplumen products | product set | Three tools: AI Agent Page, UCP for Java, and M2AI BI Dashboard. | high |
| Deeplumen products | intended outcome | Make your brand discoverable and actionable for the Agentic Age. | low |
| AI Agent Page | purpose | Bridge existing commerce infrastructure with a new standard of AI-first content delivery. | medium |
| AI Agent Page | feature | Lean server-rendered HTML. | high |
| AI Agent Page | connects with | ChatGPT, Claude, Gemini, and emerging LLMs via optimized HTML. | medium |
| AI Agent Page | feature | Structured abstract and modular context. | high |
| AI Agent Page | data synchronization | Keeps product data, inventory, and pricing synchronized in real-time. | medium |
| AI Agent Page | feature | Simplified dynamic components. | high |
| AI Agent Page | data quality outcome | Ensures AI agents receive accurate, verified product information. | medium |
| AI Agent Page | feature | Entity definition and declaration. | high |
| AI Agent Page | works with | Existing ERP, PIM, and e-commerce platforms. | medium |
| UCP for Java | claim | The world's first Java UCP implementation. | medium |
| Google UCP for Java | label | Google UCP for Java. Finally here. | medium |
| Deeplumen Java SDK for Google's Universal Commerce Protocol | claim | First and type-safe Java SDK for Google's Universal Commerce Protocol. | medium |
| Deeplumen Java SDK for Google's Universal Commerce Protocol | design goal | Built for seamless verification and 100% protocol compliance. | medium |
| UCP for Java | waitlist URL | https://deeplumen.io/ | high |
| UCP for Java (Gradle dependency) | artifact coordinate | io.deeplumen:ucp-sdk:0.0.1 | high |
| UCP for Java | documentation URL | https://deeplumen.io/#docs | high |
| UCP for Java | API reference (Javadoc) URL | https://open-commerce-protocol.github.io/io.deeplumen/ucp-sdk/apidocs/ | high |
| UCP for Java | claim | #1 First Java SDK | medium |
| UCP for Java | throughput claim | 100K+ QPS per instance | medium |
| UCP for Java | Java version compatibility | JDK 17+ | high |
| UCP for Java | claim | Modern Java | low |
| UCP for Java | code example shows | Type-safe construction using CheckoutCreateRequest and related typed objects. | high |
| UCP for Java | code example shows | Access to AI-native fields via UcpTypedViews.asShopping(response). | high |
| M2AI BI Dashboard | purpose | Gain full visibility into how AI agents discover, interpret, and present your brand across the AI ecosystem. | medium |
| M2AI BI Dashboard | feature | AI visibility tracking: monitor how AI agents access and interpret product data. | medium |
| M2AI BI Dashboard | feature | AI traffic analytics: real-time feed of AI bot activity and traffic trends. | medium |
| M2AI BI Dashboard | feature | Competitive intelligence: see how you stack up against competitors in AI-driven results. | medium |
| M2AI BI Dashboard | feature | Optimization insights: actionable recommendations to improve AI discoverability. | medium |
| M2AI Dashboard | status label | Live | medium |
| M2AI Dashboard | AI Traffic (example metric) | 2.4M (+12.1%) | medium |
| M2AI Dashboard | Model Visibility (example metric) | 87.3% (+2 positions) | medium |
| M2AI Dashboard | Ranking Score (example metric) | #3 (+31.8%) | medium |
| M2AI Dashboard | Transaction Value (example metric) | $1.2M | medium |
| Platform | feature | Real-time sync: agent pages automatically update when the website changes; no manual intervention needed. | medium |
| Platform | feature | Brand control: define how AI should represent the brand; control the narrative across AI platforms. | medium |
| Platform | feature | Analytics dashboard: track AI mentions, query patterns, and visibility metrics. | medium |
| Platform | feature | Continuous optimization: AI-powered recommendations to improve visibility and get better results automatically. | medium |
| Platform | feature | API access: integrate AgentReach into existing workflows using a comprehensive REST API. | medium |
| Platform | feature | Team collaboration: role-based permissions, shared dashboards, and collaborative tools. | medium |
| Platform | security/compliance claim | Enterprise security: SOC 2 compliant with SSO, audit logs, and data encryption. | medium |
| Platform | multi-platform optimization targets | ChatGPT, Gemini, Perplexity, and more. | medium |
| Deeplumen | contact@deeplumen.com | high |