Brand and information discovery are evolving as agentic and generative AI drive new opportunities for enterprise innovation. Customers expect personalized conversations as well as lightning-fast and accurate retrieval. As capabilities evolve, creativity has never been more essential to building meaningful connections across an array of different channels.

The problem

Knowledge fragmentation is a universal pain point. Critical information is scattered and siloed across technical documentation, support systems, learning academies, community forums, product manuals, and service guides.

When a customer, employee, or partner has a question — whether it’s “Is this shirt available in pink?” or “Where is the nearest product service center?”— they can end up bouncing between portals, struggling with keyword searches that lack business, technical, or product context. This leads to frustrated users, escalated support tickets, lost customers, and lower productivity.

Adobe Brand Concierge

Designed to turn static website browsing into personalized, brand-compliant interactions, Adobe Brand Concierge is an AI-powered conversational tool within the Adobe Experience Cloud. Concierge uses Algolia's generative and agentic AI capabilities to help B2B and B2C customers discover products, compare options, and get instant answers based on trusted, real-time data.

An orchestrator powered by Algolia

While Algolia has long been the gold standard for ecommerce and product search, modern organizations require a search experience that understands a new level of complex content and context, technical concepts, and multi-step implementations across all their knowledge silos.

By integrating Algolia AI, Adobe Brand Concierge provides a retrieval foundation that seamlessly unifies disparate data sources including websites, technical documentation, news, blogs, and video transcripts. Instead of just returning links, Adobe Brand Concierge can deploy persona-driven Algolia AI agents that engage users in discovery-driven conversations and progressively layer answers based on context.

By harnessing Algolia AI, an orchestrator like Concierge goes beyond simple functionality, delivering a powerful interface that enables retrieval that is dynamic and easily scalable.

The orchestrator and the player: It’s all about relevance

With Algolia under the hood, Adobe Brand Concierge acts as an orchestrator, allowing enterprises to keep a direct relationship with customers while providing the surfaces to deliver new, interactive, and intelligent forms of customer and user interaction.

Adobe Concierge is a brand-first AI application that transforms digital properties into dynamic, conversational experiences. Instead of visitors relying on menus or search bars to hunt for information, Brand Concierge guides them through with natural dialogue, anticipating customer needs, answering questions in context, and presenting information in a way that feels like speaking directly with the brand.

Concierge’s personalized recommendations, retail product discovery, and B2C and B2B product evaluations are powered by Algolia AI's search and retrieval engine and agentic capabilities.

By providing fast, accurate, and relevant search results, Algolia AI enables powerful underlying content discovery.

Algolia’s industry-leading hybrid search and AI tools ensure lightning-fast, ultra-relevant document retrieval that grounds LLM responses, enhancing discovery, engagement, conversion, and loyalty.

Serving as a conversational and personalized digital brand ambassador and operating as intelligent middleware, Concierge lets users harness an array of AI agents through low-code editing tools.

Concierge’s AI-powered, customer-facing capabilities provide the conversational and personalized front-end experience for users and is one element of Adobe's Experience Platform.

Retrieval layer

Connecting an Algolia index to the Adobe Experience Manager and Platform enables Concierge’s conversational engine. Each Algolia agent can be tied up to 10 indices or apps that can fetch and generate an answer while maintaining context and relevance.

Rather than operating as a general-purpose chatbot, the Algolia agent’s job is retrieval and response composition using a bounded source.

This means that the AI agent operates within specifically defined limits in relation to capabilities, knowledge base, and autonomy, limiting the risk of AI hallucinations and helping ensure that agents generate verifiable and grounded results and outcomes.

Routing: How does Adobe Brand Concierge choose which Algolia agents to use?

Concierge works by targeting the right elements in the right place of the workflow - in other words, using the technology to access and retrieve information using the appropriate set of agents.

Initiating a conversation using Concierge also describes an intent-based routing, for example, the difference between product information or an order-related ecommerce question.

Concierge operates as a router and orchestrator, invoking specific Algolia agents as needed. By discerning between different types of inquiries based on the user’s question, Brand Concierge discovers Algolia agents via A2A protocol. The Algolia Agent has an agent card that describes the purpose and use of this agent.

Like a real estate agent coordinating other agents, Adobe Concierge acts as the ‘primary’ user-facing interface while Algolia provides the supporting sub-agents.

Architecture and framing

Built around agent-to-agent communication rather than hard-coded API calls, the architecture of the Adobe Brand Concierge and Algolia AI coupling means that a user query will take the following path:

1. A user engages Adobe Brand Concierge
2. Concierge selects the appropriate Algolia agent
3. The Algolia RAG (retrieval augmentation generation) queries the relevant index or app
4. The response is routed back to the user through Brand Concierge

Consequently, Algolia doesn’t simply deliver skills in the abstract; it can serve as an active resource, one the Adobe orchestrator can call on to perform specific, scoped, and bounded work.

The age of the prompt engineer is behind us

Algolia’s powerful AI solutions let Adobe Brand Concierge deliver persona-driven AI that can deploy specialized agents, such as a ‘support assistant’ or an ‘implementation engineer’, capable of asking follow-up questions to better understand the user’s context.

Each Algolia agent is tied to a specific index or app that can fetch context and then generate an answer. Rather than acting as a general-purpose chatbot, the Algolia agent and LLM can retrieve personalized, detailed, and targeted indexed information in a conversational and dynamic format.

What does interoperability look like? How Algolia powers Concierge

Agentic systems within organizational workflows can be compared to a symphony conductor coordinating multiple instruments. Similarly, orchestration involves coordinating various AI systems and processes so that each component contributes at the appropriate moment, ensuring coherent, goal-aligned outcomes.

At the backend of any Brand Concierge implementation are multiple Algolia agent personalities. This means that Concierge can switch between and operate across specialized agentic AI resources that have different capabilities.

Algolia’s powerful search and retrieval engine provides fast, accurate, and relevant results, powering the underlying content discovery that Concierge makes available. Supporting multiple indices and combining our Neural Search, real-time insights, and agentic AI, Algolia can capture user behavior and improve personalization quickly and at scale.

Persona-based capabilities

The persona-based approach pushes the possibilities even further by giving each AI agent its own role, personality, and area of expertise. Instead of interacting with a single, generic system, users engage with a dynamic team of specialized agents.

Each agent is designed to think, respond, and contribute from a distinct perspective. This creates exciting new opportunities for both customers and in-house teams, unlocking more creative interactions and better problem-solving and oversight capabilities.

• Brand-Safe Persona Control: Every persona is strictly constrained by specific Brand Guidelines. Users dictate the tone, for example, authoritative, playful, or concise, so the AI always sounds like an extension of your brand and not like a generic robot.
• Omnichannel Headless APIs & Analytics: It is possible to deploy the experience anywhere -on the web using native iOS/Android, or through conversational bots. The technology lets users harvest rich intent analytics and help determine where documentation and processes need improvement.
• Headless Agent-to-Agent Integration: Algolia isn’t just a UI widget; it is a headless retrieval engine. It seamlessly plugs into massive enterprise orchestrators such Adobe Concierge via the open Agent-to-Agent (A2A) protocol. This allows master agents to automatically discover and query Algolia’s specialized content agents for precise, grounded answers without complex custom integrations.

Calibrating friction

The range of built-in capabilities allows users to introduce a deliberate degree of friction, helping foster a high level of calibration and oversight. As a consequence this ensures that agentic capabilities are not operating purely automatically.

Instead, organizations can embed distinctive elements that shape every output, ensuring that user interactions remain unique, verifiable, unmistakably on-brand, and true to a specific brand voice.

As agentic and generative technologies rapidly proliferate and the digital landscape becomes flooded with AI-generated content, this level of intentional design becomes critical. It allows brands to cut through the noise, stand apart from the sea of generic outputs, and consistently express a voice that is recognizably their own.

Working together, Brand Concierge and Algolia AI also include built-in testing and monitoring capabilities to help ensure quality. The system allows for active human oversight, enabling guidance and optimizations that drive continuous performance improvement.

The human-in-the-loop strategy is also a key element in speeding up various workloads. Working alongside powerful AI agents, team members can create compelling user journeys, generate rich data insights to understand customer segments better, and help modernize site processes.

Way more than search

Whether you are a B2B SaaS company with complex APIs, a B2C retailer with extensive product guides, or a manufacturer with thousands of service manuals, Adobe Concierge and Algolia AI are helping solve the knowledge fragmentation crisis.

If your users frequently complain that they can’t find the right information, or if your support team spend hours answering the same questions over and over again, Concierge can help.

How is Concierge different from a standard RAG application?

Building a custom RAG (retrieval-augmented generation) application requires significant engineering: setting up vector databases, writing data pipelines, crafting complex LLM prompts, managing a conversation state, and building routing logic.

Adobe Concierge provides all of this as a quick-to-implement platform. The complex routing (the “Onion Protocol” for extracting context like tech stack and scale), the persona definitions (Support vs. Architect), and the seamless connection between the LLM and the Algolia AI Retrieval backend are all managed within the Concierge ecosystem.

How does Algolia fit into an AI orchestrator like Adobe Concierge?

Perfectly. Adopting the open A2A (Agent-to-Agent) protocol with Algolia’s standard AgentCard makes integration seamless. As a master orchestrator, Adobe Concierge simply reads the AgentCard to understand what each agent is capable of. It does not need to know how to scrape your website, interpret support APIs, or run complex vector calculations behind the scenes.

Instead, Concierge securely routes content or support queries directly to the Algolia APIs. Algolia’s specialized AI agents handle the heavy lifting by extracting context, retrieving the most relevant information, and synthesizing it into a grounded response. The result is returned to the orchestrator as a structured artifact and message, ready for delivery back to the user.

Rich data insights without the hallucination

By replacing static menus with natural, context-aware dialogue, Brand Concierge provides B2C and B2B users with a range of personalized recommendations that engage rich, complex content while maintaining a consistent brand voice.

Algolia’s natural language search capabilities also allow Concierge to understand user sentiment and intent while unifying data insights. The AI-powered retrieval engine is designed to give internal teams and external users the power to turn scattered documentation into a branded, intelligent, and conversational resource.

Accessing data and documentation

The technology eliminates the ‘where do I search?” problem by unifying a wide range of knowledge bases.

These include:

• Website content such as product descriptions, marketing newsletters, blogs, and FAQs
• Technical documentation and service manuals
• Support knowledge bases, including public guides and troubleshooting articles
• Video transcripts from YouTube tutorials or Academy courses
• Code repositories like Code Exchange

Brand Concierge and Algolia’s persona-driven AI agents drastically improve discovery and comprehension, all while avoiding secure internal file systems, proprietary employee data, or complex, unstructured internal PDFs and sources.

Brand Concierge provides a professional, enterprise-grade solution for any company that has rich, complex content, enabling customers and in-house teams without compromising sensitive data and security protocols.

Zero hallucinations ensured

Since all responses are strictly grounded in the provided knowledge base, if the answer isn’t in your docs, the agent will gracefully admit it doesn’t know, rather than making something up.

Brand Concierge workflows are strictly constrained to use only information retrieved from Algolia indices. A direct citation and link to your source material accompany every claim made by the AI agent. Since the technology provides grounded data from the index, the orchestrator experience does not hallucinate. Instead, it makes decisions based on retrieved assets rather than invented content.

Unlike simple chatbots that give generic answers, Adobe Brand Concierge workflows are designed to extract meaningful content within a clear context.

If a user asks a broad question, the agent will ask clarifying questions such as “Are you looking for a short or long sleeve top?” or “Are you servicing the 2024 or 2025 model of this machine?” The goal is to help users narrow down their search and provide a highly specific, personalized, and tailored answer and user journey.

Conclusion: Enabling multi-agent capabilities

Across both B2B and B2C ecommerce, Adobe Brand Concierge transforms static website browsing into dynamic, personalized, and brand-aligned experiences that unlock entirely new value propositions. Its powerful Algolia-powered AI capabilities not only guide users to the information they need with ease, but also strengthen governance and boost organizational readiness by turning every interaction into a smarter, more engaging user journey.

The future of AI is multi-agent

By enabling a set of headless, specialized agentic AI tools that communicate via the A2A protocol, Adobe Brand Concierge dynamically harnesses capabilities, making it easy for users to access grounded and accurate content.

Algolia AI has become the invisible retrieval engine powering the world’s largest branded AI experiences. With Algolia AI under the hood, Adobe Brand Concierge allows:

• CMOs and brand leaders to personalize, brand-safe consumer conversations at scale
• B2B sales and enablement teams to employ an AI assistant for rapid RFP generation and live technical Q&A on sales calls
• Product and support teams to consolidate and access siloed and fragmented documentation, academies, service manuals, and support portals
• Merchandising and marketing teams ensure that customer journey and AI-generated responses align with brand voice and data privacy standards
• AI engineering teams to enable a plug-and-play headless retrieval engine and access a range of powerful AI powered tools

By providing RAG-enhanced contextual conversations, Algolia matches user intent with brand-approved content and data for accurate, secure, and personalized interactions.

Adobe Brand Concierge’s natural language capabilities and support for conversational text and voice-based interactions open up a range of innovative possibilities without the need to call on developer support - saving time, money, and valuable human resources.

---

To learn more about how Adobe Brand Concierge and Algolia AI can transform the B2B and B2C experience for your customers and team members, contact us to request a demo.

Schedule a demo today