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Business AI Presence

Make your business understandable to AI.

Organize and publish trusted information about your business so supported search platforms, assistants, and applications can find accurate answers—and connect people with the right next step.

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What it means

Build a trusted Business AI Layer.

Business information is often spread across websites, profiles, PDFs, catalogs, menus, booking systems, databases, and staff knowledge. Dynflux helps establish an authoritative layer of structured information, synchronized knowledge, controlled access, and approved actions.

That layer can then support the channels and applications that are technically and commercially able to use it.

Diagram: one structured business profile (hours, services, menu, availability) connects to search, maps, assistants and booking platforms, with an approved reserve action.

The problem and the change

When outside platforms cannot reliably understand the business.

  • Today:

    Hours, services, policies, menus, and product information differ by channel.

    What changes:

    Authoritative information and ownership are defined before it is published.

  • Today:

    Each profile, page, feed, or catalog is updated separately.

    What changes:

    Supported channels receive structured information through the interfaces available to them.

  • Today:

    AI experiences may rely on incomplete or outdated public information.

    What changes:

    Compatible applications can retrieve grounded information from approved sources.

  • Today:

    Customers may find information but cannot complete the next step.

    What changes:

    Supported actions such as booking, ordering, quoting, or requesting service can be connected with defined permissions.

Benefit summary
More consistent business information, better readiness for AI-mediated discovery, reusable knowledge, and controlled action paths.

Four stages

From scattered information to useful AI access.

  1. 01 · Organize

    Identify authoritative information, resolve inconsistencies, and establish ownership for keeping it current.

  2. 02 · Publish

    Maintain supported business profiles, website structured data, catalogs, menus, feeds, and platform APIs.

  3. 03 · Answer

    Use retrieval and RAG to provide grounded responses from approved information.

  4. 04 · Act

    Connect approved actions—such as booking, ordering, quoting, or requesting service—through supported APIs, MCP tools, and workflows.

What the layer may contain

The business information AI should not have to guess.

  • 01

    Business identity

    Locations, operating hours, contact information, service areas, and business descriptions.
  • 02

    Products and services

    Catalogs, menus, service details, prices, ingredients, allergens, nutrition, policies, and eligibility information.
  • 03

    Availability

    Inventory, appointment openings, reservation capacity, delivery windows, schedules, and service status.
  • 04

    Approved actions

    Book, reserve, order, request a quote, submit an inquiry, check status, or connect with a person—where supported.

Example

One request, several trusted facts.

To answer accurately, an external experience may need the restaurant’s location, operating hours, menu, ingredients, allergens, nutrition information, reservation availability, and booking path.

Dynflux helps organize and publish that information through the channels and interfaces each destination supports. No single protocol guarantees inclusion across every search or AI platform.

Customer request
“Find a restaurant near me that is open until 10, has a gluten-free entrée under 700 calories, and can seat four people at 7:30.”

Technical layer

The technology underneath.

An implementation may include structured data, profile and catalog integrations, APIs, synchronized knowledge sources, RAG, MCP, schemas, authentication, permissions, real-time data access, action endpoints, tool calling, and audit logs.

Technology is selected around the intended destination and business action. RAG provides grounded retrieval. MCP can provide standardized access for compatible clients. Platform-specific profiles and APIs remain necessary where those platforms require them.

Control

You decide what is authoritative and what may be used.

  • Define which information is public, restricted, or private.
  • Identify the authoritative source for each fact.
  • Control which systems may retrieve information.
  • Require authentication for non-public access.
  • Limit which actions may be requested or completed.
  • Log access and actions according to the implementation.

FAQ

FAQ

No. Each platform controls its own discovery, indexing, partnerships, interfaces, and policies. Dynflux prepares and distributes information through supported channels and builds interfaces for compatible applications.

No. MCP is a protocol compatible AI clients can use to access tools or information. Search visibility also depends on websites, business profiles, structured data, platform feeds, content quality, authority, and each destination’s systems.

Retrieval-augmented generation helps an AI experience find relevant information from approved business sources before generating an answer. It reduces reliance on general model knowledge but still requires testing, permissions, and appropriate response controls.

Sometimes. Actions such as booking, ordering, quoting, or checking status require a supported destination, secure integration, clear permissions, and business rules. Dynflux scopes each action separately.

Yes. Locations, hours, services, policies, menus, and other approved public information can form a practical first phase.

Build a trusted presence for an AI-driven world.

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