B2A (Business to Agent) refers to the alignment of a company's offerings, data, and communication with AI agents. An AI agent is an AI system that pursues a goal, plans tasks, uses tools, and independently executes steps within clear rules. This core principle is precisely what distinguishes... Click to learn more . AI agents conduct research on behalf of humans, compare providers, make recommendations, and prepare or execute inquiries, bookings, or purchases. Business to Agent thus complements B2B. B2B Definition: B2B stands for Business to Business and describes business relationships between companies. A B2B company does not sell products, services, or solutions to... Click to learn more and B2C by adding a third target group . Definition of Target Group: A target group (also target audience) is a specific group of people or buyer groups (such as consumers, potential customers, decision-makers, etc.)... Click to learn more : the machine intermediary between your business and the person who ultimately makes the decision.
In short: In B2A, you're not just writing for people, but also for the software that makes the initial selection for them. If an AI agent doesn't clearly understand your offer, your business won't even be included in that initial selection. Humans won't even see your website in the first place.
B2A Meaning: What Business to Agent actually means
The significance of B2A can be illustrated by a simple shift. Previously, a person would Google, click on ten links, and compare them themselves. Today, a person formulates a request, for example: "Find me an installer in Bolzano who has an appointment available next week and services heat pumps." An AI agent then takes over the research, the comparison, and often even the initial contact.
In this context, an AI agent is software that not only provides answers but also performs tasks in several steps: reading sources, comparing information, filling out forms, and suggesting appointments. The concept of agents taking on marketing tasks themselves is described in the glossary entry for agentic marketing . Business-to-agent marketing reverses this perspective: it describes how your business becomes understandable, comparable, and reliable for other people's agents.
Analysts expect a rapid proliferation of agentic systems. Gartner predicts that by 2028 at least 15 percent of everyday work decisions will be made autonomously by agentic AI . Artificial intelligence is the umbrella term for digital systems that recognize patterns in data and take over tasks that would otherwise require human perception, judgment, or decision-making... Click to learn more , compared to 0 percent in 2024. In another forecast, Gartner expects that by 2028 around 33 percent of enterprise software applications will contain agentic AI.
B2A, B2B and B2C compared
B2A does not replace B2B or B2C. B2A describes an additional layer that is inserted in front of both models. The differences at a glance:
- B2B (Business to Business): Your company sells to other businesses. Crucial factors are expertise, reliability, relationships, and often a multi-stage purchasing process involving several parties.
- B2C (Business to Consumer): Your business sells to end customers. Emotion and trust are crucial. brand experienceDefinition of Brand Experience Brand experience refers to the totality of all sensations, emotions, feelings, and values that arise from contact with a brand... Click to learn more, design and an easy purchase decision.
- B2A (Business to Agent): Your business will be evaluated by an automated intermediary working on behalf of a company or individual. Data quality, uniqueness, machine readability, timeliness, and comparability are crucial.
The most important point is that the human being remains the ultimate client. The AI agent acts as a filter and pre-selection tool, not as the customer. Emotion and design don't lose their value. However, emotion and design only truly come to life when your business passes the automated pre-selection and a human being actually meets you.
Anyone who is not understood by the agent is eliminated from the pre-selection before a human ever sees the website.
What AI agents do along the customer journey
AI agents intervene in the decision-making process at four points. Each point places different demands on your data:
- Information search: Systems like ChatGPTChatGPT is a dialog-based application from OpenAI that processes input and generates text or other content. ChatGPT is often equated with GPT. The... Click to learn morePerplexity or Google AI Mode read websites, summarize ContentContent encompasses all intentionally published digital content on websites, in online shops, on social media channels, in newsletters, and in other digital environments. If you want to know more... Click to learn more together and name providers. What matters here is whether your business is considered a clear... entity It is clear: Who are you, what do you do, where do you work?
- Rates: The agent presents services, prices, availability, and reviews side by side. What matters here is whether your information is structured and comparable.
- Suggestion: The agent suggests two or three providers to the person. What matters here is whether your information is consistent and verifiable.
- Inquiry and transaction: The agent fills out a contact form, books an appointment, or completes a purchase. Applications like the ChatGPT agent (derived from OpenAI Operator) demonstrate that agents can already interact with websites. The key factor here is whether your business offers clearly defined, secure endpoints.
The final step is discussed under the term Agentic Commerce . On September 29, 2025, OpenAI launched Instant Checkout in ChatGPT , initially with US merchants on Etsy and with a planned Shopify integration. It's based on the Agentic Commerce Protocol, developed jointly with Stripe and released as open source. Instant Checkout is not yet widely available for SMEs in South Tyrol. However, this development shows that agents should not only recommend purchases but also complete them.
Why B2A is relevant for SMEs in South Tyrol and the DACH region
B2A isn't just for online shops or corporations. Business-to-agent deals with the everyday tasks that every owner-operated business faces: answering inquiries, quoting prices, checking availability, and keeping opening hours up to date. Here are some examples from the industries I work with daily in South Tyrol:
- Craft: An agent is looking for a plumber in Bolzano with an available appointment. The plumber's website shows nice pictures, but no machine-readable list of services, no service area, and no price range. The agent moves on to the next company that provides this information.
- Tourism: An agent is planning a three-day trip to the Vinschgau Valley for a family from Munich, including their dog. The hotel only mentions "pets welcome" in a paragraph written in Italian. The agent finds this information unreliable and recommends a different hotel.
- Service: An agent compares tax advisors for company formation in Merano. Only one provider clearly specifies the scope of services, languages spoken, and the procedure for the initial consultation. This is precisely the provider who receives the recommendation.
- Trade: An agent checks whether a specific spare part is in stock at a store in Brixen. Without a verifiable inventory, the agent can only guess or resort to a large online retailer.
In over 20 years of working with small businesses, I've observed one thing time and again: the quality of the work is almost never the problem. The problem is that this quality isn't described in a way that outsiders can quickly and clearly grasp. In B2A, this outsider is a machine that doesn't give second chances.
How your business becomes B2A-ready: the step-by-step model
Agent readiness is not achieved through a single measure, but through successive stages. Each stage is covered in more detail in an accompanying article. Here's an overview:
- Clear positioning and entity: Before technology can be applied, you need to clearly define who your business is and what it stands for. Without a clear positioning, no machine can correctly categorize your business. The approach Entity-first describes how a website is built around clearly identifiable entities instead of keywords.
- Structured data: Using the vocabulary of Schema.orgSchema.org is a common vocabulary used to describe content on your website in a machine-readable way: companies, services, locations, products, articles, questions, and other entities are identified... Click to learn more Do you describe the company, location, services, opening hours and reviews in such a way that search engines and agents can directly read this information?
- Service catalog with prices: A Service catalog for AI agents This is a versioned, machine-readable list of your services and their terms and conditions. The article explains how to reliably formulate prices and price ranges for these services. Prices for AI agents.
- Discovery files: Files such as llms.txtLLMs.txt 2026 means, in short: The /llms.txt file is a voluntary guidance file for AI systems, agents, and other automated readers. The file is a community proposal, not an official one... Click to learn more and Agent Descriptor FilesAgent Descriptor Files are machine-readable description files for AI agents or for interfaces that AI agents are intended to use. The term here does not refer to a standardized file format or... Click to learn more Agents show which content is important and where machine-readable versions are located. The article on [topic] provides the context. Agent Discovery Files and llms.txt.
- Interfaces and permissions: Over a APIAn API explained simply: An API is a standardized programming interface through which two software systems exchange data or functions. The full name, Application Programming Interface, describes... Click to learn more or Model Context ProtocolThe Model Context Protocol (MCP) is an open standard that allows an AI assistant to access external tools, data sources, and services securely and in a structured manner. Click to learn more Agents have controlled access to your data and functions. Anthropic has this. Model Context Protocol (MCP) published as an open-source standard on November 25, 2024, to AI assistantsAn "AI assistant" is a digital application that uses artificial intelligence to support and independently complete tasks, processes, or communication. Unlike conventional digital tools, it learns... Click to learn more to connect with data sources and business tools. The article describes which rights an agent may be granted in this process. AI agent permissions.
- Transaction-enabled endpoints: In the final stage, an agent can perform clearly defined actions: request, reserve, book. The article on [topic missing] shows how transaction-enabled endpoints can be implemented securely. AI agent booking.
You can find the full context of why agents will use websites in the future instead of just reading them in the article on agent readiness.
Why structured data and pricing are crucial in B2A
AI agents favor providers with clear, up-to-date, and comparable information. This preference stems from the agents' way of working: An agent must provide its client with a reasoned recommendation. If prices, areas of application, or availability are missing, the agent has two options. Either the agent moves on to the next provider, or the agent makes an estimate, which may be inaccurate.
Many businesses shy away from publicly listing prices for fear of committing to a fixed price. A price range with a clear reference point ("Heat pump maintenance from €180 plus VAT, travel within the Bolzano area included") is significantly more valuable to an agent than "Price on request." And it's also beneficial for the person behind the listing: the inquiries you receive will then be better pre-qualified.
The second principle is machine readability . Information contained only in an image, a PDF, or a nested slider is visible to a human but often invisible to an agent. Structured Data: What is structured data? Structured data refers to data organized in a standardized format so that it can be easily indexed by search engines and other systems. Click to learn more about Schema.org and a clean text version of each page solve this problem.
Win-Win-Win: Why B2A can empower small businesses
I see business-to-agent (B2A) as a real opportunity for small businesses. An AI agent doesn't evaluate who has the biggest advertising budget. An AI agent evaluates who provides the clearest, most reliable, and most relevant information. A carpentry shop with three employees can thus prevail in the initial selection process against a large chain, provided the shop maintains its data accurately.
For me, this is the essence of win-win-win. A win-win-win situation describes a constellation in which all parties involved – usually three or more – derive a clear advantage or benefit from... Click and learn more : The individual receives the right recommendation, the small business a fair chance, and the market becomes a bit fairer.
At the same time, I don't want to gloss over the risk. If a few platforms control the initial selection, a new dependency arises. Anyone who manages their data solely on external platforms is letting others decide how their business is described. Data sovereignty is therefore not an option in B2A, but a requirement: The definitive description of your business must reside on your own website and be controlled by you.
In the business-to-agent market, data quality matters more than advertising budget. This is the opportunity for smaller companies, as long as they retain control over their own data.
B2A in practice: how we work ourselves
I don't recommend anything we don't implement ourselves. Berger+Team operates its own agent gateway interface on berger.team, complete with an OpenAPI description, a tools API, and an ai-plugin.json file. This interface allows AI agents to systematically query the services offered by our freelance collective, the available glossary terms and technical articles, and how to contact us. The interface is a prime example of how a small business can be accessible to agents today, even without a large corporate budget.
The technical foundation for this is btlabs Core . btlabs Core follows the principle of a Single Source of Truth : A single central data source feeds the website, the machine-readable versions for AI responses, and in the future, also agents. Opening hours, services, or a job posting are entered once and automatically appear correctly in Google, in AI responses, and in every language.
Large Language Models (LLMs) are large language models: A Large Language Model is a language model trained on very large amounts of text that calculates probabilities for words or tokens... Click to learn more . The .txt file, brand.json , is a structured JSON file that describes key brand information as a machine-readable brand profile: name, positioning, tone of voice, services, target groups, languages, evidence, and official profiles are thus... Click to learn more . Markdown delivery and a machine-readable interface are included in btlabs Core by default. btlabs describes how this works in detail on their AI Discoverability page.
Important for context: AI agents that can make booking inquiries, reservations, or orders from you are a technically prepared extension in btlabs Core, not a finished standard function. The foundation is in place; implementation is project-based and occurs when it makes economic sense for your business.
B2A and Generative Engine Optimization: How the two are related
Generative Engine Optimization (GEO) ensures that AI systems correctly understand and cite your business in their responses. GEO primarily covers information retrieval and recommendations. B2A goes a step further, additionally encompassing comparison, inquiry, and transaction. In short: GEO makes you citable, B2A makes you additionally actionable for agents. Classic search engine optimization (SEO) explained simply: SEO is the strategic optimization of a website for organic visibility, relevant search intent, and clear presentation in search engines and search-related response systems. The goal... Clicking and learning more remains the foundation, as many AI systems rely on search indexes.
If you'd like to know where your business stands on this journey, we'd be happy to take a look together. Our AI and digitalization consulting always begins with a strategic analysis, not with technology. Simply write to info@berger.team for a free introductory meeting.
Questions and answers about B2A
What is B2A?
B2A stands for Business to Agent and describes a company's focus on AI agents that research, compare, recommend, and prepare transactions on behalf of people. B2A complements B2B and B2C by adding machine intermediaries as a third target group. For your business, this means: Your information must be just as clear to machines as it is to humans.
What does Business to Agent mean in marketing?
Business-to-agent marketing (B2A) means presenting services, prices, location, and availability in a way that AI agents can clearly understand and compare this information . Instead of simply generating human attention, B2A marketing ensures your business passes the initial machine screening. The result is better-qualified leads.
How does B2A differ from B2B and B2C?
B2B is aimed at businesses, B2C at end customers, and B2A at an automated intermediary working for businesses or individuals. In B2B and B2C, relationship, emotion, and design have a direct impact, while in B2A, data quality, clarity, and comparability are paramount. B2A doesn't replace the other models but rather acts as a filter.
Which companies need B2A?
Every business whose customers search for recommendations via ChatGPT, Perplexity, or Google is affected. B2A is particularly relevant for tradespeople, tourism professionals, service providers, and local retailers , because questions about price, appointment time, service area, and opening hours are crucial in these sectors. Small businesses especially benefit, as data quality is more important than advertising budget.
How can my business become B2A-ready?
B2A capability develops in stages: clear positioning, structured data according to Schema.org, a service catalog with prices, discovery files like llms.txt, interfaces with clear permissions, and finally, transaction-capable endpoints . You don't have to implement all stages at once. The first three stages already provide the greatest benefit for most SMEs.
What role do structured data and prices play?
Structured data makes your information directly accessible to agents , and prices make your offer comparable. If prices or price ranges are missing, an agent will often move on to the next provider or make an estimate. Therefore, an honest price range with a reference point is usually better than "price on request."
Does B2A replace traditional search engine optimization?
No. Many AI systems rely on search indexes, so solid SEO remains the foundation . Generative Engine Optimization ( GEO) means the targeted optimization of content, data, and brand information for AI-generated answers and their citations. This does not refer to the optimization of... Clicking to learn more ensures that AI answers cite you correctly, and B2A complements both with comparison, inquiry, and transaction through agents.
Is B2A only relevant for online shops?
No. Most everyday agent tasks involve information and inquiries , not purchases: Who does this in my region, what does it cost, when is an appointment available? A carpenter, a hotel, or a tax office benefits from B2A just as much as a retailer.
Are AI agents already shopping independently?
Partly yes, but still limited. OpenAI launched Instant Checkout in ChatGPT on September 29, 2025 , initially with US merchants on Etsy and based on OpenAI and Stripe's Agentic Commerce Protocol. For most businesses in South Tyrol and the DACH region (Germany, Austria, and Switzerland), research, comparison, and inquiries by agents are currently far more relevant than autonomous purchases.
How can I tell if AI agents are using my website?
A first clue can be found in the server log files : These will show accesses from crawlers and agents with identifiers such as GPTBot, OAI-SearchBot, ChatGPT-User, or PerplexityBot. Additionally, it's worthwhile to monitor referrers from AI services in your web analytics and regularly test how ChatGPT or Perplexity describe your business. This will show you whether your information is being received correctly.
What are the costs associated with getting started in B2A?
The effort required depends heavily on the initial state of your website and your data. Many fundamental elements, such as clear service descriptions, price ranges, and structured data, can be added step by step. A new technical foundation is more worthwhile if the existing website is technically outdated. In an initial consultation, we'll determine which stage makes economic sense for your business.
What are the risks associated with B2A?
The biggest risk is dependency : If a few platforms control the initial selection and your data is stored only there, others decide how your business is described. A second risk is overly generous write permissions for agents, which can lead to misuse or errors. Data sovereignty means that your company can locate, view, manage, fully export, delete, back up, and transfer its data to another system independently of the provider. Clicking "Learn more" on your own website and clearly defined permissions are the most important safeguards.
Do I need a separate AI for B2A?
No. For B2A, you don't need to run your own AI; you just need to provide your data in a way that external agents can understand . Having your own AI can be useful internally, for example for content management, but it's not a requirement for business-to-agent communication.
