AI Agents for Business: ChatGPT Business Agents Guide

ChatGPT now has a front desk for your business

On 10 November 2026, OpenAI opened a beta called Businesses in ChatGPT. It lets companies claim a verified profile inside ChatGPT, upload product feeds with prices and availability, see how often they are mentioned, and, for some businesses, launch their own AI agent that customers can talk to without leaving the chat (PYMNTS). The same week, IBM and Microsoft announced a joint enterprise platform called Imagine Enterprise, reported to launch with 6,000 pre-built agents for sectors such as finance and retail (AI Agents Directory).

For owners in Toronto, Dubai, Houston, London or Lahore, the message is the same. AI agents for business are moving from a developer experiment to a customer channel, and the businesses with clean, structured information will be the ones these agents represent well.

I'm Sylvester Joseph, founder of SylJo Tech and a PhD researcher in AI and human-computer interaction. My team in Lahore builds AI agents and automations for clients in several countries. This guide explains what OpenAI actually launched, what it means for small and mid-sized businesses everywhere, and a practical plan to get your own agents working this month.

What OpenAI launched on 10 November

Businesses in ChatGPT has two parts.

1. Business Hub

Business Hub is the management layer. According to Business Today, it is open to eligible businesses in every market where ChatGPT is available. Companies can:

Claim their business profile and update key information after verification.
Add product feeds with details such as price and availability.
See aggregated insights: how often they are mentioned in ChatGPT, how many clicks their website receives, and common topics in conversations where their site is cited.

Shopify merchants can connect their store through Business Hub or the Shopify admin, and eligible Shopify products already appear in ChatGPT through Shopify Catalog (PYMNTS). Importantly, claiming a profile does not guarantee better placement or more sales (Business Today).

2. Business Agents

Business Agents are the conversational layer. After claiming a profile, a business can build, test and launch an agent that answers questions about its products and services. A user who sees the business in a ChatGPT answer can open its profile and start a separate conversation with that agent, for example to compare two products (PYMNTS).

For now, Business Agents are limited to eligible e-commerce and online service businesses in the United States, with plans to expand to more markets and categories (Business Today).

The rules that come with it

The policy details are just as useful as the features. As summarised by nullbot, agents must disclose that they are AI representing the business, prices and availability must be accurate, false urgency and pressure tactics are banned, and purchases or data sharing need the user's explicit authorisation. Checkout currently sends buyers to the brand's own website. Businesses can also sponsor their agent and use it as a destination for ChatGPT Ads, with sponsored placements labelled and kept separate from ChatGPT's own answers (Business Today).

OpenAI also says businesses will not see users' private ChatGPT conversations or their chats with Business Agents, and engagement data only appears once activity passes certain thresholds (PYMNTS).

What this means for AI agents for business

It is tempting to read this as "a ChatGPT feature for US online stores". That misses the bigger shift.

First, your information is becoming your sales team. An agent can only be as accurate as the data behind it. If your prices, stock, policies and service areas are scattered across PDFs, old web pages and staff memory, any agent, whether on ChatGPT, your website or WhatsApp, will either give vague answers or wrong ones.

Second, customers are getting used to talking to businesses through AI. Once people compare products by chatting with an agent inside ChatGPT, they will expect the same on your own site and messaging channels. A contact form that replies in two days will feel slow.

Third, the cost of running agents keeps falling. In October, OpenAI introduced a model called GPT-6.1 Terra, priced 50% below two other models in its lineup and aimed at high-volume tasks such as invoice processing and data entry (PYMNTS). Cheaper models make it practical for a 10-person company to run agents on routine back-office work, not only on customer chat.

Fourth, the big platforms are racing to own agents. OpenAI, IBM and Microsoft all made agent announcements in the same week, and OpenAI also acquired the AI travel agent startup Odessia (AI Agents Directory). For a small business, that means more tools, but also more risk of locking your customer relationships into one platform. The safest strategy is to own your data and workflows, then plug them into whichever channels matter.

This is closely linked to answer engine optimisation. If you want ChatGPT and Google's AI answers to mention you at all, your content needs to be clear and citable, which I covered in our AEO guide.

The three kinds of AI agents a business can run

Not every agent sits inside ChatGPT. Here is how I explain the options to clients.

Agent type	Where it lives	Best for	Who controls the data
Platform agent	Inside ChatGPT (Business Agents) or similar platforms	Being found and compared by AI-assisted shoppers	Platform rules apply; you supply the information
Owned customer agent	Your website, WhatsApp, Instagram DMs, phone line	Answering questions, qualifying leads, booking, order status	You
Internal operations agent	Behind the scenes in your CRM, inbox, accounts or spreadsheets	Data entry, invoice processing, follow-ups, reporting	You

Most small businesses should start with an owned agent or an internal agent, then add platform agents as they become available in their market. Owned and internal agents work everywhere today, and the data you organise for them is exactly what a platform agent needs later.

A practical plan for this month

Step 1: Build a single source of truth

Create one structured knowledge base: products or services, prices, availability, delivery or service areas, opening hours, policies, and the 30 questions customers ask most. Keep it in a format software can read, such as a database, a spreadsheet with clear columns, or a product feed. This is the most valuable hour you will spend on AI this year.

Step 2: Fix your public information

Check that your website, Google Business Profile and social pages say the same thing as your knowledge base. AI systems pull from public sources, so inconsistent information leads to inconsistent answers about you.

Step 3: Claim your profile if you are eligible

If your business has a website and operates where ChatGPT is available, check whether you can claim a profile in Business Hub. Even without a Business Agent, the mention and click data will show how ChatGPT already describes you.

Step 4: Launch one owned customer agent

Pick the channel where most enquiries arrive, often WhatsApp or website chat, and launch an agent that answers from your knowledge base, captures contact details and hands complex cases to a person. Follow the same standards OpenAI sets: disclose that it is AI, never invent prices, never pressure.

Step 5: Automate one internal task

Choose a repetitive job such as logging leads into your CRM, sending quotes, or reading supplier invoices into your accounts. Tools like n8n make this practical without a large software budget, as I explained in our n8n guide.

Step 6: Measure and review weekly

Track questions answered, leads captured, hand-offs to staff, and wrong answers. Review a sample of conversations every week and update the knowledge base. An agent is not a project you finish; it is a team member you keep training.

Agent readiness checklist

One structured knowledge base with prices, policies and FAQs
Website and Google profile match the knowledge base
Eligibility for ChatGPT Business Hub checked
One owned customer agent live with human hand-off
One internal task automated
Weekly review of conversations and errors

Worked example: an online skincare brand

This is an illustrative example, not a SylJo Tech client.

Picture a small online skincare brand with customers in the US, Canada and the UAE. It sells 40 products through Shopify, answers questions by email and Instagram DM, and its two-person team spends a large part of each day replying to the same questions about ingredients, shipping times and returns.

Here is how it could apply the plan:

It builds a product knowledge base with ingredients, skin types, sizes, prices and shipping rules for each country.
It updates its website and Google profile so shipping and returns policies match.
Because it sells on Shopify, its eligible products may already appear in ChatGPT through Shopify Catalog, so it checks Business Hub and claims its profile. As a US e-commerce seller, it may qualify for a Business Agent once eligible.
It launches an owned agent on its website and Instagram DMs that answers product questions, recommends a routine, and hands complaints to a person.
It automates one internal task: every order issue raised in chat creates a ticket and a draft reply for the team to approve.
Every Friday, the team reviews 20 conversations and updates the knowledge base.

The same knowledge base now powers three channels: its own site, Instagram, and, as it becomes available, ChatGPT. Nothing is duplicated, and when a price changes, it changes once.

Cost, timeline and how to choose a partner

The cost of building AI agents depends on scope: how many channels, how much data needs organising, which systems the agent must connect to, and how much human review you want built in. I don't quote a fixed price without seeing your setup, but a free consultation will give you a scoped estimate.

A typical first phase looks like this:

Week 1: Knowledge base and data clean-up.
Week 2: First owned customer agent built and tested.
Week 3: First internal automation and reporting.
Week 4: Live launch, review and improvements.

When choosing who builds your AI agents, ask:

Will I own the data, prompts and workflows? You should be able to move them if a platform changes its rules.
How do you prevent wrong answers? Look for answers grounded in your knowledge base, clear limits, and human hand-off.
Can it connect to my existing tools? CRM, Shopify, WhatsApp, accounting software.
How will we measure results? Agree the numbers before you start.
Who maintains it after launch? Agents need regular updates.

How SylJo Tech helps

SylJo Tech was founded in Lahore in 2023 by me, Sylvester Joseph, and I have worked in this field since 2020. I am a PhD researcher in AI and HCI at Superior University and lecture at Superior University and ITU Lahore. Our team includes PhD researchers and developers, we have delivered more than 60 projects, and we hold the PMINA Award for E-Ladeen. We also run our own AI product: RestoAI is live with 10 restaurants in Pakistan.

We design and build owned customer agents, internal operations agents and the data foundations that make platform agents accurate, for clients in Pakistan and internationally, working fully remotely in English. See what we build on our AI solutions page, or read why international clients hire an AI automation agency from Pakistan.

Frequently asked questions

What are AI agents for business?

They are AI systems that can answer questions, take actions and complete tasks on a business's behalf, using the business's own information and tools. They can serve customers, such as answering product questions, or work internally, such as processing invoices.

Can any business create a Business Agent in ChatGPT?

Not yet. Business Hub is open to eligible businesses wherever ChatGPT is available, but Business Agents are initially limited to eligible US e-commerce and online service businesses, with expansion planned.

Does claiming a ChatGPT profile improve my ranking?

No. OpenAI says claiming a profile does not guarantee more prominent placement or more sales. Accurate, consistent information is still what helps AI systems describe you correctly.

How much does it cost to build an AI agent?

It depends on the channels, data and integrations involved. A typical first phase takes about four weeks. Book a free consultation for a scoped estimate.

How do I get started?

Build one structured knowledge base, then launch one owned agent on your busiest channel. Take our free Digital Business Assessment to find the best first agent for your business.

The Bottom Line

OpenAI's Business Agents show where customer service and discovery are heading: customers will increasingly meet your business through an AI agent before they ever reach your website. The businesses that win will be those with clean, structured information and agents they own on their own channels.

Looking for an AI agents partner for your business? SylJo Tech builds AI agents and automations for businesses in Pakistan, the UAE, North America and beyond, fully remotely with English-language delivery. Book a free consultation or take our free Digital Business Assessment.

AI Agents for Business: What ChatGPT's Business Agents Change.