How Customers Use AI to Find and Contact Businesses in 2026
2026-04-07| Updated 2026-08-27
By Morten Siert EriksenAI-Refined
The way customers find businesses is undergoing its biggest transformation since the rise of Google. Instead of typing keywords into a search engine and scrolling through results, customers are increasingly having conversations with AI assistants — describing what they need in natural language and getting tailored recommendations.
This article explores how the AI-driven customer journey works, what it means for businesses, and how to make sure you're part of the conversation.
Topics
From keywords to conversations
Traditional search is transactional: you type keywords, get results, click links, and evaluate options yourself. AI-assisted discovery is conversational: you describe your situation, and the AI does the research, filtering, and comparison for you.
Here's what that looks like in practice:
Traditional search: 'plumber Copenhagen emergency' → 10 blue links → click through 3-4 websites → compare prices → call someone
AI-assisted discovery: 'I have a burst pipe in my kitchen in Frederiksberg, I need someone who can come today' → AI checks service indexes → presents 2-3 matching plumbers based on what each one has described it does, and for whom → starts the handover
The AI-assisted approach is faster, more contextual, and feels more like asking a knowledgeable friend for help. This is why adoption is accelerating — and why businesses need to be where the AI is looking.
Here's what that looks like in practice:
Traditional search: 'plumber Copenhagen emergency' → 10 blue links → click through 3-4 websites → compare prices → call someone
AI-assisted discovery: 'I have a burst pipe in my kitchen in Frederiksberg, I need someone who can come today' → AI checks service indexes → presents 2-3 matching plumbers based on what each one has described it does, and for whom → starts the handover
The AI-assisted approach is faster, more contextual, and feels more like asking a knowledgeable friend for help. This is why adoption is accelerating — and why businesses need to be where the AI is looking.
The AI-driven customer journey in 5 steps
Understanding the new customer journey helps businesses position themselves effectively:
1. Need recognition: The customer identifies a need — they need a service, product, or information.
2. AI conversation: Instead of searching Google, they ask their AI assistant. They describe their situation, requirements, and preferences in natural language.
3. AI research: The AI queries connected indexes, directories, and databases to find matching businesses. It reads what each one has published about itself — what it does, who it does it for, and where.
4. Recommendation and comparison: The AI presents curated options with reasoning — not just a list, but an explanation of why each business might be a good fit.
5. Facilitated contact: The customer can request a quote, ask follow-up questions, or initiate contact — all through the AI conversation. The business receives a qualified inquiry with context about what the customer needs.
1. Need recognition: The customer identifies a need — they need a service, product, or information.
2. AI conversation: Instead of searching Google, they ask their AI assistant. They describe their situation, requirements, and preferences in natural language.
3. AI research: The AI queries connected indexes, directories, and databases to find matching businesses. It reads what each one has published about itself — what it does, who it does it for, and where.
4. Recommendation and comparison: The AI presents curated options with reasoning — not just a list, but an explanation of why each business might be a good fit.
5. Facilitated contact: The customer can request a quote, ask follow-up questions, or initiate contact — all through the AI conversation. The business receives a qualified inquiry with context about what the customer needs.
What this means for your business
Our read is that the businesses that do well here will be the ones that are indexed, structured, and readable by AI assistants. Here's what that takes:
Be in AI-readable directories: Your website alone isn't enough. AI assistants don't browse the web the same way humans do. You need to be listed in AI Agent Indexes that are connected to AI assistants through protocols like MCP.
Have clear, structured service descriptions: AI assistants need to understand what you offer, who it's for, and how to present it to customers. Vague descriptions mean you get skipped in favor of competitors with clearer listings.
Make the listing answer, not just sit there: A listing that can take a real question — what do you do, who is it for, what does a job like mine involve — and answer it from what you have described does more work than a name and a phone number. Anything it cannot confirm goes to your team instead of a guess.
Be specific, not broad: 'We do plumbing' answers nothing. 'Emergency callouts in Frederiksberg, same day, no gas work' lets an assistant tell a customer whether you are the right fit — which is the thing the customer actually asked.
Be in AI-readable directories: Your website alone isn't enough. AI assistants don't browse the web the same way humans do. You need to be listed in AI Agent Indexes that are connected to AI assistants through protocols like MCP.
Have clear, structured service descriptions: AI assistants need to understand what you offer, who it's for, and how to present it to customers. Vague descriptions mean you get skipped in favor of competitors with clearer listings.
Make the listing answer, not just sit there: A listing that can take a real question — what do you do, who is it for, what does a job like mine involve — and answer it from what you have described does more work than a name and a phone number. Anything it cannot confirm goes to your team instead of a guess.
Be specific, not broad: 'We do plumbing' answers nothing. 'Emergency callouts in Frederiksberg, same day, no gas work' lets an assistant tell a customer whether you are the right fit — which is the thing the customer actually asked.
How to get your business ready
Getting AI-ready doesn't require technical skills or a large budget. Here's how to start:
1. List your business in an AI Agent Index — Platforms like Fugentic make this a guided, no-code setup. You describe your services, and the platform generates and hosts your MCP server — the piece that lets an AI assistant ask your business a question and get your answer back — and registers it from there. You supply the substance: what you sell, what it costs, what you take on and what you turn down.
2. Write clear service descriptions — Think about what a customer would ask AI about your business and make sure those answers are in your listing. Be specific about what you offer, your service area, and your pricing structure.
3. Keep your information current — AI assistants recommend based on the data they have. Outdated pricing, discontinued services, or wrong contact details mean missed opportunities.
4. Write for the question, not the brochure — Think about what a customer actually types into an assistant, and answer that in plain words. The assistant is reading to work out whether you fit, not to be impressed.
The transition from search-based to AI-assisted discovery is accelerating. Every week more customers discover that asking AI is faster and more helpful than browsing Google. The question isn't whether your business will be affected — it's whether you'll be ready.
1. List your business in an AI Agent Index — Platforms like Fugentic make this a guided, no-code setup. You describe your services, and the platform generates and hosts your MCP server — the piece that lets an AI assistant ask your business a question and get your answer back — and registers it from there. You supply the substance: what you sell, what it costs, what you take on and what you turn down.
2. Write clear service descriptions — Think about what a customer would ask AI about your business and make sure those answers are in your listing. Be specific about what you offer, your service area, and your pricing structure.
3. Keep your information current — AI assistants recommend based on the data they have. Outdated pricing, discontinued services, or wrong contact details mean missed opportunities.
4. Write for the question, not the brochure — Think about what a customer actually types into an assistant, and answer that in plain words. The assistant is reading to work out whether you fit, not to be impressed.
The transition from search-based to AI-assisted discovery is accelerating. Every week more customers discover that asking AI is faster and more helpful than browsing Google. The question isn't whether your business will be affected — it's whether you'll be ready.
How does an AI assistant actually find a business?
It looks the business up in an index it is connected to, rather than crawling the web the way a search engine does. The business publishes a structured description of what it offers; the assistant queries that index, reads the description, and answers the customer from it.
Two pieces sit underneath that, and they are worth telling apart:
The index — the list an assistant looks in. That is what an AI agent index is: a directory built to be read by assistants rather than browsed by people.
The connection — how the assistant asks your business a question and gets your answer back. That is what an MCP server does, and it is the difference between an entry that lists your phone number and one that can answer 'do you take on jobs like mine'.
Neither piece decides that you get picked. Being in the index is what makes you reachable; what you have described is what an assistant weighs when it works out whether you fit. Both halves have to be there, and the second one is yours to write.
Two pieces sit underneath that, and they are worth telling apart:
The index — the list an assistant looks in. That is what an AI agent index is: a directory built to be read by assistants rather than browsed by people.
The connection — how the assistant asks your business a question and gets your answer back. That is what an MCP server does, and it is the difference between an entry that lists your phone number and one that can answer 'do you take on jobs like mine'.
Neither piece decides that you get picked. Being in the index is what makes you reachable; what you have described is what an assistant weighs when it works out whether you fit. Both halves have to be there, and the second one is yours to write.