Companies are already closing real revenue from ChatGPT referrals
This is not SEO — it’s Answer Engine Optimization (AEO)
You don’t need an agency to start
You win by answering specific customer questions in places AI trusts
Small experiments beat big strategies here
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Thumbnail Image Prompt:
Minimal editorial illustration showing a business storefront being surfaced inside a clean AI chat interface, neutral colors, professional tone, flat modern style, no text

The Reframe
Most people think ChatGPT is just a tool you use.
What’s actually happening is that ChatGPT is becoming a place you need to show up.
When someone asks, “What software should I use?” or “Who’s good at X?”, ChatGPT doesn’t browse randomly. It pulls from patterns it has already seen: repeated answers, clear explanations, consistent mentions, and trusted formats.
This isn’t traditional SEO. There are no keywords to stuff or backlinks to chase.
The real shift is that AI rewards clear answers to real questions, wherever those answers already live on the internet.
Quietly, some companies are already benefiting. GrowthAssistant publicly said they closed about $1M in business tied to LLM visibility.
Not because they hacked ChatGPT — but because they showed up where AI learns.
The Insight
Answer Engine Optimization is simpler than SEO because it mirrors how humans already learn.
People ask questions.
AI learns from answers.
Repeated, clear answers get reused.
Ethan Smith, who runs AEO work for companies like Webflow and Notion, uses a simple playbook:
Find the exact questions customers ask
See if you appear in AI answers today
Publish answers in formats AI already trusts
Treat everything like an experiment
What actually matters isn’t ranking — it’s being cited by default.
ChatGPT pulls from:
YouTube explanations
Reddit threads
Help docs and use-case pages
Clear, boring, specific answers
The leverage isn’t being clever. It’s being obvious — consistently.
How to Use It
Here are three ways your readers can apply this immediately.
Mode 1: Turn keywords into questions
AI answers questions, not keywords. Your first job is translating what people search into what they ask.
Role: Market research assistant
Context: I want to understand how customers phrase real questions before buying
Task: Convert the following product or service into 15 specific customer questions they would ask ChatGPT before purchasing
Format: Group questions by category (comparison, pricing, trust, use cases)
Input: [YOUR PRODUCT OR SERVICE]
Use these questions as your content roadmap.
If the question exists, someone is already asking it.
Mode 2: Check if you exist inside AI already
Before creating content, see whether AI already mentions you — or your competitors.
Role: Competitive analysis assistant
Context: I want to understand how visible my company is inside AI answers
Task: Simulate how ChatGPT might answer the following buyer questions and note which companies are mentioned and why
Format: Bullet list with reasoning
Questions:
- What companies solve [PROBLEM]?
- What tools are best for [USE CASE]?
- Who should I trust for [OUTCOME]?
If you’re missing, that’s your gap.
Mode 3: Publish where AI learns
You don’t need a blog empire. You need answers in the right places.
Role: Content strategist
Context: I want to increase my company’s visibility inside ChatGPT
Task: Suggest 5 pieces of content I can publish that directly answer buyer questions in AI-friendly formats
Format: Table with platform, question answered, and content angle
Input: [YOUR INDUSTRY OR PRODUCT]
Think:
One YouTube walkthrough
One Reddit answer
One clear use-case page
One comparison explanation
Not volume. Coverage.
Infographic Image Prompt:
Simple flow diagram showing Question → Answer Content → AI Learning → Customer Referral, clean business infographic style, muted colors, no text blocks
ROI Prompts
Role: Growth analyst
Context: I want to estimate upside from AI visibility
Task: Identify which customer questions could realistically influence purchase decisions in my business
Format: Ranked list with reasoning
Input: [YOUR BUSINESS TYPE]
Role: Experiment designer
Context: I want to treat AEO like a test, not a bet
Task: Design a 30-day experiment to increase AI visibility with clear success signals
Format: Week-by-week plan with metrics to watch
Input: [YOUR PRODUCT OR SERVICE]
Full Example Prompt
Role: Answer Engine Optimization advisor
Context: I run a small to mid-sized business and want to appear in ChatGPT recommendations
Task:
1. Identify the top 10 questions buyers ask before choosing a provider like me
2. Recommend where each answer should be published (YouTube, Reddit, help page, etc.)
3. Explain why that format matters for AI visibility
Format: Clear numbered sections
Input: [DESCRIBE YOUR BUSINESS IN ONE SENTENCE]
Bonus Prompts
Role: Reddit contributor
Context: I want to answer questions in a way that AI is likely to learn from
Task: Draft a helpful, neutral, non-promotional Reddit-style answer to this question
Question: [PASTE A REAL CUSTOMER QUESTION]
Role: YouTube scriptwriter
Context: I want to publish a short explainer that AI can learn from
Task: Write a concise 3–5 minute explanation answering this buyer question clearly and simply
Question: [PASTE A REAL CUSTOMER QUESTION]
Recap & Close
ChatGPT doesn’t rank — it repeats
Clear answers beat clever marketing
Small experiments compound fast
One action: Pick one real customer question and answer it publicly this week.
Wrap-Up Image Prompt:
Clean abstract illustration of multiple content platforms feeding into a central AI interface, professional editorial style, neutral background
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