AI search lets people describe their full situation. They can include their budget, experience, constraints and desired outcome in one request, then ask follow-up questions as their thinking develops.
That makes customer questions more useful than a list of short search terms.
Look for questions asked while someone is:
Defining the problem
Exploring possible approaches
Requesting recommendations
Comparing options
Resolving concerns
Preparing to make a decision
The best raw material already exists in sales calls, support tickets, surveys, reviews and search data.
Try this prompt:
Analyze the customer material below and build an AEO question map.
Business: [BUSINESS]
Product or service: [OFFER]
Audience: [AUDIENCE]
Customer material: [PASTE TRANSCRIPTS, REVIEWS, SURVEY RESPONSES, SUPPORT TICKETS OR NOTES]
Extract the questions, concerns and decisions customers express directly or imply.
Organize them into:
1. Understanding the problem
2. Exploring solutions
3. Comparing options
4. Overcoming objections
5. Making the final decision
For each question, include the original customer language, the underlying need and the type of content that could answer it well.
Do not invent extra questions until you have fully analyzed the supplied material. Put suggested questions in a separate section.
The goal is not to publish an answer to every possible prompt. It is to understand the decisions your content needs to support.
Happy prompting!
How to get ChatGPT to recommend your brand
Buyers now ask ChatGPT, Google AI Overviews, Perplexity and Gemini who to shortlist, and those answers name a small set of brands. This session shows how that shortlist gets built, where you sit against your competitors right now, and how you can make sure you're the top recommendation.
Omni Eclipse is hosting a free webinar on the 13th of August. Save your seat →