

AI can help small business owners discover questions prospective customers may ask before making a purchase. One particularly interesting opportunity comes from something many people probably overlook: the suggested follow-up questions and interactive options that appear during AI conversations.
Those suggestions are not a replacement for keyword research or actual customer feedback. But they can give us another way to examine the buyer's journey, identify missing information on our websites, and build content that helps people make decisions.
And the best part? You do not need an expensive marketing research platform to begin experimenting with this approach.
Suggestion chips are clickable options that help someone continue or refine a conversation. They might suggest comparing prices, exploring alternatives, narrowing choices, or asking about a particular concern.
Think about walking into a restaurant and telling the waiter you are hungry but do not know what you want. A good waiter might ask whether you prefer seafood or steak, whether you have dietary restrictions, or how much you want to spend.
AI conversations can work similarly. Instead of requiring someone to formulate every question independently, an interface may present useful next steps. OpenAI describes this broader capability in its Intelligent UI documentation, which explains how ChatGPT can include tappable buttons and other interactive elements in its responses.
Now think about what that means for marketing. Those possible next questions may reveal concerns that your website has not addressed.
The ability to refine an AI conversation is not new. When OpenAI introduced ChatGPT on November 30, 2022, conversational follow-up was already a core capability.
What has changed is how prominently AI systems can present that refinement through interactive interfaces.
In October 2026, OpenAI introduced GPT-6 with Intelligent UI, bringing additional interactive elements into ChatGPT responses. This makes it easier for users to move from a broad question toward a more specific decision without typing every step.
Similar patterns exist in search engines, shopping experiences, and guided website forms. Google's related searches and query suggestions have helped people refine research for years.
For business owners, I would focus less on which company introduced a particular button first and more on what those refinements can teach us.
A potential customer rarely makes a purchasing decision based on one question. They might begin by looking for a service, but their next questions often concern cost, reliability, suitability, timing, or available alternatives.
Imagine someone researching catering services in Homestead, Florida.
Their starting question might be:
"How do I find a caterer for a family celebration in Homestead?"
From there, the conversation could develop in several directions.
| Possible buyer question | What it may reveal |
|---|---|
| How much does catering cost per person? | Budget and affordability concerns |
| Does the caterer prepare food on-site? | Service expectations and logistics |
| Can the menu accommodate dietary restrictions? | Suitability for the event |
| How far in advance should I book? | Timing and availability |
| What happens if my guest count changes? | Contract and flexibility concerns |
| How do I compare two catering companies? | Trust and purchase evaluation |
These are illustrative questions, not a claim that ChatGPT currently displays these exact suggestions.
Now imagine that catering business has a beautiful website filled with pictures of delicious food, but none of those questions are answered.
The customer may continue researching elsewhere, even though the business could have been a perfect fit.
Not by themselves. A suggested question is an AI-generated interface option, not a verified record of customer demand.
This distinction matters.
A business owner could ask ChatGPT about a service and receive several interesting follow-up options. But we cannot automatically conclude that thousands of real customers are asking those exact questions.
I would treat the suggestions as research hypotheses.
The next step is to compare them with evidence, including customer calls, reviews, emails, website searches, and Google Search Console.
Google's Search Console Performance report lets website owners examine queries that generate impressions and clicks. Combining that information with customer conversations provides a stronger basis for deciding which topics deserve attention.
The goal is not to chase every question AI invents. It is to recognize meaningful questions that your customers may already be struggling to answer.
You can begin with a simple exercise using a service your business actually offers.
Open a fresh conversation and enter a realistic buyer question without mentioning your business name.
For example:
"I'm a homeowner in Homestead, Florida, looking for someone to repair my air conditioner. I have never hired an AC repair company before. Help me understand what I should consider before choosing one."
This gives AI a situation, a location, and a customer perspective.
Observe any suggested refinements that appear. If your version of ChatGPT does not display clickable suggestions, simply ask:
"What questions should I be asking before choosing a company?"
Continue exploring concerns about price, service, trust, urgency, and alternatives. Capture useful questions along with the original prompts that produced them.
A first-time buyer and an experienced buyer may ask very different questions.
Try additional perspectives such as someone working within a tight budget, someone comparing two providers, or someone who needs the service urgently.
Keep the initial prompts consistent when comparing AI platforms so you can identify differences without confusing them with changes in your instructions.
Compare the results with actual customer questions and performance data.
Are prospects asking these questions on the phone? Do competitors address them? Are related searches appearing in Search Console? Do customers abandon a form after reaching the pricing section?
When several independent sources point to the same concern, you have a stronger reason to address it.
Open your existing service page and examine whether it answers the important questions clearly.
Do not give the page credit merely because the answer exists somewhere in a paragraph buried near the bottom. The information should be easy to find at the point where the buyer needs it.
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This is where the research becomes useful.
I often tell business owners that having a website is not the same as having an effective online presence. A website needs to help visitors accomplish something, not simply introduce the company.
I have written previously about how website copywriting for small businesses should address customer questions and remove obstacles that prevent people from taking action.
The questions discovered through AI research can help us organize those pages more effectively.
Consider an AC repair service page.
Instead of opening with several paragraphs about how long the company has been in business, the page could lead with the services offered, the geographic area covered, and a clear way to request assistance.
The next sections could address the questions customers are likely to consider:
✓ What types of AC problems do you repair?
✓ How quickly can someone respond?
✓ What determines the repair cost?
✓ Should I repair or replace my system?
✓ What qualifications and warranties should I look for?
✓ What happens after I request service?
The business still needs to communicate its experience and qualifications. But those details become more persuasive when they answer a concern the customer already has.
That is also consistent with Google's people-first content guidance, which emphasizes useful, reliable information that helps visitors achieve their goals.
Absolutely not. Creating dozens of nearly identical FAQ pages can make a website harder to navigate and more difficult to maintain.
Some questions belong in an existing service page. Others deserve a dedicated article, comparison guide, or landing page because they represent a distinct search intent.
For example, "Do you provide emergency AC repair?" probably belongs on a service page if emergency repairs are genuinely offered. "Should I repair or replace a ten-year-old air conditioner?" could justify a more comprehensive educational article.
This is where understanding buyer intent matters. Not every question means someone is ready to make a purchase, and not every answer should immediately push for a sale.
It can make your content more useful and easier to understand, but it does not guarantee that ChatGPT, Google, or another AI platform will recommend your business.
There are two separate opportunities here.
First, answering customer questions clearly can make a website more helpful to people who actually visit it. That may reduce confusion and encourage qualified prospects to contact the business.
Second, well-structured, accessible content may help search and AI retrieval systems understand what the business offers. That connects to the broader concepts I discussed in How AI Search Works.
But there is no evidence that copying suggestion chips directly into your headings creates a special ranking advantage.
Once you improve a page, measure what happens.
Start with the business outcome you want. That could be phone calls, form submissions, appointment requests, qualified leads, or completed sales.
Then examine supporting information such as organic search impressions, landing page engagement, form completion, and recurring questions from prospects.
If a page starts attracting more visitors but nobody contacts the business, additional traffic alone is not proof of success.
This is why I approach online presence management as continuous work. You review the current situation, improve what exists, create what is missing, and return to the data to see what changed.
There is no public basis for treating an individual suggestion chip as a verified search query or a measure of search volume. Use suggestions to develop research ideas, then validate them using customer evidence and appropriate analytics tools.
Not necessarily. Interactive elements can depend on the request, conversation context, available interface features, and product configuration. The same prompt does not guarantee identical suggestions for every user.
Yes. You can begin with conversational AI, actual customer questions, reviews, and available search analytics. Paid research tools may provide useful additional data, but they are not required to start.
No. Group related questions by customer intent and address them where they naturally belong. Build separate pages when a question represents a substantial topic or a distinct customer need.
No. It complements keyword research by exploring the questions and concerns surrounding a decision. Search demand, competition, customer evidence, and conversion data still matter.
Think back to that restaurant waiter.
A good waiter does more than hand you a menu. They listen, understand what you are looking for, and help you make a decision.
Your website should be doing much the same thing.
AI's suggested follow-up questions offer another way to explore what customers might need to know. But the real marketing opportunity begins when we validate those questions and use the answers to improve the customer's experience.
We spend plenty of time asking how to get more people to our websites. Perhaps we should spend a little more time asking whether our websites are answering the questions that brought them there.
A website should do more than display your services. It should help prospective customers understand their options, trust your business, and take the next step.
Released Solutions helps small businesses identify content gaps, improve their online presence, and measure whether those improvements are producing meaningful results.
Last fact-checked: October 26, 2026.
