To find the questions your customers ask AI, combine direct customer research with analysis of how people phrase prompts in tools such as ChatGPT, Google AI Overviews, Gemini and Perplexity. The strongest approach is not to guess what people ask. It is to collect real questions from sales calls, support tickets, reviews, search data, social conversations and on-site behaviour, then turn those questions into accurate, authoritative answers.
This matters because people increasingly ask AI systems for recommendations, comparisons, explanations and reassurance before they contact a business. They may ask, “Which provider is best for this problem?”, “Is this company legitimate?”, “What are the risks?”, or “What should I do if negative information appears about my business?” The answers AI systems provide can affect trust, enquiries and reputation before a prospective customer ever visits your website.
For businesses, AI customer questions are therefore both a research opportunity and a visibility issue. Understanding them helps you improve your website, customer communications, reputation strategy and AI-search optimisation.
Why customer questions in AI search matter
Traditional search often begins with short phrases such as “reputation management UK” or “remove negative Google results”. AI search encourages longer, more specific and more conversational questions. A user can explain their circumstances, mention several constraints and ask for a tailored recommendation in a single prompt.
For example, someone may search Google for “remove false article”. In an AI tool, they may ask: “A local news article contains an allegation about my company that is misleading but has not been removed by the publisher. What options exist in the UK?”
That difference matters. The AI prompt contains the customer’s actual problem, concerns and decision criteria. It may reveal whether they care most about removal, search-result de-indexing, legal risk, confidentiality, cost, speed, reputation repair or long-term visibility.
AI systems also influence the research journey differently from conventional search results. Google Search may show a list of pages for a user to evaluate. Google AI Overviews, ChatGPT, Gemini and Perplexity may instead summarise sources, compare options or present a direct answer. A company can have a well-ranking webpage and still be absent from an AI-generated answer if its information is unclear, poorly supported, insufficiently relevant or overshadowed by stronger sources.
Start with real customer language, not assumed keywords
The most valuable questions are usually already present in your business. Marketing teams often start with keyword tools, but the language used by actual customers is usually more precise and commercially useful.
Review sales and enquiry conversations
Sales calls, discovery calls, email enquiries and live-chat transcripts reveal the questions people ask when they are close to making a decision. Look beyond the obvious “how much does it cost?” question. Note the concerns that appear before, after or underneath it.
For an online reputation management company, recurring questions might include:
- Can an article be removed from the original publisher?
- Can Google remove a result if the publisher will not remove it?
- Will a negative article appear when someone asks ChatGPT about my company?
- What is the difference between removal and pushing results down?
- Can a false accusation be addressed without starting legal action?
- How long can reputation repair take?
- Will creating positive content make an old news article disappear?
These questions are useful because they identify decision barriers. A page that answers the question clearly can help a customer move forward, while also giving search engines and AI retrieval systems a focused source to understand.
Mine support tickets, emails and customer-service logs
Support questions are especially useful for identifying gaps in your existing content. If customers repeatedly ask a question after reading your website, either the answer is missing, difficult to find or too vague.
Group questions into themes rather than treating each ticket as a separate request. For example, “Why is this still visible on Google?”, “Why does it show in search but not on the publisher’s site?” and “Can you get it removed from Google?” all point to a need for a clear explanation of indexing, cached results, source removal and de-indexing.
This process can also expose terminology problems. Customers may use “delete from Google” to mean several different things. A professional response should distinguish between:
- Source removal: content is removed or changed by the website or publisher that hosts it.
- Search-engine de-indexing: a search engine stops showing a page or result for particular searches, while the source page may remain online.
- Search-result suppression: stronger, relevant and authoritative content improves visibility so unwanted results become less prominent.
These outcomes are different, and the appropriate route depends on the content, publisher, jurisdiction, search engine and facts of the case.
Use reviews as a source of unfiltered questions
Reviews do not always contain question marks, but they often reveal the questions people had before choosing a provider. Positive reviews may indicate what reassured a customer. Negative reviews may show where expectations were unclear or where a process failed.
Look for statements such as “I did not understand what was included”, “I expected this to happen more quickly”, “nobody explained the difference between X and Y”, or “I was worried about confidentiality”. These are content opportunities, but they are also operational feedback. Publishing an excellent answer will not solve a service problem if the underlying process remains unclear.
Where can you find AI customer questions beyond your own business?
Your internal data is the best starting point, but it is not the whole market. Prospective customers may be asking questions that never reach your team because they find an answer elsewhere, choose a competitor or decide not to enquire at all.
Search queries and Search Console data
Google Search Console can show many of the search queries that lead users to your website. Pay particular attention to longer queries, question terms and queries that generate impressions but relatively few clicks. Low click-through rates can suggest that your title and snippet do not match the searcher’s intent, or that the page does not provide a sufficiently clear answer.
Look for modifiers including:
- how, why, when, can, should and what;
- best, reputable, safe, legitimate and confidential;
- remove, hide, de-index, suppress, correct and challenge;
- Google, ChatGPT, AI Overview, Gemini and Perplexity;
- company name, personal name, location, service type or industry.
Search Console does not show every query and should not be treated as a complete record of customer demand. It is nevertheless a valuable evidence source when combined with enquiries and page-level engagement data.
Google’s “People also ask” and related searches
Google’s question features can indicate common adjacent concerns. They are useful for discovering phrasing and subtopics, but they should not dictate your entire content plan. A question appearing in a search feature is not automatically commercially important, accurate or relevant to your audience.
Use these results to test whether your internal findings are reflected more broadly. If customers ask about the difference between removal and suppression, and Google repeatedly surfaces similar questions, that is a strong sign that a clear explanatory page may serve a real need.
Forums, social platforms and industry communities
Reddit, specialist forums, LinkedIn discussions, community groups and professional networks can reveal questions people are reluctant to ask a company directly. They may seek peer reassurance before speaking to a provider, particularly where a problem involves a personal reputation issue, negative press, reviews or allegations.
Do not copy forum answers uncritically. Discussions can be incomplete, jurisdiction-specific or factually wrong. Instead, use them to understand the language, anxieties and misconceptions that deserve a properly qualified answer on your own website.
Competitor reviews and competitor content gaps
Competitor research is useful when it focuses on unmet needs rather than imitation. Read public reviews and published content to identify recurring expectations, objections and blind spots in the market.
For instance, many reputation-management websites speak broadly about “removing negative content” without explaining that a publisher controls the original page and that Google does not normally remove lawful pages simply because they are damaging. A business that explains the distinction honestly may be more useful to customers and more credible to AI systems seeking a precise source.
How to use AI tools for question research without treating their output as fact
AI tools can help organise and expand question research, but they should be used as a prompt generator rather than a source of market truth. A language model can suggest plausible questions based on patterns in its training data; it cannot confirm that your customers are asking them now, in your market or at meaningful volume.
A sensible workflow is:
- Provide the AI tool with anonymised themes from real calls, reviews or support conversations.
- Ask it to group questions by customer stage, such as awareness, evaluation, purchase, onboarding and retention.
- Ask for likely follow-up questions and objections.
- Check each suggested question against real evidence, search data and professional judgement.
- Prioritise questions with clear customer value, not merely those that sound searchable.
Never upload confidential client information, personal data, sensitive dispute material or legally privileged communications into public AI tools without appropriate safeguards. This is particularly important for businesses handling reputation issues, employment matters, legal disputes, health information or personal allegations.
Build a customer-question map for search and AI visibility
Collecting questions is only useful if you can decide what to do with them. A customer-question map connects each question to the person asking it, the context in which it arises and the best type of answer.
A practical map should record:
- the exact question or closest authentic wording;
- the customer type, sector or audience segment;
- the stage of the decision journey;
- the underlying concern or desired outcome;
- the evidence showing that the question matters;
- the best format for answering it;
- the internal expert responsible for accuracy;
- any legal, regulatory or reputational sensitivities.
Not every question needs a standalone article. A simple factual question may be answered in a service page, a comparison table or a concise FAQ. A complex question with multiple outcomes, such as “Can negative news be removed from Google and AI search?”, may need a dedicated resource because it involves publisher action, indexing, source quality, search visibility and potentially jurisdiction-specific considerations.
Reputation Ace discusses this issue in more detail in its guide to negative news articles appearing in AI search results.
Prioritise questions by risk, intent and business value
Businesses often make the mistake of publishing answers only to high-volume informational questions. That can build useful reach, but it may neglect the questions that influence trust and conversion.
Prioritise customer questions using three criteria:
1. Customer impact
How much does the answer affect a customer’s ability to make a safe, informed decision? Questions involving cost, confidentiality, legal exposure, safety, reputation or eligibility usually deserve careful treatment.
2. Reputation risk
Could a poor, missing or misleading answer create distrust? For example, a company facing negative search results should not imply that removal is automatic. Honest explanation of available options is more credible than an unrealistic promise.
3. Commercial relevance
Does the question indicate that someone is actively evaluating a solution? Questions such as “Which reputation-management approach is right for a false article?” or “Can you remove my name from Google?” may have strong commercial intent, but they still require balanced, useful answers.
For people researching name-based results, Reputation Ace has a dedicated resource on removing your name from Google search results. The available options depend on where the information appears, whether it is accurate, the relevant search engine and the circumstances involved.
Write answers that AI systems and humans can understand
AI-search optimisation is not about writing for a robot at the expense of the reader. It is about making useful information easy to interpret, retrieve and verify. Clear writing improves ordinary search visibility and customer confidence as well.
Each important answer should make sense on its own. Start with a direct response, then explain the conditions, limitations and next steps. Avoid vague claims such as “we can handle everything” or “results are guaranteed”.
For example:
Weak answer: “We can remove negative Google results quickly.”
Better answer: “Whether a negative Google result can be removed depends on the original publisher, the content, Google’s applicable policies and the facts of the case. If removal is not available, de-indexing or a search-result suppression strategy may be more appropriate.”
The second answer is clearer, more accurate and more useful. It explains that “Google removal” is not a single process and avoids creating an expectation that may not be achievable.
Use entity clarity and corroboration
AI systems and search engines need to understand who a business is, what it offers and why it is a relevant source. Keep company names, services, locations, subject-matter expertise and contact information consistent across your website and reputable third-party references where appropriate.
For Reputation Ace, this means making clear that it is a UK online reputation management and AI-search optimisation company, with work that can involve content removal, publisher engagement, search-result de-indexing, suppression, reputation repair and content strategy.
Authoritative content should also be supported by evidence where evidence is available. Cite primary sources, official platform policies or relevant professional guidance when making claims that require substantiation. Do not create artificial citations or publish pages merely to occupy search results.
Connect customer questions to reputation management strategy
Customer-question research can expose a reputation problem before it becomes a crisis. If people repeatedly ask whether your business is trustworthy, whether an allegation is true or why a negative review appears prominently, your content strategy should not simply attempt to “out-rank” the concern. First understand what customers are seeing and why it is influencing their judgement.
A reputation assessment may consider the source content, its visibility for brand or personal-name searches, whether it appears in AI-generated answers, its accuracy, the authority of the publisher and the potential remedies available.
Where material is false or misleading, professional options may include publisher engagement and, in suitable circumstances, efforts relating to source removal or correction. In some cases, a removal request to a search engine or Right to Be Forgotten considerations may be relevant, particularly for personal data and name-based searches. These routes are fact-specific and should not be confused with a right to erase unwanted information from the internet.
When removal or de-indexing is not possible, search-result suppression can be an appropriate long-term strategy. This involves improving the visibility of accurate, relevant and useful content so that search results better reflect the current reality. It is not the same as deleting the original source, and it does not guarantee a particular ranking position.
Businesses affected by prominent results can explore the distinction further in Reputation Ace’s guide to negative Google search results that are damaging a name or business.
Common mistakes when researching AI customer questions
- Assuming AI prompts are the same as keyword searches. AI prompts are often longer, contextual and multi-part.
- Relying only on AI-generated question lists. Suggested questions require validation against real customer evidence.
- Publishing answers without expert review. This is risky for legal, health, financial, reputational and regulated subjects.
- Ignoring negative or uncomfortable questions. These are often the questions most likely to affect trust.
- Answering every question with a sales page. Some questions need neutral explanation before a reader is ready to enquire.
- Confusing source removal with suppression. Customers need accurate language about what each route can and cannot achieve.
- Failing to monitor results over time. Search results, AI answers, publishers and public conversations can all change.
Frequently asked questions
How do I find out what questions customers ask ChatGPT?
Start with real customer conversations, support logs, reviews and search-query data, then use ChatGPT or another AI tool to help group and expand the themes. Do not assume that questions suggested by an AI tool represent actual demand without checking them against evidence.
Can I see the exact prompts people use in AI search tools?
Usually, no. Businesses generally do not receive a complete list of private prompts entered into tools such as ChatGPT or Gemini. You can infer likely questions from your own customer data, search behaviour, public discussions and the questions prospects bring to your team.
What is the difference between SEO, AEO and GEO?
SEO focuses on improving visibility in conventional search results. AEO, or answer engine optimisation, focuses on making content suitable for direct answers and answer-led search experiences. GEO, often used to mean generative engine optimisation, concerns how clear, authoritative information may be understood and surfaced by generative AI systems. These disciplines overlap but do not guarantee visibility in any particular system.
Why does my company appear in AI answers but not on the first page of Google?
AI systems and conventional search results do not always select or present information in the same way. An AI answer may draw on sources, entity relationships and contextual relevance that differ from the pages visible in a standard Google results page. Conversely, strong Google rankings do not ensure inclusion in AI-generated answers.
Can negative content be removed from AI search results?
It depends on the underlying source and the AI system. If the original content is removed, corrected, de-indexed where applicable or becomes less visible, that may affect future AI outputs, but no outcome is automatic. AI tools may use different data sources and update on different schedules.
Should I create a separate page for every customer question?
No. Create separate pages for substantial questions with distinct intent, but group closely related questions into comprehensive pages where that gives the reader a better answer. Thin, repetitive pages are rarely useful for customers or search visibility.
When should a business seek professional reputation-management advice?
Professional advice is sensible where damaging content is prominent, allegations are false or misleading, a publisher will not engage, personal data is involved, negative material appears in AI search, or the issue is affecting revenue, employment or personal wellbeing. A proper assessment can identify whether removal, de-indexing, suppression, replacement content or monitoring is the most realistic approach.
Need Help With Your Online Reputation?
If negative search results, articles, reviews or other online content are affecting you or your business, Reputation Ace can help.
Reputation Ace helps businesses and individuals understand and improve online reputation and visibility across traditional search engines and AI-powered search. Depending on the circumstances, this may involve removal, de-indexing, suppression, content strategy or AI-search optimisation. Discuss your situation confidentially by telephone on 0800 088 5506, by email at info@reputationace.com, or chat with us confidentially on WhatsApp: 07446 454462.