95% of the sub-queries that trigger AI citations have zero traditional search volume, per AirOps' analysis of 548,534 pages across 15,000 prompts. Keyword research tools built for Google cannot find them. They do not exist in any keyword database because they are generated by AI retrieval systems during query fan-out, not typed into search boxes by humans.
This does not mean keyword research is useless for AEO. It means the research method needs to change. You are no longer looking for search volume — you are mapping the question landscape around your topic and building content that answers the full range of questions buyers ask AI engines, including the sub-questions that never appear in traditional research tools.
This post covers the five sources that produce AEO-relevant prompt research, the six prompt types that earn the highest citation rates, and how to turn that research into a content plan that systematically builds AI citation authority.
Why Standard Keyword Research Misses Most AEO Opportunities?
Traditional keyword research starts with search volume. You find phrases people type into Google, sort by volume and difficulty, and create content targeting the best opportunities. This works for driving organic traffic because Google's ranking is primarily a keyword-matching system.
AI search does not work this way. When a buyer asks ChatGPT "what should I do to improve my brand's AI visibility," ChatGPT does not search for that phrase. It breaks the query into sub-queries — "how AI engines select sources," "what schema markup improves citations," "how to track AI brand mentions," "off-site authority signals for AI search" — and retrieves the best available source for each. Your page on "off-site AEO signals" can surface in ChatGPT answers to a query that never mentioned off-site signals, because it is the best source for one of the sub-queries the system generated.
This fan-out behaviour means the content brief is not the keyword. The content brief is the question landscape — every question a buyer might ask about your topic area, at every level of specificity, including the sub-questions they would never think to search for but that AI systems generate automatically.
What Are the Five Sources for AEO Prompt Research?
Source 1: Your own sales and support conversations. The questions buyers ask your sales team before they buy and your support team after they buy are the exact prompts they are running through AI tools. Pull the last 100 support tickets and the last 50 sales call notes. Extract every distinct question. Phrase each as a conversational query the way someone would type it into ChatGPT. This produces 40 to 80 prompts immediately, based on real buyer intent, with zero need for keyword tools.
Source 2: Perplexity and ChatGPT People Also Ask equivalents. Run your primary topic through Perplexity and note the "Related" questions it surfaces. Run it through ChatGPT and note the follow-up questions it suggests. These are the sub-queries the AI generates when processing your primary topic — which means they are the sub-queries it will generate when buyers ask about your category. Each is a potential content brief.
Source 3: Google's People Also Ask boxes. PAA boxes remain the closest proxy for conversational query intent that traditional research tools surface. Run your ten core topic keywords through Google and collect every PAA question that appears. Rephrase them as conversational ChatGPT prompts. "What is the best way to structure content for AI search" is more useful than "AEO content structure best practices" because it matches the actual phrasing buyers use in AI interfaces.
Source 4: Reddit question threads in your category. Search Reddit for your category topic. Look specifically for posts phrased as questions. The question in the thread title is the prompt. The upvoted answers tell you what the AI-citable response would need to include. Subreddits relevant to your buyers are a real-time feed of the questions they are taking to AI tools, because they are taking the same questions to Reddit.
Source 5: Competitor content gap analysis. Use the AEO content gap analysis process to identify prompts where competitors are cited and you are not. The prompts themselves become research inputs — they tell you which question types your competitors have covered and you have not.
What Are the Six Prompt Types That Earn the Highest AI Citation Rates?
Not all prompts are equal for citation purposes. Six prompt types consistently earn the highest citation rates across AI engines, based on citation pattern data from NotionCue tracking and published third-party studies.
Type 1: Definition prompts. "What is [concept]?" These earn citations for informational queries at every stage of the buyer journey. Pages with clean, direct definitions in the first 30 words earn citations at higher rates than pages with extended definitions. Definition prompts are where topical authority starts — a brand that owns the definition of a term owns the first impression for everyone who asks AI about that term.
Type 2: Comparison prompts. "[Option A] vs [Option B]" and "best [category] for [use case]." These are the highest-value commercial prompts. AI engines pull from your own comparison pages, third-party comparison articles, and review platforms when generating comparison answers. If you have no comparison content and no review platform presence, you are entirely dependent on what others say. See the B2B SaaS AEO guide for the comparison content architecture.
Type 3: How-to and procedural prompts. "How do I [task]?" and "Step-by-step guide to [process]." HowTo schema content earns citations for procedural queries. The key difference from other prompt types: the answer needs to be genuinely procedural — numbered steps with specific actions, not a description of what the process involves. "Step 1: Open robots.txt and add 'User-agent: PerplexityBot / Allow: /'" earns citation. "The first step involves reviewing your robots.txt file" does not.
Type 4: Causal and explanatory prompts. "Why does [outcome] happen?" and "What causes [problem]?" These surface in AI answers when buyers encounter unexpected results. "Why is my AI citation rate falling?" is the kind of query that would surface the citation decay post. Causal content earns citations for diagnostic queries — high-value because the buyer is actively trying to fix a problem.
Type 5: Evaluation prompts. "Is [option] worth it for [specific situation]?" and "Should I use [tool/approach] if [condition]?" These are decision-support queries. Buyers at this stage are weeks away from purchase. AI engines pull from case study content, first-hand experience evidence, and specific outcome data when generating evaluation answers. Generic "it depends" content does not earn citations here. Specific data from real cases does.
Type 6: Problem-first prompts. "[I have problem X], what should I do?" These are the prompts buyers run when they are aware of a problem but do not yet know the solution category. "My organic traffic is falling but my rankings are fine" leads to a query about AI Overviews absorbing clicks — which surfaces content about the zero-click landscape and AEO. Content that connects a named symptom to your solution category earns citations at the top of the buyer funnel.
How Do You Turn Prompt Research Into a Content Plan?
Collect your prompts from the five sources above. Aim for 80 to 120 prompts per major topic cluster. Then run every prompt through at least two AI engines — Perplexity for live retrieval signal, ChatGPT for model memory signal — and record what appears.
Sort the results into three buckets. Prompts where you already appear: confirm citation rate, improve BLUF structure if needed, update dateModified. Prompts where a competitor appears: this is your content gap list. Check whether you have existing content that could be restructured for this prompt, or whether new content is needed. Prompts where nobody appears clearly: these are underserved queries where new content can own the space quickly because no strong source exists yet.
Prioritise by commercial intent. Prompts that are decision-stage (comparison, evaluation, problem-first) earn more valuable citations than awareness-stage prompts. Build the decision-stage content first. Awareness-stage content can come later once your citation authority is established in the prompts that matter most commercially.
The NotionCue AI Answer Gap Finder maps your existing content against a full question landscape for your topic area, surfacing which prompts have coverage and which do not. It runs the analysis across ChatGPT, Perplexity, and Google AI Mode simultaneously, so you can see where competitor pages are being cited and which specific prompt types are driving those citations — turning the research process from a manual audit into a 48-hour report.
Frequently Asked Questions
Can I use traditional keyword tools like Ahrefs or Semrush for AEO research?
Yes, as a starting point. People Also Ask data, question-format keyword filters, and topic cluster mapping from traditional tools all produce useful AEO research inputs. The gap is in the 95% of AI-cited sub-queries that have zero search volume and never appear in keyword databases. Use traditional tools to identify your primary topics, then use the five sources above to find the sub-query landscape around those topics.
How many prompts do I need to track for meaningful data?
Ten to fifteen well-chosen prompts per topic cluster give enough data for trend analysis after four to six weeks. Prioritise decision-stage prompts over awareness-stage. Once tracking is established on your core prompts, expand to cover the full question landscape as you build out content for each sub-topic.
Do AEO prompts need to match my product keywords?
Not necessarily. Some of the highest-value citation opportunities are for problem-description prompts that mention no product at all. A buyer asking "why is my brand invisible in AI answers" is an ideal target for AEO content about citation tracking — even though that prompt contains no reference to any specific product. Map prompts to buyer intent and journey stage, not product keyword match.
How often should I refresh my AEO prompt research?
Quarterly for a full research refresh. Monthly for a spot-check of your top 20 tracked prompts to see if new competitors have entered the citation set or if query phrasing has shifted. AI search query patterns evolve faster than traditional search trends because buyer AI usage behaviour is still maturing rapidly.