SolCrys Logo

Prompt Intelligence

Social listening for AEO prompts: turn what buyers ask in public into a prompt set by intent and persona

Buyers word the same need in endless ways, but the intent behind it, the persona asking, and the buying stage stay stable. That makes public conversation on Reddit, LinkedIn, YouTube comments, X, Quora, community forums, and review sites useful for finding the intents, personas, and stated constraints your AEO prompt set should cover, not for copying posts as prompts. This guide gives a 7-step method: pick sources, collect questions and complaints, cluster them by intent, tag persona and buying stage, write 1 representative prompt per intent and persona, check demand, then freeze the set and rerun it. It also covers what each source is good for, a worked example, the platform rules to follow as of Oct. 16, 2026, and the market changes that signal a new intent.

Updated

Questions this guide answers

  • How do I use social listening to build an AEO prompt set?
  • Can I use Reddit posts as AI prompts?
  • How do I find the questions buyers ask AI assistants in my category?
  • How many prompts per intent should an AI visibility prompt set have?
  • How often should I refresh an AEO prompt set?

Direct answer

Social listening for AEO prompts means reading what buyers ask and complain about in public (on Reddit, LinkedIn, YouTube, X, Quora, community forums, and review sites) to decide which intents and personas your prompt set should cover. It isn't a way to collect prompts to paste in. The same need gets worded 100 ways, and none of them is the prompt. What stays stable is the intent (the decision the buyer is making), the persona asking, the buying stage, and the constraints they state, such as budget, company size, integrations, or risk.

The method has 7 steps: pick sources, collect questions and complaints, cluster by intent, tag persona and stage, write 1 prompt per intent and persona, check demand, then freeze the set and rerun it. It goes deeper than the community step in how to find the AI prompts your brand shows up for and puts into practice the argument in Prompts vary. Intent and persona don't.

Why buyers' public questions are worth reading

Public questions carry what keyword data strips out: the constraint that decides the answer, in the buyer's own words. A query says "security camera no subscription." A thread says the poster rents, can't drill, and is switching brands because person detection moved behind a monthly plan.

  • Constraints change which brands come back. Researchers at Northwestern University and Boston University asked 6 models from OpenAI, Google, and Anthropic for brand recommendations through their APIs, with web search off. Needs-based prompts, which describe the buyer's goals and constraints, changed which brands were retrieved. In an illustrative test, a drill brand absent from every plain category answer appeared in just over a third of answers when prompts described the buyer's situation, such as a weekend do-it-yourselfer (Malthouse et al., Sept. 2026).
  • People bring decisions to assistants. In a representative sample of consumer ChatGPT conversations through mid-2025, about 49% of messages were "Asking," seeking information or advice to "be better informed or make better decisions" (Chatterji et al., NBER). A buyer asking peers which option fits is that kind of question, asked in public.
  • The words help; the exact string doesn't. Posts show a persona's vocabulary ("renter-friendly," "no drilling"), which keeps your prompts sounding like buyers. But Google says its AI systems "can understand synonyms and general meanings of what someone is seeking" (Google Search Central), so the need matters more than the wording.

Step 1: Pick sources by where your buyers talk

Start from your personas, not the platforms: a finance lead and a first-time homeowner ask for advice in different places. Pick the 3–4 sources where your buyers ask each other for help.

Some of those threads also feed answers. In a 30-day sample of AI answers SolCrys collected across B2B and consumer categories, ending Oct. 16, 2026, Google AI Overviews cited social and community pages more often than any other engine we track (YouTube most, then LinkedIn, Reddit, Facebook, and Quora), while ChatGPT rarely cited them. When a thread you read also shows up as a Google AI Overviews citation, note it.

SourceWhat it's good forWatch out for
RedditCandid questions with the constraint spelled out; comparisons and switching storiesSkews toward enthusiasts and complaints. Scraping without Reddit's written consent is prohibited, RSS feeds end Nov. 13, 2026, and public API access ends by March 2027.
LinkedInB2B questions with role, company size, and team context, often in the commentsPosts are written for an audience, so needs come out polished. LinkedIn's User Agreement bans scraping tools, so take notes by hand.
YouTube commentsQuestions under review and setup videos; owners' problems that new buyers later ask aboutMany comments are about the video. Note its topic, since the question often depends on it.
XReactions to launches, outages, and price changes, an early sign of a new intentShort and low on context, so the persona is often unclear.
QuoraPlain "which" and "is it worth it" questions, often from first-time buyersCheck the date; many threads are years old.
Community forums (vendor communities, Slack and Discord groups, Stack Overflow, Hacker News)Integration, migration, and edge-case questions from practitionersPrivate groups are off-limits. Vendor forums skew toward existing customers.
Review sites and app store reviewsWhy buyers chose or left a product, and the deal-breakers in the "cons"Written after purchase, so work back to the question the reviewer had before buying.

Step 2: Collect questions and complaints

Collect posts where someone is deciding something: a question, a request for recommendations, a comparison, or a complaint that explains a switch. A complaint is a decision in progress. Record a paraphrase, the source type, the date, and any persona detail, and leave out usernames and anything else that identifies a person.

  • Search for the need, not your brand. Use the category's problem words ("no subscription," "for renters"). Most buying questions name no brand.
  • Read the replies. Follow-ups add constraints, and answers show which brands peers already recommend.
  • Stop at saturation. When new posts stop producing new intents, you have enough for a first pass.

Step 3: Cluster by intent, the decision being made

Group posts by the decision, not the words. "Any cameras that don't charge monthly?" and "Every brand paywalls person detection now, what's left?" share one intent: choose a camera that works without a subscription. Name each intent as a decision (choose, compare, switch from, decide whether it's worth it) so different vocabularies land in the same cluster.

The test: if one good answer would satisfy both posters, they share an intent. If the answer changes with who is asking, that's a persona difference, tagged next.

Step 4: Tag persona and buying stage

Tag each post with a persona and a buying stage. An intent asked by 2 different personas becomes 2 prompts.

  • Persona. Who is asking and what constrains them: role, company size or household, and technical comfort. "Renter who can't drill" is a persona; "millennial" isn't, because it doesn't change the answer.
  • Buying stage. How close they are to deciding: Awareness (learning how something works), Consideration (comparing options and testing risks), or Decision (choosing, pricing, or switching).
  • Constraints. Budget, integrations, compliance, and deal-breakers travel with the persona. They change a shortlist, and they're the kind of detail the Northwestern study varied.

Step 5: Write 1 representative prompt per intent and persona

For each intent and persona that matters, write 1 prompt the way that buyer would ask an assistant. Keep the constraint and the persona's vocabulary, and drop everything else.

  • Put the constraint in. "I rent and can't drill" changes the answer. Without it, you measure a different question.
  • Leave your brand out of discovery and comparison prompts unless the buyer would name it.
  • Don't paste the post. It carries personal details and side stories nobody types into an assistant, and it belongs to someone else.
  • Write 1 prompt, not 10 paraphrases. Paraphrases remeasure the same decision. Spend the effort on reruns instead (how many runs a number needs).
  • Write content for intents, not phrasings. Google says creating "separate content for every possible variation of how people might search" primarily to manipulate rankings or its AI responses violates its scaled content abuse policy.

Worked example: smart home security

Illustrative scenario only. The posts are invented but typical, paraphrased, and tied to no real account. The 7 posts reduce to 6 prompts: the app store review and the first YouTube comment share a decision, so they merge. Each prompt keeps the buyer's constraint and drops the rest.

Raw post (paraphrased)IntentPersonaStageRepresentative prompt
Reddit: "Moving into a second-floor apartment and the landlord says no drilling. Anything decent without wiring or a contract?"Choose a setup with no installation and no contractRenter who can't drill or hardwireConsideration"I rent a second-floor apartment and can't drill or hardwire anything. What's the best home security setup with no contract that I can take with me when I move?"
App store review: "Was fine until person detection went behind a monthly plan."Choose cameras that work without a subscriptionCurrent owner ready to switchDecision"Which home security cameras do person detection and store video locally without a monthly subscription?"
YouTube comment: "Every brand wants $10 a month now. Do any cameras still save video locally?"Same as the row aboveSame as aboveDecisionMerged into the prompt above; this post supplied "store video locally."
YouTube comment: "Does the doorbell keep recording when the Wi-Fi drops? Ours goes out a lot."Make sure it works through an internet outageHomeowner with unreliable internetConsideration"Which video doorbells keep recording when the Wi-Fi goes down, and where is that footage saved?"
Landlord forum: "I manage 6 units and want cameras on the shared entrances, but tenants are worried about privacy."Choose cameras for shared areas without privacy problemsSmall landlord with several unitsConsideration"I'm a landlord with 6 rental units. Which security cameras work for shared entrances, and what privacy rules should I follow?"
X: "Is paid professional monitoring worth it if my cameras already alert my phone?"Decide whether professional monitoring is worth the costHomeowner with a self-monitored systemDecision"Is professional monitoring worth the monthly cost if my cameras already send alerts to my phone?"
Quora: "What happens to a smart lock when the battery dies?"Understand how a smart lock failsFirst-time smart home buyerAwareness"What happens to a smart lock when the battery dies, and how do I get in?"

Step 6: Check demand before you commit

Posts show which intents exist, not how many buyers have them, because communities over-represent the vocal, the technical, and the frustrated. The NBER authors say an earlier study of AI use cases built by hand-labeling Reddit, Quora, and online articles "likely resulted in an unrepresentative distribution of use cases." Rank intents on evidence from more than one place.

  • Search demand for the underlying question, from Search Console, Google Trends, or your keyword tool. For Google AI Overviews and AI Mode, which retrieve from Google's Search index, it's direct evidence: Google calls optimizing for them "still SEO" (Google's AI optimization guide). AEO for Google is an operating layer on top of SEO foundations.
  • Recurrence. Count the distinct threads, sources, and weeks an intent appears in. Upvotes measure the audience, not the need.
  • Your own buyers. Check each intent against what sales, support, and closed-won interviews hear.

Step 7: Freeze the set, rerun it, and refresh monthly

Freeze the set, run every prompt several times on the engines your buyers use, and read results by intent and persona. Because intents hold still, a change in your numbers reflects a change in the answers, not in the questions. After a fix ships, rerun the same prompts and judge the move across several runs; to credit the fix, check whether untouched prompts on the same engine moved too.

Each month, repeat Steps 2–6 on new posts. Add a prompt for each new intent or persona, and don't reword existing ones, because a reworded prompt starts a new history. Keep prompts where you're never named as long as the intent has demand (why).

Ground rules for listening

Listen within each platform's rules, and keep people out of your dataset. Platform details are as of Oct. 16, 2026.

  • Use the access each platform allows. Reddit's User Agreement says "scraping the Services without Reddit's prior written consent is prohibited." According to TechCrunch, Reddit will end RSS feeds on Nov. 13, 2026, remove API access for developers who haven't registered their apps by Jan. 12, 2027, and end public API access by March 2027. LinkedIn's User Agreement bans software used "to scrape or copy the Services, including profiles and other data." TechCrunch notes the API change affects social listening products, so if you use one, ask how it gets each platform's data.
  • Stay out of private spaces. Don't collect from private groups, closed Slack or Discord communities, or other members-only spaces, even ones you belong to.
  • Don't copy personal data. Store the paraphrase, source type, and date, never usernames, names, employers, or screenshots that show them.
  • Paraphrase when you quote. A verbatim post can be searched back to its author.
  • Listen; don't plant. Questions posted under invented personas corrupt the data you're trying to read.

What signals a new intent

New intents appear when the market changes, not when wording does. When one of these events shows up in more than one source, run it through Steps 3–6 before you add a prompt.

  • A new entrant. "Has anyone tried [new name]?" threads change comparison intents.
  • A pricing change. A new tier, a price rise, or a feature moving behind a paywall produces switching and "is it still worth it" questions.
  • A regulation or a safety event. New rules, a recall, or a breach produce compliance and "is it safe" questions.
  • A product launch or a new standard. New capabilities create "can it do X now" and migration questions.
  • A new kind of buyer. The same question from a new role or company size is a new persona with its own prompt.

How SolCrys helps

SolCrys builds each workspace's Golden Prompt Set from search demand, the questions people ask around it, and community discussion where available. Every prompt carries its intent, as a prompt type, and its persona, and you can add the questions you find by listening. Prompt Pulse is a free, public set of buyer-style questions by industry, labeled by intent, persona, and buying stage, with relative demand. Signals, the weekly market brief, surfaces competitor, industry, and community items.

The set is frozen and rerun on ChatGPT, plus Gemini, Google AI Overviews, Perplexity, and Claude on paid plans, so the Measure → Diagnose → Execute → Verify loop shows whether an answer moved for an intent and persona after a fix, and whether the move held across runs. To test 10 buyer questions on ChatGPT, Start Free: free, with email verification and no credit card.

Sources

FAQ

Can I use Reddit posts as AI prompts?

Not as they are. A post is one person's wording, with personal details and context nobody types into an assistant. Use it as evidence instead: map it to an intent and persona, then write 1 prompt the way that buyer would ask. Collect within Reddit's rules. Its User Agreement prohibits scraping without written consent, and its RSS feeds end Nov. 13, 2026.

How many prompts per intent should a prompt set have?

One per intent and persona that matters. Add a second only when another persona asks with a constraint that changes the answer. Rewording the same need remeasures the same decision, so spend the effort on rerunning each prompt several times on each engine you track.

How often should I refresh a prompt set?

Review it monthly for new intents, and sooner after a market event such as a new competitor, a price change, or a regulation. Add prompts for new intents and personas, but don't reword existing ones, because rewording breaks their trend. Keep prompts where you're never named as long as buyers still ask them.

Is social listening for AEO different from social listening for brand monitoring?

Yes. Brand monitoring tracks mentions of your brand and how people feel about it. Listening for AEO reads the category's questions, most of which name no brand, to decide what to measure. Its output is a prompt set organized by intent and persona, not an alert feed. The same tool can serve both if you search for needs rather than your name.

Which platforms should I listen on first?

The 3–4 places your buyers ask each other for advice. For B2B, that's often LinkedIn comments, practitioner subreddits and communities, and review sites. For consumer brands, it's often Reddit, YouTube comments, app store reviews, and Quora. Check what you find against your sales and support conversations.

Free ChatGPT visibility check

See where AI answers skip your brand — then fix it, free

Start a free workspace with your domain: 10 buyer-intent prompts through ChatGPT show where you are mentioned, cited, or skipped, and who gets recommended instead. A free content audit in the same workspace hands you the first fix to ship.

Start Free

Free · No credit card · About 5 minutes

Related guides

How SolCrys Works

Golden Prompt Set Methodology

How SolCrys builds a Golden Prompt Set from real demand signals for your category, and what each prompt carries.

Prompt Intelligence

AI Search Prompt Set

A practical guide to building an AI search prompt set across category, comparison, risk, implementation, competitor, and brand-specific prompts.

How SolCrys Works

Don't delete 0-visibility prompts: a four-state lifecycle for AEO prompt sets

Most teams delete prompts that show 0 visibility. Eason Wang, SolCrys CPO, on why that's the wrong heuristic — a 0-visibility prompt with real buyer intent is a gap to fix, not a prompt to remove — and the four-state lifecycle (Keep + Act, Rewrite, Archive, Add) we ship to enforce it.