Key Takeaways: Earning citations in AI search requires testing the exact prompts your buyers ask. This library contains 50 real AEO prompts organized into 5 intent categories, ready to copy-paste into ChatGPT, Perplexity, and Google AI Overviews to benchmark your brand.
When potential buyers research software today, they rarely type 2-word keywords into Google. Instead, they enter complete, conversational prompts into AI assistants.
If a buyer asks ChatGPT, "What are the top 3 AI-native visibility tools for mid-market SaaS under $250/mo?", the engine evaluates structured data, comparison tables, and cited statistics to generate a direct recommendation.
To help growth teams audit their AI Share of Voice, we compiled 50 real buyer prompts across 5 intent buckets. Copy and paste these templates into your AI tracking workflow.
01 — Discovery1. Category Discovery Prompts (Prompts 1–10)
Category discovery prompts represent top-of-funnel research where buyers seek to identify leading solutions in a product category.
1. "What are the top 5 software platforms for [Category] in 2026?"
2. "Who are the emerging market leaders in [Category] for growth-stage SaaS?"
3. "Best tools to solve [Specific Pain Point] for a team of [Team Size]?"
4. "What software categories handle [Workflow] automatically?"
5. "List the most widely used enterprise tools for [Industry Vertical]."
6. "Recommended tools for replacing manual [Process Name]?"
7. "What options exist for tracking [Metric Name] in real-time?"
8. "What are the core capabilities needed in modern [Category] software?"
9. "Which platforms offer native integration between [System A] and [System B]?"
10. "What software stack do mid-market companies use for [Function]?"
Execution Note: When running discovery prompts, observe whether the LLM presents bullet lists or numbered rankings. Bulleted lists indicate equal weight, while numbered rankings indicate strong co-citation authority.
02 — Evaluation2. Vendor Evaluation & Comparison Prompts (Prompts 11–20)
Evaluation prompts are middle-of-funnel queries where buyers compare specific vendors head-to-head before making a shortlist.
11. "Compare [Brand A] vs [Brand B] on features, pricing, and ease of use."
12. "What are the main pros and cons of [Brand Name] according to user reviews?"
13. "Why would a company choose [Brand A] over [Brand B]?"
14. "What are the top 3 alternatives to [Competitor Name] when budget is limited?"
15. "Is [Brand Name] suitable for enterprise security requirements?"
16. "Which software performs better for [Specific Use Case]: [Brand A] or [Brand B]?"
17. "What features does [Brand A] miss that [Brand B] includes natively?"
18. "Which [Category] tool has the best API documentation and developer support?"
19. "Compare [Brand A] and [Brand B] for a company with [Number] employees."
20. "What are common complaints from users switching away from [Competitor Name]?"
Execution Note: LLMs extract evaluation answers directly from third-party review sites, comparison articles, and markdown tables. Having a structured comparison page on your domain increases citation odds by 3.4x.
03 — Technical3. Technical & Security Troubleshooting Prompts (Prompts 21–30)
Technical prompts focus on compliance, architecture, data security, and crawler indexability.
21. "Does [Brand Name] support SOC2 Type II compliance and data encryption?"
22. "How do I configure robots.txt to allow [AI Crawler Name] while blocking scraper bots?"
23. "What is the recommended architecture for deploying [Category] software on AWS?"
24. "How does [Brand Name] handle data privacy and GDPR compliance?"
25. "What are the technical prerequisites for installing [Brand Name] SDK?"
26. "How to troubleshoot integration errors between [System A] and [Brand Name]?"
27. "Does [Brand Name] store customer prompt data or use it for model training?"
28. "What API rate limits apply to [Brand Name] developer accounts?"
29. "How to structure schema.org markup for AI search engine extraction?"
30. "What user-agents does [AI Engine Name] use for live web retrieval?"
Execution Note: Technical prompts trigger high footnote citation density. AI models cite technical documentation, GitHub repositories, and developer blogs that provide unambiguous code blocks.
04 — Pricing & ROI4. Pricing & ROI Calculation Prompts (Prompts 31–40)
Pricing prompts carry the highest commercial intent. Buyers use AI to analyze hidden fees, tier limits, and expected payback periods.
31. "How much does [Brand Name] cost per month for a team of [User Count]?"
32. "Are there hidden add-on fees in [Competitor Name] subscription plans?"
33. "What is the entry price for [Category] software across leading vendors?"
34. "What is the average ROI timeframe when implementing [Brand Name]?"
35. "Is there a free tier or free trial available for [Brand Name]?"
36. "How does [Brand A] pricing compare to [Brand B] at scale?"
37. "What contract terms and billing cycles does [Brand Name] require?"
38. "Which [Category] tools offer flat-rate pricing without user seat caps?"
39. "What is the price-per-query cost for [Brand Name] API usage?"
40. "How to build a business case and budget proposal for [Category] software?"
Execution Note: AI models quote explicit pricing numbers from scannable tables. If your pricing page hides rates behind "Contact Sales", LLMs will pull third-party estimates—or skip your brand entirely.
05 — Implementation5. Implementation & Migration Prompts (Prompts 41–50)
Implementation prompts target lower-funnel decision makers preparing to deploy a new solution or migrate away from legacy tools.
41. "How long does it take to implement [Brand Name] for mid-market teams?"
42. "Step-by-step guide for migrating from [Competitor A] to [Brand B]."
43. "What onboarding support and training does [Brand Name] provide?"
44. "What are common implementation pitfalls when setting up [Category] software?"
45. "How many engineering hours are required to deploy [Brand Name]?"
46. "What data backup steps are needed before migrating to [Brand Name]?"
47. "Checklist for evaluating vendor SLA agreements in [Category]."
48. "How to train internal teams on using [Brand Name] dashboards?"
49. "What custom configurations are required for enterprise rollout of [Brand Name]?"
50. "Who are recommended implementation agency partners for [Brand Name]?"
06 — Audit GuideHow to execute an AEO prompt audit in 3 steps
Step 1: Select 10 Prompts per Intent Bucket
│ Pick 2 prompts from each of the 5 categories above
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Step 2: Sample across 3 Primary AI Engines
│ Query ChatGPT (Search enabled), Perplexity, & Google AI Overviews
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Step 3: Calculate Your AI Share of Voice (SOV)
│ Count (Your Brand Mentions / Total Prompt Runs) x 100
If your brand appears in fewer than 20% of category prompt responses, your content lacks structured passage formatting and statistical citation anchors.
07 — FAQFrequently asked questions
Want to automate your AEO prompt tracking across 180+ buyer queries? Generate your free AI visibility report
Virender Singh is the technical lead at Visiby, where he builds the crawling, structured-data, and answer-engine analysis behind the product. He writes about the technical mechanics of answer engine optimization. View full profile →