Free Resource
47 AI Buyer-Intent Prompts to Audit Your Brand
Copy these prompts into ChatGPT, Perplexity, Gemini, and Claude to discover exactly how AI describes your product to potential buyers. Organized in 8 categories with guidance on what to look for in each answer.
How to Use This Prompt Library
- 1. Replace placeholders — Swap [YourProduct], [Competitor], [category], [use case], and [segment] with your actual brand names and terms.
- 2. Test across all 4 engines — Run each prompt in ChatGPT, Perplexity, Gemini, and Claude. Each engine gives different answers from different sources.
- 3. Record the answers — Save the full response, not just whether you're mentioned. The specific claims AI makes are what matter.
- 4. Flag inaccuracies — Mark any incorrect pricing, missing features, hallucinated claims, or competitor displacement.
- 5. Fix your source content — Update the pages AI cites to correct inaccuracies. See our step-by-step fixing guide.
1. Comparison Prompts
These prompts reveal how AI positions you against specific competitors. Look for: which product AI recommends first, what differentiators it highlights, and whether claims about your product are accurate.
How competitor displacement works →"Compare [YourProduct] vs [Competitor] for [use case]"
Look for: Which product is recommended first? Are feature comparisons accurate? Does AI mention your key differentiators?
"What are the pros and cons of [YourProduct] compared to [Competitor]?"
Look for: Are the 'cons' listed actually true? Are any outdated limitations still being cited?
"[YourProduct] vs [Competitor] — which is better for [segment]?"
Look for: Does AI give a clear recommendation or hedge? Is the recommendation based on accurate information?
"Is [YourProduct] better than [Competitor] for small teams?"
Look for: Does AI know your team-size positioning? Does it cite pricing correctly for small team plans?
"Why would someone choose [Competitor] over [YourProduct]?"
Look for: Are the reasons AI gives factually correct? This reveals the specific claims driving buyers away.
"What do users say about switching from [Competitor] to [YourProduct]?"
Look for: Does AI reference real user experiences? Are migration concerns accurate?
"I'm evaluating [YourProduct] and [Competitor] — what questions should I ask on a demo?"
Look for: This shows AI's understanding of your product's evaluation criteria and competitive landscape.
"Create a comparison table of [YourProduct], [Competitor A], and [Competitor B] features"
Look for: Feature accuracy, pricing accuracy, and whether AI includes features you've recently launched.
2. Category & Recommendation Prompts
These prompts test whether AI recommends you when buyers search by category. This is where competitor displacement is most visible — and most damaging.
What is AI buyer perception →"What's the best [category] tool for [use case]?"
Look for: Are you in the top 3 recommendations? How are you positioned vs competitors?
"Top 5 [category] tools for [segment] in 2026"
Look for: Are you listed? What rank? What does AI say about you vs each competitor?
"What [category] tool should a [company size] company use?"
Look for: Does AI match you to the right company size? Are scaling concerns mentioned?
"Recommend a [category] solution for a team that needs [specific capability]"
Look for: Does AI know you support this capability? Is the recommendation accurate?
"What are the top-rated [category] platforms according to users?"
Look for: Does AI cite review sites? Are the ratings and user sentiments accurate?
"I need a [category] tool that integrates with [tool]. What are my options?"
Look for: Does AI know about your integrations? Are any integration claims wrong?
3. Pricing & Value Prompts
Pricing misinformation is one of the most common and damaging AI hallucinations. A wrong number can disqualify you before a buyer ever visits your site.
How AI hallucinations cost pipeline →"How much does [YourProduct] cost?"
Look for: Is the pricing accurate? Does AI know about all your tiers? Is the free trial mentioned?
"Is [YourProduct] expensive compared to [Competitor]?"
Look for: Does AI frame your pricing correctly? Are value differentiators mentioned alongside cost?
"What's the cheapest [category] tool?"
Look for: Does AI position you correctly in the price spectrum? Are there incorrect price claims?
"Does [YourProduct] offer a free trial or free plan?"
Look for: Is your free trial/plan information accurate? Are trial limitations correct?
"[YourProduct] pricing plans — what do I get on each tier?"
Look for: Feature-per-tier accuracy. This is where outdated information causes the most damage.
"Is [YourProduct] worth the price for a startup?"
Look for: How AI frames your value proposition. Does it mention ROI or specific benefits?
Running these prompts manually takes hours.
Perciva runs them automatically across all 4 AI engines — weekly, with alerts when answers change.
Start Free Trial4. Feature & Capability Prompts
These prompts test whether AI accurately represents what your product can and can't do. Missing features and hallucinated capabilities are equally damaging.
How to fix AI misinformation →"Does [YourProduct] support [specific feature]?"
Look for: Accuracy of yes/no answer. Does AI know about recently launched features?
"What features does [YourProduct] have that [Competitor] doesn't?"
Look for: Are your unique differentiators correctly identified? Are any fabricated?
"Can [YourProduct] do [specific workflow]?"
Look for: Does AI understand your product's use cases? Is the answer based on current capabilities?
"What are the limitations of [YourProduct]?"
Look for: Are listed limitations still accurate? This is where outdated information persists longest.
"Does [YourProduct] have an API?"
Look for: Technical capability accuracy. API docs are often well-indexed by AI engines.
"What reporting and analytics does [YourProduct] offer?"
Look for: Does AI know your reporting capabilities? Are dashboards and exports mentioned correctly?
5. Integration & Compatibility Prompts
Integration queries are high-intent — buyers asking about specific integrations are deep in evaluation. Wrong answers here directly kill deals.
Why your source pages matter →"Does [YourProduct] integrate with Salesforce?"
Look for: The #1 hallucination type. AI often says 'no' even when you have deep integrations.
"What integrations does [YourProduct] support?"
Look for: Completeness of the list. Are recently added integrations included?
"Can [YourProduct] connect to [specific tool] via API or Zapier?"
Look for: Does AI know your connectivity options? Are workarounds mentioned when direct integration doesn't exist?
"Does [YourProduct] work with [CRM/ERP/marketing tool]?"
Look for: Enterprise integration accuracy. Critical for mid-market and enterprise deals.
"How does [YourProduct] handle data import from [Competitor]?"
Look for: Migration capability awareness. This affects switching costs in buyer's mind.
6. Trust, Security & Compliance Prompts
Security and compliance questions are deal-breakers. A single wrong answer about your SOC 2 status or data handling can eliminate you from enterprise shortlists.
GEO vs SEO: Why you need both →"Is [YourProduct] SOC 2 compliant?"
Look for: Certification accuracy. AI may not know about recently obtained certifications.
"How does [YourProduct] handle data privacy and GDPR?"
Look for: Data handling claims accuracy. Are your privacy measures correctly represented?
"Is [YourProduct] secure enough for enterprise use?"
Look for: How AI frames your security posture. Are specific measures mentioned or is it vague?
"Where does [YourProduct] store customer data?"
Look for: Data residency accuracy. Critical for regulated industries and international buyers.
"Has [YourProduct] had any security incidents or data breaches?"
Look for: Check for fabricated incidents. AI sometimes hallucinates security events that never happened.
Running these prompts manually takes hours.
Perciva runs them automatically across all 4 AI engines — weekly, with alerts when answers change.
Start Free Trial7. Alternative & Switching Prompts
These prompts capture buyers who are actively looking to switch from a competitor — the highest-intent traffic you can get.
The ROI of AI perception monitoring →"What are the best alternatives to [Competitor]?"
Look for: Are you listed as an alternative? How are you positioned among options?
"I'm unhappy with [Competitor] — what should I switch to?"
Look for: Does AI recommend you? Does it understand the pain points that drive switching?
"Cheaper alternatives to [Competitor] with similar features"
Look for: Price-value comparison accuracy. Are your differentiators mentioned?
"[Competitor] alternatives for [specific use case]"
Look for: Use-case matching accuracy. Does AI know your strengths in this specific area?
"How hard is it to migrate from [Competitor] to [YourProduct]?"
Look for: Migration complexity perception. AI's answer here directly affects switching intent.
8. Reputation & Sentiment Prompts
These prompts reveal the overall narrative AI has built about your brand — the story buyers hear before they ever talk to your sales team.
How to monitor your AI brand perception →"What do people think of [YourProduct]?"
Look for: Overall sentiment. Is the narrative positive, neutral, or negative? Are specific complaints mentioned?
"Is [YourProduct] a good company to buy from?"
Look for: Trust signals AI surfaces. Does it mention support quality, uptime, or company stability?
"What are the most common complaints about [YourProduct]?"
Look for: Are complaints current or outdated? This is where fixed issues still haunt your perception.
"Tell me about [YourProduct] — who are they and what do they do?"
Look for: Brand identity accuracy. Is your product description, founding story, and positioning correct?
"Would you recommend [YourProduct] for a [segment] company?"
Look for: AI's recommendation logic. What factors does it weigh? Are they accurate?
"What's the customer support like at [YourProduct]?"
Look for: Support perception. AI often cites review site sentiment for this.
How to Score Your Results
After running these prompts, score each AI engine's response:
✅ Accurate & Favorable
AI correctly describes your product and recommends it. No action needed.
⚠️ Accurate but Incomplete
Correct information but missing key differentiators. Add more structured content to your site.
🔶 Inaccurate Claims
Wrong pricing, missing features, or incorrect capabilities. Fix your source pages immediately.
🚨 Competitor Displacement
AI recommends a competitor instead of you. Read our displacement reversal guide.
Related Resources
Skip the manual work. Get your AI perception audited automatically.
Perciva runs these 47 prompts (and more) across ChatGPT, Perplexity, Gemini, and Claude every week — with claim extraction, change alerts, and fix recommendations.
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