> ## Documentation Index
> Fetch the complete documentation index at: https://faii.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.
# How FAII Generates Smart Questions
> FAII's AIQ system generates natural, persona-driven questions that produce realistic brand recommendations - not robotic prompts that AI ignores.
**Quick Answer:** FAII's AIQ (AI Intelligence Questions) system creates questions that sound like real customers - not "Tell me about \[brand]" prompts. This produces authentic recommendation data, with mention rates 3-5x higher than generic questions.
## The Problem with Generic Questions
Most AI monitoring tools ask questions like:
| Generic Question | Typical Mention Rate |
| --------------------------------- | :------------------: |
| "What is SEO?" | 0-5% |
| "Tell me about digital marketing" | 2-8% |
| "Who does web design?" | 5-10% |
| "List some SEO companies" | 8-12% |
These produce useless data because:
* They're too broad for AI to give specific recommendations
* They don't match how real customers ask questions
* AI recognizes robotic patterns and gives generic answers
* No buying intent = no brand recommendations
## The AIQ Difference
FAII's intelligent questions sound like real customer queries:
| AIQ Question | Typical Mention Rate |
| ----------------------------------------------------------------------------------------------------------------------------------------------------- | :------------------: |
| "I'm looking for an SEO agency in Sydney that specializes in technical audits and can demonstrate clear ROI - who would you recommend?" | 15-25% |
| "My ecommerce store has grown 300% but organic traffic hasn't kept up. Which agencies have the best track record with fast-growing ecommerce brands?" | 12-20% |
| "We're a SaaS startup looking for a digital marketing partner that understands developer audiences. Who's known for this?" | 10-18% |
**3-5x more useful data from the same AI platforms.**
## How AIQ Works
Before generating questions, AIQ analyzes your brand:
* What's your value proposition?
* What market segments do you serve?
* What problems do you solve?
* What makes you different from competitors?
* What buying signals indicate your ideal customer?
This research ensures questions are relevant to your actual market.
AIQ creates buyer personas that reflect real customer types:
| Persona | Question Style | Example |
| ---------------- | ----------------------------------------- | --------------------------------------------------------- |
| Beginner | Seeking guidance, unsure of needs | "I'm new to SEO and don't know where to start..." |
| Expert | Specific requirements, technical language | "Looking for an agency with Core Web Vitals expertise..." |
| Budget-conscious | Price sensitivity, ROI focus | "What's the best value for money in..." |
| Enterprise | Scale, security, compliance | "We need a partner that handles enterprise-level..." |
| Skeptical | Wants proof, references | "Which agencies can actually demonstrate results..." |
Each question template gets natural variations:
* **Temporal context**: "for this quarter," "by end of year," "right now"
* **Emotional context**: "I'm frustrated with...," "excited to find...," "urgently need..."
* **Specificity**: Location, industry, company size, use case
* **Phrasing variation**: Different ways to ask the same thing
Questions are scrubbed of any obvious reference to your brand:
* ❌ "Is \[Your Brand] good at SEO?" (biased - AI knows you're asking about yourself)
* ✅ "Which SEO agencies in Sydney are known for technical expertise?" (natural, unbiased)
This produces authentic recommendations, not confirmations.
Each generated question is scored for:
* Natural language quality
* Buying intent level
* Specificity (targeted enough to get brand recommendations)
* Bias absence (no hints toward any specific brand)
* Uniqueness (not repetitive with other questions)
Only high-scoring questions are used.
## Question Categories
AIQ generates questions across multiple categories:
### Recommendation queries
> "Which \[service] would you recommend for \[specific need]?"
These directly ask for brand suggestions and produce the highest mention rates.
### Comparison queries
> "I'm trying to decide between \[approach A] and \[approach B] for my business..."
These reveal how AI positions different solutions and where your brand fits.
### Problem-solving queries
> "My \[specific problem]. What solutions or providers should I look at?"
These test whether AI recommends you when customers describe problems you solve.
### Research queries
> "What should I look for when choosing a \[service category]?"
These test whether AI mentions your brand as an example of best practices.
## Viewing Your Questions
Go to **Campaign > Settings > Questions** to see:
* All generated questions for your campaign
* Which persona generated each question
* Performance data (which questions produce mentions)
* The ability to regenerate or manually add questions
## How Many Questions Per Session
| Plan | Questions/Week | Across Platforms |
| ------------ | :------------: | :-----------------------------: |
| Starter | 100 | 400 total (4 platforms × 100) |
| Professional | 500 | 2,500 total (5 platforms × 500) |
| Enterprise | 1,000+ | 5,000+ total |
Each keyword generates multiple question variations across different personas.
## Tips
* **Let AIQ learn** - After 2-3 sessions, the system refines questions based on what produces useful data
* **Review question performance** - Some questions consistently produce mentions while others don't. Focus on patterns.
* **Add manual keywords** if you have specific queries you know customers ask
* **Don't worry about question wording** - AIQ handles the natural language; you just provide the keywords
AIQ is what makes FAII's data reliable. Without intelligent questions, AI monitoring is just asking robots to confirm what you already know. With AIQ, you're discovering how real customer conversations play out across platforms.
## Related Articles
Full technical overview
The keywords that drive question generation