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Quick Answer: FAII sends natural, customer-like questions to all major AI platforms, captures their responses, and analyzes whether (and how) your brand is mentioned - including position, sentiment, and competitive context.

What You’ll Learn

  • How FAII generates and sends questions to AI platforms
  • Which platforms are monitored and why
  • How brand mentions are detected and scored
  • What makes FAII’s approach more accurate than manual checking

The Process

1

Question generation

FAII creates natural, persona-driven questions about your industry. These aren’t robotic prompts - they’re the kind of questions real customers ask when looking for recommendations.Example: Instead of asking “Tell me about Acme Digital,” FAII asks questions like:
“I need a reliable SEO agency in Sydney that specializes in technical audits and can demonstrate clear ROI. Who would you recommend?”
This produces more realistic responses that reflect how customers actually discover brands through AI.
2

Platform querying

Questions are sent to all 5 monitored AI platforms simultaneously. Each query uses:
  • A clean session (no memory from previous questions)
  • Natural language (not formatted like API calls)
  • Multiple personas (beginner, expert, budget-conscious, skeptical)
  • 150 parallel workers for speed
3

Response capture

Every response is captured in full, preserving:
  • The complete text of the AI’s answer
  • The order in which brands are mentioned
  • Any citations or source links provided
  • The context surrounding each mention
4

Brand detection

FAII scans each response for your brand using multi-layer detection:
  • Exact match - Your primary brand name
  • Fuzzy match - Common misspellings and variations
  • URL detection - Your domain mentioned as a source
  • Variation match - Custom patterns you’ve defined
The same detection runs for all tracked competitors.
5

Analysis

Each mention is scored on:
  • Position - Were you 1st, 2nd, 3rd recommendation?
  • Sentiment - Was the mention positive, neutral, or negative?
  • Context - Were you the featured solution or an afterthought?
  • Strength - “Highly recommend” vs. “you could consider”
6

Aggregation

Results are combined into actionable metrics on your dashboard - mention rates, position averages, sentiment trends, and platform comparisons.

Platforms Monitored

PlatformWhy It Matters
ChatGPT (GPT-5)Largest user base - 100M+ weekly active users asking for recommendations
Claude (Claude 3.5 Sonnet)Trusted for professional and business recommendations
Perplexity (Sonar)AI-first search engine with citations - growing rapidly
Grok (Grok-3)Integrated with X/Twitter, uses real-time social signals
Gemini (Gemini 2.5)Deep Google integration, influences AI Overviews
Different platforms have different strengths. A brand might dominate on ChatGPT but be invisible on Perplexity. FAII shows you the complete picture so you know where to focus.

Why Intelligent Questions Matter

The quality of questions determines the quality of insights. Here’s why FAII’s approach matters:

Generic questions produce useless data

Generic QuestionTypical Mention Rate
”What is SEO?“0-5%
“Tell me about digital marketing”2-8%
“Who does web design?“5-10%
These broad questions rarely produce brand recommendations because they’re too vague for AI to give specific answers.

FAII’s intelligent questions produce real insights

Intelligent QuestionTypical Mention Rate
”I’m looking for an SEO agency in Sydney that specializes in technical audits and can demonstrate clear ROI - which agencies have the best reputation?“15-25%
“My ecommerce store needs help with page speed and conversion optimization. Which agencies are known for measurable results?“12-20%

How FAII generates smart questions

  1. Research Pack - Analyzes your brand’s value proposition, market position, and unique differentiators
  2. Persona creation - Builds question templates from different buyer perspectives (beginner, expert, budget-conscious, enterprise)
  3. Natural variation - Adds temporal context (“this quarter”), emotional context (“I’m frustrated with…”), and specificity
  4. Brand-hint removal - Strips any obvious references to your brand so AI responds naturally
The result: questions that reflect real customer behavior, producing data you can actually act on.

Key Metrics Explained

Mention Rate

The percentage of questions where your brand appears in the AI response. Example: If you track 100 keywords and your brand is mentioned for 23 of them, your mention rate is 23%.

Position

Where your brand appears in the AI’s response:
PositionWhat It MeansImpact
1stPrimary recommendationHigh
2ndStrong alternativeMedium
3rdMentioned optionLow
4th+Listed but not highlightedMinimal
Research shows users remember the first 2-3 recommendations from AI responses. Being 5th in a list of 10 is barely better than not being mentioned at all.

Sentiment

How positively the AI describes your brand:
  • Strong positive (+70 to +100): “highly recommend,” “excellent choice,” “industry leader”
  • Positive (+30 to +69): “good option,” “worth considering,” “solid reputation”
  • Neutral (-29 to +29): Mentioned without strong opinion
  • Negative (-30 to -69): “has some limitations,” “you may want to research more”
  • Strong negative (-70 to -100): “avoid,” “not recommended,” “significant issues”

Platform Coverage

How many of the 5 monitored platforms mention your brand. Full coverage (5/5) means you’re visible regardless of which AI tool a customer uses.

What You’ll See on the Dashboard

After each monitoring session, the Chat Intelligence dashboard shows:
  • Platform performance cards - Mention rate per platform at a glance
  • Keyword heatmap - Which keywords produce mentions on which platforms
  • Sentiment distribution - Positive/neutral/negative breakdown
  • Position visualization - Average position across all mentions
  • Response analysis table - Full text of every response mentioning your brand
  • Trend charts - How metrics change over time

FAQ

This depends on your keyword count and plan. Each keyword generates multiple question variations across different personas. For 25 keywords, expect approximately 100 total questions sent to each platform (500 total queries across all 5 platforms).
FAII uses natural language queries through standard API channels. Questions are designed to be indistinguishable from real user questions - because they’re modeled on actual customer behavior.
Weekly monitoring catches meaningful changes without noise. Daily runs are available for time-sensitive campaigns (product launches, PR events). Monthly is fine for established brands with stable visibility.
AI platforms don’t always give identical responses to the same question. Temperature settings, model updates, and training data refreshes all cause natural variation. This is why trend analysis (across multiple sessions) matters more than single-session results.
A zero mention rate means AI platforms don’t currently associate your brand with your target keywords. This is common for newer or smaller brands. The gap analysis feature shows you exactly which keywords to target with content to improve visibility.

AI Authority Rank

See how Chat Intelligence feeds into your master score

Quick Start Guide

Set up your first monitoring campaign