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Analyze Your Brand Health

The Analyze page provides detailed insights into your brand’s performance across AI platforms, with metric-specific breakdowns, trend analysis, and actionable recommendations.

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What You Can Do

Track 4 Core Metrics

Monitor Visibility, Authority, Sentiment, and Purchase Intent scores

View Detailed Breakdowns

See sub-metric components and how scores are calculated

Analyze Trends

Track performance changes over 7 days to 1 year

Get Insights

AI-generated recommendations specific to each metric
Brand health summary with overall score of 75 and individual metrics: Visibility (80), Authority (65), Sentiment (85), Purchase Intent (70)
30-day performance trends showing all four brand health metrics over time with legend

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Page Layout

The Analyze page displays in this order:

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1. Period Filter

Select timeframe for all data on the page:
  • 7 Days - Short-term changes
  • 30 Days - Monthly trends (default)
  • 90 Days - Quarterly patterns
  • 180 Days - Half-year view
  • 1 Year - Annual trends

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2. Brand Health Summary Card

Executive summary showing all scores at once: Layout:
  • Overall Score (large radial chart, cyan color)
  • 4 Metric Scores (smaller radial charts, navy blue)
    • Visibility
    • Authority
    • Sentiment
    • Purchase Intent
Each metric shows:
  • Current score (0-100)
  • Trend indicator (up/down/neutral arrow)
  • Info icon with metric description tooltip
Responsive: Stacks on mobile, 2 columns on tablet, 5 columns on desktop

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3. Metric Tabs Navigation

Sticky tab bar for switching between metrics: Clicking a tab updates everything below:
  • Trend charts
  • Score breakdown
  • Insights panel

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4. Two Side-by-Side Charts

Left Chart: Metric Trend Chart
  • Shows selected metric’s score over time
  • Period-dependent data points
  • Interactive tooltips
Right Chart: Subcomponent Trend Chart
  • Shows the sub-metrics that make up the overall score
  • Multiple lines for different components
  • Same time period as left chart

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5. Expandable Score Breakdown

Shows how the score is calculated from sub-metrics: Features:
  • Click to expand/collapse
  • Lists all sub-metrics with scores
  • Shows weighted contributions
  • Explains calculation method

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6. Metric Insights Card

AI-generated recommendations specific to the selected metric: Insight categories:
  • Quick Wins
  • Strategic Priorities
  • Competitive Alerts
  • Maintenance Tasks

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The Four Core Metrics

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1. Visibility

What it measures: How often your brand appears in AI-generated responses Data source: System prompts created during onboarding (~25 prompts) Sub-metrics:
  • Mention frequency
  • Position in responses (first, top 3, average)
  • Template coverage (% of prompt types where you appear)
  • Consistency across AI models
  • Share of voice (your mentions vs total)
Good score: 70+ Needs work: Below 50
1

Create Comprehensive Content

Publish authoritative content covering key topics in your category
2

Get High-Quality Backlinks

Earn citations from sources AI models trust (Wikipedia, major publications, industry sites)
3

Optimize Website Structure

Ensure your site is well-organized with clear navigation and proper schema markup
4

Build Category Authority

Establish thought leadership through guest posts, speaking engagements, and industry contributions

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2. Authority

What it measures: Recognition as a category leader or trusted expert Data source: System prompts analyzing expertise and trust signals Sub-metrics:
  • Source quality (tier of sites citing you)
  • Expertise recognition (how often AI calls you an expert)
  • Citation context (authoritative vs. passing mention)
  • Category leadership positioning
Good score: 65+ Needs work: Below 45
1

Build High-Authority Backlinks

Get cited by Wikipedia, major publications, and industry-leading sites
2

Publish Original Research

Create data-driven reports and studies that others cite
3

Earn Industry Recognition

Apply for awards, get analyst coverage (Gartner, Forrester)
4

Contribute Expert Content

Write for authoritative publications, speak at conferences

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3. Sentiment

What it measures: How positively or negatively AI models discuss your brand Data source: Sentiment analysis of all brand mentions in system prompt responses Scale:
  • 70-100: Positive sentiment (praise, recommendations)
  • 40-69: Neutral/Mixed sentiment (factual mentions)
  • 0-39: Negative sentiment (criticism, warnings)
Good score: 65+ Needs work: Below 50 or trending downward
1

Address Root Causes

Fix actual product/service issues driving negative feedback
2

Gather Positive Reviews

Encourage satisfied customers to leave reviews on trusted platforms
3

Publish Success Stories

Create case studies and customer testimonials
4

Manage Reputation

Respond professionally to criticism and demonstrate continuous improvement

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4. Purchase Intent

What it measures: Whether AI models recommend your brand for purchase decisions Data source: Analysis of recommendation strength in system prompt responses Sub-metrics:
  • Recommendation strength (how strongly AI suggests you)
  • Purchase language (presence of “should buy”, “best for”, “recommended”)
  • Comparison positioning (where you rank vs competitors)
  • Use case matching (alignment with user needs)
Good score: 60+ Needs work: Below 40
1

Optimize Product Information

Ensure complete, accurate product details on your website
2

Gather Reviews & Ratings

Accumulate positive reviews on G2, Capterra, Trustpilot, Amazon, etc.
3

Clarify Use Cases

Create content explicitly matching products to specific user needs
4

Show Social Proof

Display customer counts, success metrics, testimonials

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Using the Charts

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Metric Trend Chart (Left)

Shows your selected metric’s score over time. What you’ll see:
  • Line chart with data points
  • X-axis: Time (dates)
  • Y-axis: Score (0-100)
  • Hover tooltips with exact values
Use cases:
  • Identify upward or downward trends
  • Spot sudden changes
  • Correlate score changes with your marketing activities

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Subcomponent Trend Chart (Right)

Shows the individual sub-metrics that combine to create the overall score. What you’ll see:
  • Multiple lines (one per sub-metric)
  • Same time period as left chart
  • Different colored lines for each component
  • Legend showing which line is which
Use cases:
  • Understand what’s driving overall score changes
  • Identify which sub-metric needs attention
  • See if improvements in one area are offset by declines in another
If your overall score is flat but you see diverging sub-metric lines, it means improvements in some areas are being offset by declines in others. Focus on the declining components.

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Score Breakdown

Click to expand the breakdown and see exactly how your score is calculated. What you’ll see:
  • List of all sub-metrics
  • Each sub-metric’s individual score
  • Weight percentage (how much it contributes)
  • Weighted contribution to final score
  • Description of what each sub-metric measures
Example for Visibility:
  • Mention Frequency: 85 × 30% weight = 25.5 points
  • Position Quality: 72 × 25% weight = 18.0 points
  • Template Coverage: 68 × 20% weight = 13.6 points
  • Consistency: 90 × 15% weight = 13.5 points
  • Share of Voice: 55 × 10% weight = 5.5 points
Total Visibility Score: 76.1 / 100
Focus optimization efforts on high-weight components for maximum impact. A 10-point improvement in a 30% weighted component adds 3 points to your overall score, while the same improvement in a 10% weighted component only adds 1 point.

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Insights Panel

AI-generated recommendations tailored to the selected metric. Insight types:

Quick Wins

High-impact, low-effort improvements you can implement quickly

Strategic Priorities

Longer-term initiatives that address fundamental gaps

Competitive Alerts

Where competitors are outperforming you

Maintenance Tasks

Routine actions to maintain performance
Example insights:
  • “Your visibility score dropped 8% this month - competitor X launched a major content campaign”
  • “Authority sub-metric ‘source quality’ is 15 points below your other components - focus on earning backlinks from tier-1 sources”
  • “Sentiment improved 12% after you addressed customer service issues - maintain this momentum”

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Period Selection Strategy

Different periods serve different purposes:
Best for:
  • Tracking immediate impact of changes
  • Monitoring A/B experiment results
  • Validating short-term campaigns
Warning: High volatility - don’t overreact to daily fluctuations
What it means: Your efforts are workingActions:
  1. Document what changed to cause the improvement
  2. Double down on successful strategies
  3. Share wins with stakeholders
  4. Plan next phase of optimization
What it means: Performance is decliningPossible causes:
  • Competitor improvements
  • Negative PR or reviews
  • AI model updates (training data changes)
  • Content becoming stale
  • Website issues affecting crawlability
Actions:
  1. Check competitor activity (did they launch new content?)
  2. Review recent news/reviews about your brand
  3. Check AI model changelog for updates
  4. Refresh stale content
  5. Investigate in Insights panel
What it means: Performance is stable but stagnantActions:
  1. Test new optimization strategies
  2. Run A/B experiments
  3. Expand prompt coverage
  4. Consider more aggressive tactics
  5. Analyze competitors’ tactics
What it means: Inconsistent performance, high variancePossible causes:
  • Small sample size (not enough prompts)
  • Recent AI model changes
  • Seasonal effects
  • Insufficient data points
Actions:
  1. Add more prompts to increase sample size
  2. Use longer time periods (30+ days) to smooth volatility
  3. Focus on sub-metrics with more stable patterns

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Data Source

Important: The Analyze page shows metrics calculated from system-generated prompts (~25 prompts created during onboarding Phase 4).These prompts cover standard brand health queries and are different from the user-created prompts you see on the Visibility page.Why separate?
  • System prompts provide consistent, standardized brand health measurement
  • User prompts track custom queries you specifically care about
  • Both are valuable but serve different purposes

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Best Practices

Frequency: Check Analyze page once per weekWhat to do:
  • Review overall brand health score
  • Scan for significant trend changes (>10% movement)
  • Read new insights in the panel
  • Note any competitive alerts
Time required: 5-10 minutes
Frequency: Monthly detailed analysisWhat to do:
  • Review each metric’s detailed breakdown
  • Compare 30-day vs 90-day trends
  • Identify patterns and correlations
  • Plan optimization initiatives based on insights
Time required: 30-45 minutes
Frequency: Quarterly business reviewWhat to do:
  • Analyze 90-day and 180-day trends
  • Benchmark against competitors
  • Assess ROI of AEO initiatives
  • Set strategic goals for next quarter
Time required: 1-2 hours
Why: Diluting efforts across all 4 metrics reduces impactStrategy:
  1. Pick your priority metric based on business goals
  2. Run a focused 30-day improvement campaign
  3. Measure results
  4. Move to next priority metric
Example: E-commerce brand focuses on Purchase Intent first, then Sentiment
Short-term (1-3 months): 5-10 point improvements Medium-term (3-6 months): 15-20 point improvements Long-term (6-12 months): 25+ point improvementsNote: Diminishing returns apply - moving from 40 to 60 is easier than 80 to 90

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Metric Priority by Business Type

Not all metrics matter equally for every brand:
Priority Order:
  1. Purchase Intent (drives conversions)
  2. Sentiment (affects buying decisions)
  3. Visibility (top-of-funnel awareness)
  4. Authority (trust factor)
Focus: Conversion optimization

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Troubleshooting

Cause: Analysis not yet complete for this brandSolution: Wait 2-5 minutes after completing onboarding. System prompts are analyzed automatically in the background.
Cause: Limited data points or unusual sampleCheck:
  • Are system prompts being analyzed regularly?
  • Is your brand name spelled correctly in brand settings?
  • Are competitors set up correctly?
Solution: Contact support if scores seem incorrect after verifying setup
Cause: UI refresh issueSolution: Refresh the page. If issue persists, clear browser cache.
Cause: Not enough data or no actionable patterns detectedSolution: This is normal - insights only appear when AI identifies specific, actionable recommendations

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Next Steps

View Dashboard

See high-level brand health summary

Create Custom Prompts

Add prompts to track specific queries

Run Experiments

A/B test optimization strategies

Commerce Tracking

Track purchase intent and e-commerce performance