How to Use AI Analytics Insights

Get AI-powered recommendations to improve your knowledge base. AI Analytics Insights analyses your content performance and provides actionable recommendations for content gaps, search optimisation, and user engagement.

What Are AI Analytics Insights?

AI Analytics Insights uses artificial intelligence to analyse your knowledge base performance and provide:

• Content gap analysis: Topics users search for but can't find
• Search insights: Understanding what users are looking for
• Improvement opportunities: Specific recommendations to enhance your content
• Priority rankings: What to focus on first

Plan Availability

AI Analytics Insights are available on:

• Starter Plan: 1 lifetime analysis
• Professional Plan: 1 analysis per month
• Enterprise Plan: Unlimited analyses

Free plans don't include AI Analytics Insights.

Generating an Analysis

Step 1: Access Analytics

1. Go to your knowledge base dashboard
2. Click "Analytics" in the navigation
3. Find the "AI Analytics Insights" section

Step 2: Select Date Range

1. Choose a date range to analyse
2. Recommended: Last 30 days for recent insights
3. Longer ranges provide more comprehensive analysis

Step 3: Generate Analysis

1. Click "Generate AI Analysis"
2. Wait for processing (usually 1-2 minutes)
3. Review the generated insights

Understanding the Results

Content Gaps

Identifies topics users search for but can't find:

• Topic: What users are searching for
• Priority: High, medium, or low priority
• Reason: Why this is a gap (e.g., "15 failed searches")
• Suggested title: Recommended article title
• Suggested category: Where to place the article

Search Insights

Analyses search patterns and behaviour:

• Common themes: What users are looking for
• Query patterns: How users search
• Intent detection: What users really want
• Recommendations: How to improve search experience

Improvement Opportunities

Specific recommendations to enhance your content:

• Area: What to improve (e.g., "Popular Articles", "Search Experience")
• Issue: What's the problem
• Recommendation: How to fix it
• Priority: How important this is

Summary

Overall findings and top priorities:

• Key findings: Main insights from the analysis
• Top 3 priorities: Most important actions to take
• Expected impact: Potential improvements

Using the Insights

Creating New Content

1. Review Content Gaps section
2. Prioritise high-priority gaps
3. Create articles for missing topics
4. Use suggested titles and categories

Improving Existing Content

1. Check Improvement Opportunities
2. Focus on high-priority items
3. Update articles based on recommendations
4. Monitor improvements in analytics

Optimising Search

1. Review Search Insights
2. Understand user search patterns
3. Add content for common searches
4. Improve article titles and keywords

Best Practices

Regular Analysis

• Professional users: Run analysis monthly
• Starter users: Use your lifetime analysis strategically
• Enterprise users: Run analyses as needed
• After major changes: Analyse after adding lots of content

Acting on Insights

• Prioritise high-priority items: Focus on what matters most
• Create content for gaps: Address missing topics
• Improve popular content: Enhance high-traffic articles
• Track results: Monitor improvements after changes

Maximising Value

• Use longer date ranges: More data = better insights
• Review all sections: Don't just focus on one area
• Combine with manual review: Use AI insights + your judgement
• Iterate: Run new analyses after implementing changes

Limits and Usage

Starter Plan

• 1 lifetime analysis: Use it strategically
• Best time: After you have some content and traffic
• Make it count: Use insights to plan content strategy

Professional Plan

• 1 analysis per month: Regular insights
• Reset date: Resets on your billing date
• Best practice: Run analysis monthly for ongoing optimisation

Enterprise Plan

• Unlimited analyses: Run as often as needed
• No restrictions: Analyse anytime
• Flexible usage: Use for different date ranges and purposes

Troubleshooting

Analysis Takes Too Long

• Large date ranges take longer
• Try a shorter date range
• Check your knowledge base has enough data
• Contact support if consistently slow

No Insights Generated

• Ensure you have enough traffic/data
• Try a longer date range
• Check you have articles published
• Verify your plan includes AI Analytics

Insights Don't Seem Relevant

• Review the date range used
• Check if you have enough data
• Try a different time period
• Some insights may require judgement