Worst Performing AI Conversations
Worst Performing Conversations identifies questions where your brand has the lowest visibility across AI platforms. These represent gaps in your AI presence—topics where competitors dominate or where AI platforms don't associate your brand with the conversation.
Quick start
1. Select 30 Days and the target Project
2. Review the bottom 10 conversations ranked by lowest visibility
3. Look for patterns—certain topics, phases, or platforms
4. Use Provider Position to adjust the visibility threshold
Understanding the display
Each row represents a conversation (question) where your brand has low or no visibility. The display highlights gaps—showing where AI platforms aren't mentioning your brand when they should be.

Row structure
| Element | Description |
| Conversation text | The question or prompt where your brand is underperforming |
| Platform tag | Primary AI platform for this conversation |
| Persona tag | The buyer persona/configuration used for this query |
| Phase tag | Customer journey phase (Awareness, Consideration, Decision) |
| Avg visibility tag | Average visibility percentage across all platforms for this conversation |
| Platform bars | Visibility percentage per platform with horizontal progress bars |
| Loser highlight | The platform with lowest visibility is highlighted in red |
Low visibility explained
Low visibility percentages indicate gaps in your AI presence. A 10% visibility means your brand appeared in only 1 out of 10 AI responses to this question. A 0% visibility means your brand never appeared.
These gaps represent opportunities—topics where content improvements or better positioning could increase brand presence.
Loser highlighting
For each conversation, the platform with the lowest visibility is highlighted in red. This quickly identifies which platform is the weakest for that specific topic.
What should I do next?
Worst performing conversations reveal content and positioning gaps:
| Pattern | Action |
| 0% visibility across platforms | AI doesn't associate your brand with this topic. Create targeted content. |
| Low on one platform, fine on others | That platform may not have indexed your relevant content. Investigate. |
| Decision-phase conversations dominate | Critical gap—you're losing at purchase intent. Prioritise bottom-funnel content. |
| Same topic appears repeatedly | This is a consistent weakness. Make it a content priority. |
| Competitor-heavy topics | Review what competitors are doing differently for these questions. |
| Technical questions underperform | May need more detailed technical content or documentation. |
Using the filters
Provider Position
Filter conversations by where your brand appeared (or didn't appear) in AI responses:
| Option | Shows conversations where |
| #1 Recommendation (default) | Your brand wasn't the top recommendation |
| Top 3 Recommendations | Your brand wasn't in the top 3 |
| Mentioned Anywhere | Your brand had low/no mention at all |
The default "#1 Recommendation" shows conversations where your brand failed to win the top spot—your biggest competitive gaps.
Date range
Select the time period for conversation data:
| Option | Best for |
| Yesterday | Latest underperforming conversations |
| 7 Days | Recent gap patterns |
| 30 Days | Trend analysis (default) |
| 90 Days | Quarterly gap review |
| 180 Days | Long-term weakness identification |
Platform
Filter to conversations from a specific AI platform. This reveals platform-specific weaknesses—topics where a particular AI system doesn't favour your brand.
Phase filter
Focus on a single customer journey phase to identify stage-specific gaps:
| Phase | Gap implications |
| Awareness | Brand not known for this topic area |
| Consideration | Brand known but not considered a strong option |
| Decision | Brand not recommended at purchase time—highest priority gap |
Reading the results
Ranking logic
Conversations are ranked by average visibility (lowest first), then by minimum visibility. The worst performing conversations appear at the top—these represent your biggest opportunities.
The bottom 10
The table shows the 10 conversations with the lowest brand visibility. These represent your weakest performing topics and questions. Understanding why these conversations underperform helps prioritise content strategy.
Troubleshooting
No conversations found
The "No Conversations Found" message means no visibility data matches the current filters.
• Expand the date range to capture more data
• Change Provider Position to "Mentioned Anywhere"
• Select "All" for platform and phase filters
• Verify brands are configured in AI Visibility Settings
All conversations show 0% visibility
If all conversations show 0% visibility:
• Verify brands are correctly configured
• Check that brand names match how AI platforms refer to your company
• Try a broader date range
• Check Top Conversations to verify data exists
FAQ
What determines the bottom 10 ranking?
Conversations are ranked by average visibility (lowest first), then by minimum platform visibility. The worst performing conversations appear at the top.
Why focus on worst performing conversations?
Worst performers reveal gaps where competitors dominate. Improving these conversations can yield significant gains—moving from 0% to 30% visibility is often easier than moving from 70% to 80%.
How often does data update?
Data updates daily. Exact timing depends on account configuration.
What's the difference between this and Top Conversations?
Top Conversations shows where your brand excels—your strengths. Worst Performing Conversations shows where your brand struggles—your opportunities. Together they provide a complete picture.
Should I prioritise Decision-phase gaps?
Generally yes. Decision-phase conversations directly influence purchases. Low visibility at this stage means losing customers to competitors at the moment of choice.
Can I track improvement over time?
Compare different date ranges to see if specific conversations are improving. A conversation that was in the bottom 10 last month but isn't this month indicates successful content improvement.
Getting help
Contact support for data issues or unexpected patterns