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

Did this answer your question? Thanks for the feedback There was a problem submitting your feedback. Please try again later.