Pricing Prompt Share Recovery with +24 Points in 9 Weeks (InsurTech)
Akii Modules Involved
🔍 Detection
🧠 Orchestration
⚡ Execution Support
📊 Monitoring
Overall AI Visibility
+24 (+54.5%)Overall AI Visibility
+24 (+54.5%)
Pricing Prompt Share (pricing cluster)
+25 (+119.0%)
Google AI Citations
+13 (+59.1%)
Monitored Prompts Ranked
+45 (+46.9%)
“Competitor Intelligence showed us the exact pricing prompts we were losing. That specificity changed how we prioritized content.”
A mid-market InsurTech platform identified a significant competitive pricing displacement through Competitor Intelligence monitoring in December 2025. The analysis revealed that competitors dominated pricing-related prompt clusters, with the client's pricing prompt share at 21% compared to the leading competitor's estimated presence. AI Search Tracker confirmed the cross-engine displacement pattern. Akii Intelligence translated the competitive gap analysis into five prioritized actions focused on pricing comparison content, differentiation schema, and competitor benchmarking. The client team implemented the recommended actions over the engagement period with support from Website Optimizer and AI Content Agent. By March 2026, monitoring confirmed visibility increased from 44 to 68, a gain of 24 points.
Results Across AI Engines
% of monitored prompts where brand was cited
Recovery Journey
Visibility Recovery Over Time
Competitive Benchmark Run
Dec 5
Pricing Gap Identified
Dec 12
Strategy Generated
Dec 16
Implementation Started
Dec 22
Pricing Hub Deployed
Jan 15
Comparison Content Live
Feb 5
Recovery Confirmed
Mar 10
The Challenge
Competitive Pricing Gap
high- Threshold
- 15%
- Actual Delta
- -23%
- Event Date
- December 12, 2025
- Affected Engines
- ChatGPT, Google AI, Perplexity
Starting Metrics
Overall AI Visibility
Pricing Prompt Share (pricing cluster)
Google AI Citations
Monitored Prompts Ranked
System Response
| Action | Impact | Urgency | Confidence | Effort | Priority |
|---|---|---|---|---|---|
| Build pricing comparison hub with structured schema | 9 | 9 | 8 | 4 | high |
| Add product differentiation FAQ schema | 6 | 7 | 8 | 3 | high |
| Publish 5 competitor comparison pages | 7 | 8 | 7 | 5 | high |
| Update crawl signals and sitemaps | 3 | 7 | 5 | 2 | medium |
| Publish benchmarking content with third-party data | 4 | 6 | 6 | 5 | low |
Metric Definitions
Overall AI Visibility: Composite index measuring brand presence across ChatGPT, Google AI, Perplexity, and Copilot. Calculated from mention frequency, citation depth, and response accuracy across monitored prompt clusters.
Brand Accuracy Score (0–100): Percentage of monitored AI responses containing materially accurate product descriptions based on current official specifications.
Monitored Prompts Ranked: Number of monitored prompt clusters where the brand appears in at least one AI engine response.
Competitive Position Index: Relative visibility indexed against tracked competitors across monitored prompts. Values above 100 indicate outperformance of the competitive set average.
Change / Delta: Difference between baseline and post-implementation values.
Monitoring Cycle: The interval at which AI engine responses are sampled and scored.
Action Priority Formula
Actions are scored using the formula: Priority = (Impact × Confidence × Urgency) / Effort
Each factor is scored 1-10. Higher priority scores indicate actions that are more impactful, urgent, and confident with lower effort requirements.
Key Takeaways
- Competitor Intelligence revealed significant pricing prompt displacement, with the client's pricing prompt share (% of prompts in the pricing cluster where brand appears) at 21% at baseline.
- Pricing comparison hub deployment preceded the steepest recovery phase, with improvements appearing shortly after structured data updates were applied.
- ChatGPT and Google AI showed the strongest response to pricing-focused content, though the mechanism behind this engine-specific pattern is not yet well understood.
- Third-party benchmarking content showed increased citation presence relative to self-reported pricing pages, reinforcing the value of independent data in AI engine responses.
- Post-recovery visibility reached 68, a gain of 24 points from baseline, with pricing prompt share rising from 21 to 46, indicating that the competitive content strategy likely addressed a structural gap in pricing-related prompt coverage.