Local Market Visibility Expansion with +21 Points (PropTech)
Akii Modules Involved
🔍 Detection
🧠 Orchestration
⚡ Execution Support
📊 Monitoring
Overall AI Visibility
+21 (+42.9%)Overall AI Visibility
+21 (+42.9%)
Local Intent Prompt Share (DACH cluster)
+23 (+127.8%)
Perplexity Citations
+12 (+63.2%)
Monitored Prompts Ranked
+56 (+50.0%)
“We assumed our English content would carry over. The localization gap analysis showed us exactly where we were invisible in DACH markets.”
A European PropTech platform expanding into the DACH market identified near-zero AI visibility in German-language prompt clusters during initial baseline monitoring in November 2025. AI Search Tracker confirmed the localization visibility gap across all four major engines. Akii Intelligence translated the market expansion baseline into six prioritized actions spanning localized entity schema, city-level landing pages, multilingual FAQ markup, and citation activation. The client team rolled out the localization strategy over the engagement period with support from Website Optimizer, AI Content Engine, and Visibility Activation. Post-implementation monitoring confirmed visibility reached 70, a gain of 21 points from the initial baseline of 49 by February 2026.
Results Across AI Engines
% of monitored prompts where brand was cited
Recovery Journey
Visibility Recovery Over Time
DACH Baseline Established
Nov 20
Localization Gap Identified
Nov 25
Actions Generated
Nov 28
Implementation Started
Dec 10
Localized Schema Deployed
Jan 5
City Pages Live
Jan 20
Visibility Target Reached
Feb 20
The Challenge
Localization Gap
high- Threshold
- 15%
- Actual Delta
- -31%
- Event Date
- November 25, 2025
- Affected Engines
- ChatGPT, Google AI, Perplexity, Copilot
Starting Metrics
Overall AI Visibility
Local Intent Prompt Share (DACH cluster)
Perplexity Citations
Monitored Prompts Ranked
System Response
| Action | Impact | Urgency | Confidence | Effort | Priority |
|---|---|---|---|---|---|
| Deploy localized entity and org schema for DACH market | 8 | 8 | 7 | 4 | high |
| Sitemap and hreflang audit fixes | 4 | 7 | 7 | 3 | high |
| Add multilingual FAQ schema to core pages | 5 | 6 | 8 | 4 | medium |
| Launch location pages for top 12 cities | 7 | 7 | 7 | 6 | medium |
| Activate citations via Visibility Activation | 6 | 6 | 7 | 5 | medium |
| Publish 8 local comparison pages | 6 | 7 | 6 | 6 | medium |
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
- DACH market baseline monitoring revealed near-zero local intent prompt share, confirming that English-language content did not transfer visibility to German-language AI prompt clusters.
- Localized entity schema deployment preceded the steepest visibility gains, with improvements appearing during the early stages of post-deployment monitoring.
- Google AI showed the strongest response to localized content, likely due to its deeper integration with regional language models in the DACH market.
- City-level landing pages correlated with improved citation frequency in location-specific prompt clusters, particularly for comparison and alternatives queries.
- Post-implementation visibility reached 70, a gain of 21 points from baseline, with local intent prompt share rising from 18 to 41, indicating that the localization strategy likely addressed a structural content gap rather than a temporary decline.