The UltraScout AI Acquisition Intelligence Platform helps brands win before the click. But don't just take our word for it. This showcase walks you through real client examples—with actual platform screenshots, anonymized data, and measurable results. See exactly how we turn AI visibility into customer acquisition.
The Platform at a Glance
Built by data scientists for the agentic era. The UltraScout AI Acquisition Intelligence Platform tracks your brand across ChatGPT, Gemini, Claude, Perplexity, and Copilot—then turns insights into action.
Multi-Platform Tracking
Monitor presence across 5+ leading AI platforms simultaneously
Intent-Weighted Influence
AI Influence Score™ weights buying queries 5x more than research
Citation Authority Analysis
Track how often your content is linked vs just mentioned
Competitive Matchups
See head-to-head results when users ask 'Brand X vs Brand Y'
Narrative Intelligence
Decode which attributes AI associates with your brand
Topic Gap Analysis
Identify exactly where you're invisible to AI
Technical AEO Audit
Score your site's readiness for AI extraction
Prescriptive Recommendations
Not just data—actionable roadmap to improve influence
Leading UK Bakery Brand
How a confidential DTC food brand increased AI-driven revenue by 32%
Industry: Food & Beverage / DTC
Client Context: A well-established UK bakery brand with strong offline presence but limited visibility in AI platforms. Despite quality products and loyal customers, they were losing ground to competitors when consumers used AI assistants to research and compare options.
Challenge: The brand faced three critical issues: low overall visibility in AI responses (approximately 15% Share of Voice), zero visibility on key seasonal queries (Mother's Day, Easter, custom cakes), and losing head-to-head comparisons against a key competitor.
Step 1: Platform Configuration
The client was set up in the Analysis Console with the following configuration:
- Company: Leading UK Bakery Brand
- Geographic Area: UK
- Services: Speciality baked goods, celebration cakes, corporate orders
- Target Queries: best birthday cakes UK, healthy bakery near me, custom cakes London, vegan cupcakes delivery, gluten-free bakery UK
- Competitors Tracked: Competitor A, Competitor B, Competitor C
- Platforms: ChatGPT, Gemini, Perplexity, Claude
- Queries Per Category: 5 | Geographic Focus: United Kingdom
Step 2: Analysis Execution
The platform ran 69 industry-relevant queries across multiple AI platforms. The Analysis Console showed real-time progress:
- Analysis ID: 360_05c3181a5e42
- Run Date: Q1 2026 | Status: Completed
- Progress: 100% | Platforms: Gemini (primary), with multi-platform validation
Step 3: The Dashboard
The Company Dashboard revealed the full picture of AI visibility and influence:
User Journey Performance
Step 4: What the Platform Found
The platform surfaced several critical insights that explained the brand's AI visibility challenges:
🔴 Seasonal Blind Spots Critical
0% visibility on Mother's Day, Easter, and custom cake queries—major revenue opportunities completely missed.
🟠 Competitive Vulnerability High
When users asked 'Brand X vs Brand Y' comparisons, the brand lost 1 out of 5 direct matchups against Competitor A.
🟠 Topic Gaps High
Zero visibility on sugar-free cakes, vegan cupcakes, and corporate bulk orders—all high-value categories.
🟡 Citation Deficit Medium
Competitor A had 18 citations vs the brand's 4. AI trusts their content more.
🟡 Sentiment Issues Medium
AI occasionally associated the brand with 'limited availability' and 'niche appeal'—constraining recommendations.
Topic × Intent Visibility Matrix
The brand performed best on comparison queries (35%) but had zero coverage on Mother's Day and custom cakes—critical seasonal opportunities.
Head-to-Head Results
The brand wins against most competitors but loses the most important matchup: against Competitor A, who is recommended more often when users directly compare the two.
Who Owns the Links AI Uses
Competitor A and third-party sites (YouTube, BBC Good Food, Trustpilot) dominate citations. The brand's content is rarely linked, limiting authority signals.
Step 5: Prescriptive Recommendations
The platform generated specific, actionable recommendations:
Critical — Seasonal Content Hub
Create Mother's Day content hub with UK-specific angles (Mother's Day in the UK falls in March, different from US)
Projected lift: +28% visibility on seasonal queries
High — Competitive Content
Develop comparison content directly addressing Competitor A's strengths
Projected lift: Improve win rate from 4/5 to 5/5
High — Citation-Worthy Resources
Build citation-worthy resources: original research on UK baking trends, NHS-aligned nutritional guides
Projected lift: Double citation count within 6 months
Medium — Entity Authority
Enhance entity authority through consistent schema markup and Wikipedia/Wikidata presence
Projected lift: Improve sentiment score by 2+ points
Medium — Topic Coverage
Create content for zero-coverage topics: sugar-free, vegan, corporate orders
Projected lift: 15–20% increase in topic coverage
Step 6: Strategy Execution
The brand implemented the platform's recommendations over 8 months:
Months 1–2
- Created Mother's Day content hub with 12 articles
- Developed comparison guide: 'How We Compare to Other UK Bakeries'
- Implemented comprehensive schema markup
Months 3–4
- Published original research: 'State of UK Healthy Baking 2026'
- Created NHS-aligned nutritional guides for common products
- Developed vegan and sugar-free content clusters
Months 5–6
- Launched corporate ordering content with case studies
- Built backlinks through PR around original research
- Optimized existing content for extractability
Months 7–8
- Continuous monitoring via UltraScout platform
- Iterative refinement based on platform insights
Step 7: Measurable Outcomes
After 8 months, the brand ran a new analysis through the platform. The results were dramatic:
| Metric | Before | After | Change |
|---|---|---|---|
| Share of Voice | 15.1% | 21.4% | +40% |
| AI Influence Score™ | 63/100 | 88/100 | +25 points |
| Citation Authority | 4 citations | 18 citations | +350% |
| Mother's Day Visibility | 0% | 28% | New category |
| Competitive Win Rate | 4/5 (80%) | 5/5 (100%) | Now wins all matchups |
| Buying Intent Visibility | 7.1% | 18% | +153% |
| Sentiment Score | 5.0/10 | 7.8/10 | +56% |
Business Impact
"The UltraScout platform didn't just show us where we were invisible—it showed us exactly what to do about it. The prescriptive recommendations and ROI tracking made this the easiest investment decision we've made."
— Marketing Director, Leading UK Bakery Brand (confidential)
More Success Stories
The platform delivers results across industries. Here are anonymized snapshots from other clients:
UK Fintech Challenger Bank (Financial Services)
Challenge: Low visibility for 'best budgeting app' and 'digital bank account' queries
Platform Use: Configured with money prompts (see configuration screenshot)
Timeframe: 6 months
UK Energy Provider (Energy & Utilities)
Challenge: Lost visibility when users asked about green energy options
Platform Use: 5 runs over 6 months (see dashboard)
Timeframe: 6 months
UK Rail Operator (Transportation)
Challenge: Inconsistent visibility across different journey types
Platform Use: 6 runs with regional focus
Timeframe: 8 months
UK Retailer (Retail)
Challenge: Lost ground to online-only competitors in AI responses
Platform Use: 6 runs tracking multiple categories
Timeframe: 7 months
How the Platform Works
Behind every case study is the same powerful platform. Here's how it works:
Step 1: Configure Your Analysis
Enter your website, competitors, target queries, and geographic focus. Choose platforms and analysis depth.
Step 2: Platform Runs Analysis
Our system queries selected AI platforms with your target queries, tracking mentions, citations, sentiment, and recommendations.
Step 3: Review Dashboard
Access comprehensive results: Share of Voice, intent breakdown, competitive matchups, topic gaps, and more.
Step 4: Explore Deep Insights
Dive into topic matrices, knowledge graphs, citation analysis, and sentiment trends.
Step 5: Get Prescriptive Recommendations
Receive an actionable roadmap with projected lift for each recommendation.
Step 6: Download Reports
Export findings in PDF, HTML, DOCX, or JSON format for sharing and integration.
Report Options
The platform offers multiple report types for different needs:
| Type | Contents | Bestfor |
|---|---|---|
| Free | v5 SME preview, sections locked | Initial interest, quick overview |
| Free Enterprise | v6 4-page executive briefing | Board-level stakeholders |
| One-Time | v5 full report, all unlocked | Deep-dive analysis |
| Subscription | Full access + history | Ongoing monitoring |
| Enterprise | Full + KGI, Citation, Matrix | Enterprise programs |
Download formats: PDF, HTML, DOCX, JSON
Key Metrics Decoded
The platform measures what matters. Here's how to interpret each metric:
AI Influence Score™
Formula: Σ(Rec freq × Intent wt) + (Citation auth × Trust wt)
Our proprietary score combining recommendation frequency, intent weight, citation authority, and trust signals. The only metric that predicts acquisition probability.
Example: Leading UK Bakery Brand: 63 → 88
Share of Voice
Example: Leading UK Bakery Brand: 15.1% → 21.4%
Intent Weighting
Example: Buying visibility: 7.1% → 18% (+153% weighted impact)
Citation Authority
Example: Leading UK Bakery Brand: 4 → 18 citations
Sentiment Score
Example: Leading UK Bakery Brand: 5.0 → 7.8
Win Rate
Example: Leading UK Bakery Brand: 80% → 100%
Topic Coverage
Example: Mother's Day: 0% → 28%
Confidence Score
Example: UK Rail Operator: 45% → 89%
What Makes UltraScout Different
Built by Data Scientists
Founded by Yuliya Halavachova, Principal Data Scientist with 16+ years building enterprise AI solutions. Not an SEO agency rebranding—built from first principles for the agentic era.
Multi-Platform Native
Tracks across ChatGPT, Gemini, Claude, Perplexity, and Copilot simultaneously. See the full picture, not just one platform.
Intent-Weighted
Buying queries matter 5x more than research. Our AI Influence Score™ reflects true acquisition probability, not vanity metrics.
Prescriptive, Not Just Descriptive
We don't just show you the problem. We give you an actionable roadmap with projected lift for each recommendation.
UK-First Data
Built for the UK market with UK English, regional filtering, NHS data integration, and local compliance awareness.
Enterprise Ready
Full API access, white-label reporting, KGI tracking, and custom enterprise configurations.
Frequently Asked Questions
Are these real client results?
Yes. All metrics are from actual platform runs. Client names are anonymized to protect confidentiality, but the data is real and verified. Contact us for industry-specific benchmarks.
How long does it take to see results like these?
The Leading UK Bakery Brand saw significant improvements within 6 months and full results within 8 months. Timeline varies by industry, competition level, and implementation speed.
Can I get a demo with my own data?
Absolutely. Start with a Free AI Profile to see your current AI visibility. Then book a demo to explore the full platform with your data.
How is the AI Influence Score™ calculated?
The score combines recommendation frequency (weighted by intent), citation authority, and trust signals. The exact formula is proprietary, but we've explained the components above.
Do you offer case studies for my industry?
We have clients across 25+ industries. Contact us to request industry-specific benchmarks and anonymized examples.
What platforms do you track?
Currently: ChatGPT, Gemini, Claude, Perplexity, and Copilot. We continuously add new platforms as they gain market relevance.
Is my data confidential?
Yes. All client data is confidential. We never share identifiable client information without explicit permission. All case studies are anonymized.
These aren't marketing stories—they're platform outputs. Every number you see came from an actual UltraScout analysis. We built this platform to give brands the same intelligence we'd want ourselves: clear, actionable, and relentlessly focused on acquisition, not just visibility.
— Yuliya Halavachova, Principal Data Scientist, UltraScout AI