Untapped Potential
% untapped
Not recommended in
Position in AI recommendations
Sources behind the AI answers
AI Visibility in Detail

Multidimensional Analysis

Visibility alone isn't enough. These six dimensions show where the real strengths and risks lie.

Customer Journey — AIDA Model

Each target group was tested with 4 realistic search queries — one per stage of the buying process. No query mentioned the brand name.

Biggest Opportunity

Competitive Landscape

Who does AI recommend as an alternative?

When someone asks the AI "What are alternatives to [brand]?", who gets recommended? These answers reveal the true strategic competitors.

Competitive Field

Sources by Influence

The more often a source is cited, the more it shapes which brands AI recommends. This is where the biggest leverage sits: whoever shows up on these pages gets recommended by AI.

Citations ▾ Domain Type Opportunity ▾ Recommended action
Competitor — Improve own content to displace these domains
Editorial — Place PR, reviews & advertorials
Industry — Partnerships & guest contributions
Own domain — Build out & structure content
Reference — Maintain & keep listings up to date

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How this report is built

The analysis pipeline behind this scan

A systematic, data-driven process — from target-group definition to the finished report.

1

Digital Twin target groups

Synthetic buyer personas built from real audience data — each with its own profile, industry focus, and search behavior. For this quick scan: 2 personas.

Neuro Twins Persona profiles
2

Generate AIDA queries

For each persona, search queries are generated for all 4 stages of the buying process (AIDA) — without ever naming the brand. This simulates real buyer behavior.

4 AIDA stages Brand-blind
3

Query the AI engines

Each query is sent to AI models — with forced web search, so answers are based on real, current sources rather than training data.

ChatGPT Forced web search
4

Brand extraction & scoring

Automated analysis of every answer.

Mention tracking Source mapping
5

Opportunity analysis

Sources are classified by influence and scored on opportunity.

Opportunity score Source classification
6

Report & recommendations

All findings merged into an interactive report.

This report
This report is a quick scan — a snapshot with 1 AI engine and 10 queries. For a full AI visibility analysis we expand to 4 engines (ChatGPT, Google AI, Perplexity, Claude) and 1,000 to 6,000 queries per brand, generated by Digital Twins using the Rankscale methodology.
The technology behind it

Digital Twins — market research in minutes

neuroflash builds Digital Twins of your audiences — synthetic focus groups grounded in real data. What used to take weeks and five-figure budgets now takes minutes:

✓ Innovation & concept tests
✓ Brand positioning
✓ Campaign & copy evaluation
✓ Product idea validation
✓ Audience segmentation
✓ Competitive perception

The same technology that produced this AI visibility report can also simulate buying decisions.

Learn more about Digital Twins →
Live Twin evaluation
Simulation based on 5 synthetic B2B buyers
Next step

What we'll cover
  • ✓ Multi-engine results (ChatGPT, Google AI, Perplexity, Claude)
  • ✓ Identify & prioritize additional target groups
  • ✓ Concrete content strategy per funnel stage
  • ✓ Personalized action plan with priorities
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