How We Use APIs

Our Approach

Alpyn AI uses a systematic, API-driven methodology to analyze how major AI models perceive and recommend your brand. Rather than relying on manual testing or guesswork, we leverage direct API connections to gather accurate, real-time data about your brand's presence in AI-generated responses.

Why APIs matter: By connecting directly to AI model APIs, we can systematically query each model with industry-relevant prompts and analyze how often—and in what context—your brand appears in their responses.

AI Models We Analyze

Our platform connects to the leading AI models that consumers and businesses use daily for recommendations and information:

ChatGPT (OpenAI) Claude (Anthropic) Gemini (Google)

Each model has its own training data, knowledge base, and recommendation patterns. By analyzing all three, we provide a comprehensive view of your brand's AI visibility landscape.

How It Works

Our systematic process ensures consistent, accurate measurement of your brand's AI citation score:

1

Query Generation

We create industry-specific prompts that mirror real user questions

2

API Requests

Queries are sent to each AI model through secure API connections

3

Response Analysis

AI responses are analyzed for brand mentions, context, and sentiment

4

Score Calculation

Data is compiled into your comprehensive AI Citation Score

What We Measure

Our API-driven analysis captures multiple dimensions of your brand's AI visibility:

Citation Frequency: How often your brand appears in AI responses to relevant queries
Recommendation Context: Whether your brand is mentioned positively, neutrally, or in comparison to competitors
Industry Positioning: Where you rank among competitors when AI models make recommendations
Response Sentiment: The tone and framing used when AI models discuss your brand
Query Coverage: Which types of questions trigger mentions of your brand

Security & Privacy

We take data security seriously throughout our API integration process:

Encrypted API connections

No personal data collected

Results cached temporarily

Compliant with AI provider terms

Why This Matters

As AI assistants become the primary way people discover brands and make decisions, understanding your visibility in these systems is critical. Our API-driven approach provides:

Objective Data: Real measurements from actual AI model responses, not estimates or projections
Actionable Insights: Specific recommendations to improve how AI models perceive your brand
Competitive Intelligence: Understanding of how you compare to others in your industry
Trend Tracking: Ability to monitor changes in your AI visibility over time