Open Web AI Query Architecture

A standardized protocol enabling AI systems to access structured, query-responsive product listings through deterministic business-controlled interfaces.

OWAQA Architecture

Technical Architecture

Core Components

robots.txt + llm.txt

Extended robots.txt convention including llm.txt manifest for AI-readable site summaries, taxonomy, and API endpoints.

REST API Interface

Structured endpoints accepting AI queries with intent, budget, and context parameters, integrated with business MCPs.

Vector Database Matching

Business-maintained vector databases containing micro-targeted product variants optimized for specific contexts and personas.

Security & Attribution

Built-in rate limiting, API authentication, and attribution systems to ensure secure and fair use of business content.

Our Philosophy

One Product, Many Stories

We believe businesses are best positioned to optimize and present their products to different end users - even when those users have vastly different needs.

The Power of Context

Our interactive demo showcases a single product - a professional tennis racquet. While the physical specifications remain identical, the benefits, messaging, and positioning are carefully tailored for different audiences.

Business-Driven Optimization

Businesses understand their products best and can create targeted variations that resonate with specific user segments while maintaining product integrity.

Persona-Perfect Presentation

From high school athletes to weekend warriors, each audience sees the product through a lens that matches their specific needs and aspirations.

Problems Solved

  • Generic product descriptions that don't resonate with specific audiences
  • Lost opportunities due to mismatched product positioning
  • Difficulty in maintaining consistent product information across variations
  • Ineffective AI-driven product recommendations

Try It Yourself

Experience how the same tennis racquet adapts its presentation for different players in our interactive demo.

Launch Demo

AI & Business Control

Deterministic Control in a Probabilistic World

While AI excels at understanding user context, businesses must maintain control over their product messaging.

AI's Probabilistic Nature

  • Generates dynamic, contextual responses based on patterns and probabilities
  • Can produce inconsistent or unexpected messaging variations
  • May not align with brand values or regulatory requirements

OWAQA's Deterministic Approach

  • Pre-defined, business-approved messaging for each user segment
  • Consistent brand voice and product positioning across all variations
  • Compliance with regulatory and legal requirements

The Best of Both Worlds

OWAQA combines AI's ability to understand user context with business-controlled messaging. While AI determines which variation best suits the user, the actual content remains static and business-approved. This ensures perfect alignment between user needs and business messaging, without the unpredictability of AI-generated content.