Moving beyond keyword SEO to high-resolution AI conversations. A standardized protocol enabling AI systems to match users with perfect products through natural language understanding.
REST API → Not Web Scraping
Click components to explore • Hover to highlight flow
Natural language request
Processes query
✓ Finds REST API endpoint
✓ Ethical & Fast
Site Maintains Control
Smart Matching
400+ per product
Ranks by relevance
Perfect Match!
Natural language
Processes query
✓ API discovery
✓ Ethical & Fast
Site maintains control
Smart matching
400+ per product
Ranks results
Personalized
A better way forward for businesses, AI systems, and users
Authentic Voice: Users get the best version of the answer that you can provide—not AI rewording your message.
Maintain Control: This is what your business thinks based on the query. Your rules, your pricing, your relationships.
Build Relationships: You can't compete on price alone. When AI speaks for you, you lose. When it delivers your voice, you win.
Better Answers: Structured, reliable data means better responses for users—the whole reason LLMs exist.
Quality Training Data: Businesses create 1000+ human-edited, proofed content pieces per product—gold for future model training.
Sustainable Development: This model puts the onus of content development on businesses, who are incentivized to improve quality continuously.
Better Product Fit: Context-aware matching means you get products that actually fit your specific needs and situation.
Higher Satisfaction: Authentic business voice and messaging builds trust and confidence in your purchasing decision.
Transparent Information: You know you're getting the business's real perspective, not an AI's interpretation or hallucination.
The old way: AI scrapes websites and speaks FOR businesses
The OWAQA way: Businesses speak directly through structured APIs
Core Components
Extended robots.txt convention including llm.txt manifest for AI-readable site summaries, taxonomy, and API endpoints.
Structured endpoints accepting AI queries with intent, budget, and context parameters, integrated with business MCPs.
Business-maintained vector databases containing micro-targeted product variants optimized for specific contexts and personas.
Built-in rate limiting, API authentication, and attribution systems to ensure secure and fair use of business content.
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.
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
Persona-Perfect Presentation
Experience how the same tennis racquet adapts its presentation for different players in our interactive demo.
Launch DemoDeterministic Control in a Probabilistic World
While AI excels at understanding user context, businesses must maintain control over their product messaging.
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.