Contestra

[EDGE FEATURES]

Powered by Global Edge Compute

A dynamic logic layer that intercepts, routes, and assembles content on demand to win the AI answer.

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Sub-50ms Retrieval

Retrieval is a 'supermarket sweep' with a strict time limit. CMS platforms are too heavy. Our serverless architecture eliminates origin latency, processing requests in under 50ms from 300+ global nodes. We physically crowd out bloated competitors.

Content Sharding

We ingest your current website and programmatically fracture it into thousands of specific 'Answer Shards.' This allows you to capture the true long-tail of AI queries without requiring a single minute of manual content production.

Real-Time Generation

Static cache is dead. With Programmatic Edge Compute, you have one template. The Edge logic detects the query parameters and generates the specific answer on the fly. You achieve infinite scale without infinite storage bloat.

Agent-Aware Shaping

Your content is dynamically adapted to the AI agent making the request. Different models have different 'token economies'. By serving their Native Format, we lower their 'Ingestion Cost', making your content the path of least resistance.

Infinite Fan-Out Scale

AI 'fans out' a user prompt into parallel background searches. Our architecture instantly generates thousands of granular 'Answer Shards' across every branch of the investigation tree—ensuring your brand wins the consensus vote.

Voice-Native Answers

Voice assistants demand brevity. We programmatically reformat your Atomic Shards into concise, conversational scripts—tagged with Speakable Schema for Google and SSML-ready for Alexa—ensuring your brand narrative gets spoken, not a competitor's.

Fractal-Tail Capture

Google incentivized user brevity to match keywords (2–4 words). AI prompts are 20–80 words. Winning no longer depends on keyword ranking. We ensure you dominate the thousands of specific, high-intent questions where money is made.

Agentic Commerce

AI agents need more than info—they need invocable actions. We publish your brand's commerce capabilities (APIs, booking systems, checkout endpoints) in agent-readable formats like llms.txt and shard headers, turning recommendations into transactions.