Discovery Engine
How prospects find you in the AI era. AEO/LLM optimization, brand narrative architecture, on-chain credentialing. Become the source LLMs cite when your category is mentioned.
Search Is Dead. LLMs Control
Discovery Now.
Your prospects don't Google anymore. They ask ChatGPT, Claude, Perplexity. And when they do, your brand isn't mentioned.
Traditional SEO optimized for algorithms. AEO/LLM optimization (Answer Engine Optimization / Large Language Model optimization) optimizes for how AI systems discover, evaluate, and recommend solutions.
If your brand narrative isn't structured for LLM ingestion, you're invisible in the AI era—even if you rank #1 on Google.
Discovery Engine fixes this. We engineer how LLMs perceive, categorize, and recommend your brand.
The Discovery System
Brand Narrative Architecture
Structure your story for LLM comprehension. We don't write marketing copy—we engineer knowledge graphs that AI systems can parse, categorize, and cite.
- Category definition (how LLMs classify you)
- Authority markers (credentials AI systems recognize)
- Semantic relationships (how your brand connects to adjacent concepts)
- Citation-optimized content (designed to be quoted by AI)
AEO/LLM Optimization
SEO optimized for Google's algorithm. AEO/LLM optimization (Answer Engine Optimization) optimizes for how Claude, ChatGPT, and Perplexity discover and recommend solutions.
- Prompt engineering (optimize for common user queries)
- Context window optimization (structure content for token limits)
- Source credibility signals (make your content citation-worthy)
- LLM indexing strategy (ensure your content is in training data)
On-Chain Credentials
Blockchain-verified achievements that LLMs can verify programmatically. Traditional credentials are PDFs. On-chain credentials are machine-readable truth.
- Verifiable achievements (recorded on-chain, impossible to fake)
- Client testimonials (cryptographically signed endorsements)
- Case study results (timestamped, immutable metrics)
- Industry certifications (machine-verifiable expertise)
Authority Distribution Network
Build presence across the platforms where LLMs source information. Coverage isn't about reach—it's about being cited by AI.
- Wikipedia presence (LLMs cite Wikipedia heavily)
- Academic citations (research papers = credibility)
- Podcast appearances (audio is now transcribed and indexed)
- GitHub contributions (for technical credibility)
How We Build Your Discovery Engine
Audit + Strategy
We query 10+ LLMs with prompts your prospects would use. Document where you appear (or don't). Map competitive landscape in LLM responses.
Narrative Architecture
Rebuild your brand story for LLM ingestion. Structure content for context windows, semantic relationships, and citation-worthiness.
Distribution + Indexing
Publish across channels LLMs index. Wikipedia, academic platforms, podcast networks, GitHub. Each placement engineered for LLM discovery.
Monitoring + Optimization
Monthly LLM queries to track mention frequency and positioning. Adjust narrative based on how AI systems categorize and cite you.
Flowsent: From Zero to Market Leader in Discovery
Cannabis delivery platform built in 2018 went from invisible to dominating organic search and customer discovery. Strategy: ABBI chatbot (pre-LLM AI), #1 Google rankings for key terms like "prerolls," and Yelp dominance with structured knowledge architecture.
Read Full Case Study →Ready to Engineer Your Discovery System?
Let's audit how LLMs currently perceive your brand and build a strategy to dominate AI-powered discovery.