Distribution in AI answers
The layer the market sees. AEO and GEO make your company the source ChatGPT, Perplexity, Gemini and Claude quote and recommend when buyers ask.
- Answer-first content
- Entity & schema graph
- Prompt tracking

Every company is about to be rebuilt around intelligence.
Most will juggle agencies, freelancers, cloud vendors and consultants—and lose speed at every handoff.
We are the alternative: one in-house team that takes a company end to end.
We shape the strategy, design the product, engineer the AI—and host and operate everything ourselves.
Then we make it visible where buyers now ask: inside the answers of ChatGPT, Perplexity, Gemini and Claude.
One partner. No handoffs. Built to compound—from first idea to unicorn scale.
Everything an AI-native company needs, built and run under one roof—six layers from strategy to the answers the market sees. Scroll to take it apart.
The layer the market sees. AEO and GEO make your company the source ChatGPT, Perplexity, Gemini and Claude quote and recommend when buyers ask.
After launch we keep everything running and improving: monitoring, support, cost and quality tracking, and continuous iteration as you grow.
We host what we build. Cloud, data, security and deployments run with us—so the team that writes the code is the team that keeps it running.
Agents, models, retrieval and the software around them—developed in-house, tested before every release and built for production, not for a demo.
Positioning, product design and interfaces that make a complex AI system feel calm, fast and obvious—for your customers and your team.
We start where value is decided: where AI creates real leverage in your business, what to build first, the business model and the roadmap to scale.
Strategy, product, engineering, hosting, operations and distribution—owned by one team and tuned like a single machine, from first idea to unicorn scale.
Buyers no longer scroll ten links. They ask ChatGPT, Perplexity, Gemini or Claude and get one answer with a few sources. Whoever is in it wins the decision.
Assistants don’t rank pages—they lift passages. AEO engineers the passage: one question, a direct first-sentence answer, the evidence behind it and the schema around it. Written to be quoted verbatim.
Language models recommend the entities they see confirmed across sources. GEO engineers that consensus: one precise entity definition, consistent third-party mentions and access for every AI crawler—then tracks which prompts name you.
An AI-native company runs on AI instead of adding it to an existing product. Its product, operations and decisions are built on models, agents and data from day one, so it improves with every customer and scales without growing headcount at the same rate. Read the full guide →
One in-house team takes a company from strategy to operation: AI strategy and roadmap, product and design, AI engineering, hosting, ongoing operations and visibility in AI answers. No handoffs between agencies, freelancers and vendors.
Yes. We host, monitor and operate the systems we build—cloud, data, security, deployments and support—so the team that builds it is the team that keeps it running and improving.
We choose per project and are not tied to one provider: models from OpenAI, Anthropic, Google Gemini, Meta Llama and Mistral, compute on NVIDIA GPUs via RunPod and Modal, voice with ElevenLabs, and hosting on Google Cloud, Cloudflare and Vercel.
AEO (Answer Engine Optimization) is the practice of structuring content so AI assistants and answer boxes can quote it directly. It focuses on clear questions, direct first-sentence answers, extractable passages and machine-readable structure. Read the full guide →
GEO (Generative Engine Optimization) is the practice of making a brand visible inside answers generated by large language models such as ChatGPT, Perplexity, Gemini and Claude. It focuses on entity clarity, crawl access, third-party mentions and citations—the signals models use to decide which brands to recommend. Read the full guide →