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The Beyond Search

We help companies become discoverable, trusted, and recommended by AI.

https://thebeyondsearch.com

Meet the Team

Aditya Singh
Aditya Singh- Founder & CEO
Directs company vision, product architecture, and strategic development, pioneering how brands achieve authoritative visibility across LLMs and AI search engines.
Anirudha Nayak
Anirudha Nayak- Co-Founder & Head of Growth
Drives commercial strategy, strategic partnerships, and enterprise client expansion, establishing AI discoverability as a core growth channel for modern brands.
Pratyush Jha
Pratyush Jha- Co-Founder & Chief Technical Officer
Architects core engineering systems, synthetic audit infrastructure, and real-time retrieval benchmarks that track LLM brand perception.
Himesh Singh
Himesh Singh- Head of Content & Marketing
Leads editorial strategy, technical research publishing, and marketing systems designed to elevate authoritative brand presence across search and AI engines.
Arnav Dhar
Arnav Dhar- Growth & Outbound Associate
Manages outbound acquisition campaigns, prospect intelligence, and client discovery workflows across enterprise AI visibility markets.
Arnav Bajaj
Arnav Bajaj- GEO & AEO Research Associate
Conducts empirical research on generative engine optimization (GEO), knowledge graph grounding, and citation mechanics across top LLM platforms.
The Beyond Search logo
The Beyond Search· Core Team
Making brands discoverable, trusted, and recommendable by AI.

Why we exist

AI search is how buyers find products now. We built the infrastructure to make sure they find you.

Engineering & Tech Stack

Hard engineering problems we work on:

  • Crawl, transform, and serve structured content that LLMs and agents can understand, retrieve, and use.
  • Run prompt experiments and agent workflow evaluations to understand how AI systems discover and compare products.
  • Build infrastructure to simulate, trace, and debug agent behavior across docs, websites, APIs, SDKs, and product workflows.
  • Track token-level cost, caching, deduplication, and latency for high-volume AI and agent traffic.
  • Build analytics for Share of Voice, competitive visibility, workflow success rates, and agent failure points across models.

Our stack:

  • Frontend: TypeScript, Next.js 15, Tailwind CSS, Framer Motion
  • Backend: Node.js, Go, Python (LLM Evaluation Pipelines)
  • Data & Vector: Postgres & pgvector, Redis, Vector Embeddings, Tinybird
  • Infrastructure: Cloudflare Workers, Edge CDN Routing, Vercel Network

Frequently asked questions

Clear answers about AI visibility and search.

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Making brands discoverable, trusted, and recommendable by AI.