Orxaro
Guide

How to Choose a LLM Optimization Agency

Picking the wrong llm optimization partner wastes months and thousands of dollars. Here's how to choose one that actually drives growth — the criteria that matter, the red flags to run from, and the exact questions to ask.

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What to look for in a llm optimization agency

  • Senior specialists doing the work — not a rotating cast of juniors
  • Transparent reporting tied to revenue, not vanity metrics
  • A clear strategy and roadmap, not a generic checklist
  • Case studies and references in your industry or market
  • Flexible, month-to-month terms that earn your trust

Red flags to avoid

  • Guarantees of #1 rankings or specific results (no one can honestly promise this)
  • Long lock-in contracts with no performance accountability
  • Vague reporting that hides what's actually happening
  • Suspiciously cheap pricing — it usually means junior, templated work
  • No clarity on who actually does the work

Questions to ask before you sign

  • Who specifically will manage my account, and how senior are they?
  • How do you measure and report on llm optimization?
  • Can I see results you've driven for businesses like mine?
  • What does your onboarding and first 90 days look like?
  • What are your contract terms, and can I scale up or down?

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FAQ

Frequently asked questions

It's optimizing your brand, content, and data so large language model assistants — ChatGPT, Gemini, Claude, Perplexity — surface, describe, and recommend you accurately when users ask.

A growing share of buyers now ask AI assistants for recommendations instead of searching. If the AI doesn't know you — or describes you wrong — you lose the deal before you ever hear about it.

Not directly — no one can. But we strongly influence it by improving the sources, structure, and signals these models rely on, and we monitor the results across assistants.

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