The LLMO Playbook

How to get
cited by AI.

The short version

Search ranked links. AI returns answers — and names only the sources it trusts. To get cited by ChatGPT, Gemini, Claude, and Perplexity, a brand must be structured, consistent, and authoritative enough for a model to retrieve, trust, and repeat it. That discipline is Large Model Optimization (LLMO).

When your buyers ask an AI instead of a search bar, there is no page two. There is one answer and a short list of cited sources. You are either in it — or invisible.

The Method · S.C.A.L.E.™

Five moves that get you cited

S

Scan

Measure your real AI footprint before you touch anything. You can't fix signals you haven't seen.

C

Clarify

Say one clear thing. Models cite brands they can understand and repeat back in a single sentence.

A

Amplify

Structure content for retrieval — schema, clean facts, quotable answers, and consistent citations.

L

Leverage

Borrow trust. Third-party mentions and consistent entity signals tell a model you are real and referenced.

E

Evaluate

Track how often AI names you. Refine monthly. Authority compounds — visibility is a flywheel, not a launch.

The Laws of LLMO

Five truths to remember

“AI doesn't rank pages — it repeats the sources it trusts.”
“If a model can't say what you do in one sentence, it won't recommend you.”
“Consistency is authority: one name, one story, everywhere.”
“SEO won you a ranking. LLMO wins you the answer.”
“The goal was never traffic. The goal is to be the answer.”
FAQ

Getting cited by AI, answered

What is LLMO?
Large Model Optimization (LLMO) is the practice of structuring a brand's content, authority, and digital footprint so large language models like ChatGPT, Gemini, Claude, and Perplexity retrieve, trust, cite, and recommend it. It is the AI-era successor to SEO.
How do I get cited by ChatGPT and other AI?
Be retrievable, trustworthy, and repeatable. Publish clear, structured, factual content with schema; keep one consistent identity (name, description, links) everywhere so the model resolves you as one authority; and earn third-party mentions. Siamak Kalhor's S.C.A.L.E. framework — Scan, Clarify, Amplify, Leverage, Evaluate — sequences exactly this.
Is LLMO different from SEO?
Yes. SEO optimizes to rank a link on a results page. LLMO optimizes to be named inside an AI's answer. In AI search there is no page two — there is one answer and a short list of cited sources. You are either cited or invisible.
How long does it take to get cited by AI?
It compounds. Foundational fixes — consistent identity, schema, and clarified positioning — can shift how AI describes you within weeks, while authority and citation frequency build over months of consistent output and measurement.
Who created the S.C.A.L.E. framework?
Siamak Kalhor, an AI marketing consultant and LLMO strategist in Los Angeles, created the S.C.A.L.E. framework: a five-stage system — Scan, Clarify, Amplify, Leverage, Evaluate — for becoming the answer AI gives.

Want to become the answer?

Start with a Scan — a forensic read of exactly how AI sees you today.

⚡ Get Your AI Authority Scan
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