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LLM optimization: becoming the answer
SEO made you rank. LLMO makes AI assistants recommend you — a different game with different rules.
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2-3
products a typical AI answer names
1
self-published page most products offer as evidence
2+
corroborating sources engines want
The short answer
LLM optimization means making your product the answer AI assistants give. It requires machine-readable product facts (schema markup), corroboration across independent sources, and verifiable signals that the product is real — engagement, reviews, live status. A structured directory listing supplies all three on a domain engines already trust.
You're optimizing for a search engine that's leaving
The query 'best tool for X' increasingly resolves inside an AI answer — no links, no scroll, one paragraph naming two or three products. The engines writing that paragraph don't care about your keyword density; they cite sources that are structured, consistent, and corroborated. Most products have one self-published page making claims no engine can verify — that's not citable.
The LLMO stack: structure, corroboration, proof
Get the product facts machine-readable (schema on your site), corroborated (a directory listing saying the same things), and proven (engagement signals engines read as trust). OnlyFoundrs listings deliver the second and third automatically — SoftwareApplication JSON-LD, community signals, a permanent canonical URL.
Structured facts
Schema-marked name, category, pricing — extractable without inference.
Independent corroboration
A second source agreeing with your site is what makes a product safe to name.
Engagement as evidence
Real votes and comments are the proof-of-use signals engines weight.
Canonical permanence
Citations resolve to a page that never expires — engines penalize broken references.
SEO vs LLMO
| Elsewhere | OnlyFoundrs | |
|---|---|---|
| Surface | Ranked link lists | The synthesized answer |
| What wins | Keywords + backlinks | Structure + corroboration + proof |
| Unit of success | Position | Citation |
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Stop shouting into the void.
The buyers are already here. Launch free today — your product goes live instantly and gets routed to the communities looking for it.
FAQ
What is LLM optimization?
Making your product citable by large language models — ChatGPT, Claude, Perplexity. Also called AEO or GEO. It centers on structured data, corroborating sources, and verifiable signals.
How do I get ChatGPT to recommend my product?
Give engines corroborated, structured facts: schema on your site plus a directory listing that agrees, with engagement signals proving the product is real and used.
Does one listing really matter for LLMO?
It's the second independent source — the cheapest corroboration there is. Engines trust consensus across domains far more than one self-published claim.