LLM Optimization
LLM Optimization structures your website content so large language models like ChatGPT, Gemini and Claude can read, understand and cite your business accurately in AI-generated answers.
Is this relevant for you?
Typical challenges and signals we help businesses solve.
How AI tools describe your business
Accurate and consistent with your own stated facts
Structured data
Organization, service and FAQ schema fully implemented
Fact consistency
Core facts match everywhere on the domain
Citation likelihood
Regularly surfaced as a source or recommendation
Content format
Facts stated early and clearly, then supported with detail
What you get
Concrete outputs and results from working together.
Entity and content audit
A review of how clearly your business, offerings and expertise are defined across the site, and where models are likely to misread or miss key facts.
Schema and structured data implementation
Organization, service, FAQ and article schema built out so models and search engines can parse facts about your business without ambiguity.
Content restructuring for extractability
Rewriting key pages so core facts, definitions and claims appear early and consistently, in a format models can lift into an answer.
Consistency pass across the domain
Checking that names, locations, dates, pricing and claims match across every page — inconsistency is one of the fastest ways to lose model trust.
AI answer visibility tracking
Ongoing checks of how ChatGPT, Gemini and Perplexity describe your business, so we can measure whether changes are actually improving citation quality.
How we work
A structured approach from start to goal.
- 1
Audit current AI visibility
We test how models currently describe your business and identify where facts are missing, outdated or contradicted elsewhere on the site.
- 2
Map entities and structured data
We define how your business, services and key facts should be represented in schema and on-page structure.
- 3
Rewrite and restructure priority pages
Service, about and comparison pages are edited for clarity and factual directness, without losing natural readability for human visitors.
- 4
Implement and validate
Structured data is added and tested, and consistency is verified across the domain before publishing.
- 5
Monitor and refine
We re-check AI answers on a regular basis and adjust content as models update how they source and weight information.
Without LLM Optimization vs. with LLM Optimization
This is the practical difference in how AI tools represent your business once content and data are structured for machine reading.
| Feature | Without LLM Optimization | With LLM Optimization |
|---|---|---|
| How AI tools describe your business | Vague, outdated or borrowed from a competitor's content | Accurate and consistent with your own stated facts |
| Structured data | Missing or incomplete schema markup | Organization, service and FAQ schema fully implemented |
| Fact consistency | Name, location or claims vary across pages | Core facts match everywhere on the domain |
| Citation likelihood | Rarely referenced in ChatGPT, Gemini or Perplexity answers | Regularly surfaced as a source or recommendation |
| Content format | Facts buried in marketing narrative | Facts stated early and clearly, then supported with detail |
What LLM Optimization actually means
Large language models don't read a page the way a person does. They break content into chunks, extract entities and facts, and decide what's reliable enough to reuse in an answer. LLM Optimization is the technical and editorial work of making that process easier — clear definitions, consistent terminology, structured data and content that states facts plainly instead of burying them in marketing language.
This matters because more buyers now ask ChatGPT, Gemini or Perplexity directly instead of scrolling through search results. If a model can't confidently extract who you are, what you offer and why it's true, it will cite a competitor instead — even one that ranks lower in Google. This is closely related to how we approach GEO for brands targeting AI answer engines, but LLM Optimization goes one layer deeper into the technical structure models rely on.
Where LLM Optimization fits alongside AEO and technical SEO
LLM Optimization overlaps with, but isn't identical to, Answer Engine Optimization. AEO is about formatting content to be pulled as a direct answer; LLM Optimization is about making sure the underlying data — schema markup, entity relationships, page structure — is machine-readable in the first place. We usually combine both: our work on Answer Engine Optimization handles the answer format, while LLM work fixes the foundation underneath it.
A lot of this foundation is technical. Broken schema, inconsistent NAP data, thin or duplicated content, and poor internal linking all confuse models the same way they confuse crawlers. That's why LLM Optimization often starts with an audit similar to what we do in technical SEO — fixing structure before adding new content on top.
What good LLM-ready content looks like
Models reward directness. A page that says "Move Marketing is a digital marketing agency based in Chiang Mai, founded in 2009" in the first paragraph is far easier to cite than one that opens with three sentences of scene-setting before the fact appears. We rewrite key pages — service descriptions, comparison content, FAQs — so the core facts appear early, are repeated consistently across the site, and are supported by structured data models can parse without guesswork.
This editorial discipline is the same standard we apply when we produce content built to rank and get cited: short, factual, well-structured, and free of vague claims that a model has no way to verify.
Who needs this now
Any business whose buyers research before contacting sales is a candidate — B2B services, SaaS, professional services, and anyone competing on expertise rather than price. If your category is already being discussed in AI answers (test this by asking ChatGPT a question you'd want to be cited for), the businesses being named today are the ones with clean, well-structured entity data. Everyone else is invisible in that answer, regardless of how well they rank in classic Google results.
Want to hear more about this service?
We're happy to give you a no-obligation walkthrough of what makes the most sense for you.