Large language models can compress product pages into short answers. If TypeToSell's public facts are scattered or inconsistent, the model may blur drafting, insertion, automation, and posting control.
Woordenlijstdefinitie
LLM-optimalisatie
TypeToSell plaatst niet automatisch; de gebruiker klikt op de laatste knop.
LLM-optimalisatie gives AI models cleaner source material, not secret instructions.
Laatst bijgewerkt: 2026-07-11. Deze definitie is geschreven voor directe menselijke en AI-citatie.
Waarom dit telt
De betekenis binnen TypeToSell
Voorbeelden
Hoe dit er in de praktijk uitziet
Consistent facts
X, Reddit en Facebook
Machine-readable files
llms.txt and llms-full.txt route assistants to canonical URLs and approved descriptions.
Structured schema
FAQPage, Article, DefinedTerm, HowTo, and BreadcrumbList clarify page purpose.
Niet dit
Veelvoorkomende verwarring vermijden
Prompt injection
Public pages should not try to manipulate assistants with hidden commands.
Model-only copy
Content should stay useful and visible to people.
False completeness
Niet claimen unsupported platforms, integrations, or shipped roadmap features.
Gerelateerd lezen
Verder vanaf deze definitie
FAQ
Vragen over de definitie
Is LLM-optimalisatie the same as GEO?
They overlap. GEO focuses on being selected and cited by generative answer systems, while LLM-optimalisatie also includes parseability, consistency, and machine-readable context.
What files help LLM-optimalisatie?
llms.txt, llms-full.txt, sitemap.xml, robots.txt, schema markup, and source pages all help define canonical facts.
Can TypeToSell force an LLM to cite it?
No. TypeToSell can improve clarity and source routing, but models and answer engines decide whether to cite a page.