Agent-ready visibility
abvx llmo is a pragmatic set of improvements that makes your site and docs easier to parse for humans and language models: clear page intent, predictable structure, and fewer dead ends.
What it includes
- Information architecture: navigation, page hierarchy, and content clusters.
- Internal linking and anchor text that reflects user intent.
- Metadata hygiene: titles, descriptions, canonicalization.
- Structured data basics (JSON-LD) where it helps entity understanding.
- Agent-ready docs patterns: predictable, referenceable, reusable pages.
What it is not
- No gimmicks and no promises of rankings.
- No keyword stuffing.
- No heavy “SEO content” that makes the product harder to understand.
FAQ
LLMO methodology questions.
What does LLMO mean?
LLMO means LLM Optimization: improving how clearly a site, brand, product or knowledge base can be understood by large language models and AI-search systems.
What changes first in an LLMO pass?
The first changes are usually entity clarity, page intent, canonical metadata, internal crosslinks, structured content indexes and JSON-LD that matches what users can actually see on the page.
Is this a replacement for SEO?
No. It extends SEO into AI-mediated discovery. Traditional crawlability, titles and page quality still matter, but LLMO adds structured context, entity consistency and agent-readable references.