Key Takeaways
- Search has shifted from traditional engines to AI assistants and agents, requiring a new approach to discoverability.
- To be found and recommended by AI assistants, content must be optimized for machine retrieval, not just human readability.
- Key strategies for AI assistant visibility include LLM Optimization, GEO, AIO, LLM SEO, and AI Visibility.
LLM Optimization, GEO and AIO, LLM SEO, AI Visibility
Why assistants skip you and how Platinum.ai fixes it
Search still matters. But the center of gravity moved to assistants and agents. If you want to be discovered, cited, and recommended there, you need LLM Optimization, GEO, AIO, LLM SEO, AI visibility. Different game. Different rules. Assistants don’t figure it out. They retrieve. If your facts are not packaged for machines, you get skipped.
What we actually optimize for
- LLM Optimization – make large language models parse and reuse your facts without guessing
- GEO (Generative Engine Optimization) – optimize for answer engines, not link engines
- AIO (AI Optimization) – umbrella term buyers use when SEO-only isn’t enough
- LLM SEO – transitional label for teams moving from keywords to knowledge
- AI visibility – the outcome that matters: inclusion in answers with correct facts
Different terms. Same outcome. Inclusion beats rank.
The new artifact: your AI Website Profile
SEO makes pages easy to discover. We make facts easy to consume and quote. Platinum.ai builds your AI Website Profile and publishes it in machine-parsable form so assistants can retrieve truth fast. We are standards agnostic on purpose, whatever wins, your facts are already packaged.
Why sites get skipped by AI
- Ambiguity – the same offer described five ways across the site
- Fragmentation – key facts scattered across blogs, PDFs, and price tables
- No provenance – models can’t tell what is current or who vouched for it
- No machine index – nothing like
llms.txtor an AI profile pointing to ground truth
You can polish headlines forever. If machines can’t resolve identity and facts, they pick a competitor who did the boring technical work.
Where llms.txt fits — without the religion
llms.txt is not a formal standard like sitemap.xml. Fine. It is already recognized enough that major AI frameworks and cloud players hit it in the wild. We see the crawlers. We treat llms.txt as the machine index and back it with rich JSON and HTML so no ecosystem is left out. Call it AI sitemap or LLM sitemap if you like. The point is to serve assistants a canonical, low-friction facts surface.
Platinum.ai vs SEO
- SEO increases visibility for search engines
- Platinum.ai makes your site consumable and quotable for AI assistants and agents
Schema, metadata, and internal linking help. They just don’t go far enough for modern LLMs that prioritize compute efficiency and structured retrieval. The sources that pre-package facts get chosen first.
Signals that this shift is already here
- Assistants increasingly surface answers without classic SERP detours
- Newer sites with thin backlink profiles still get browsed and cited by AI when their AI profiles are clean and discoverable
- Two credible mentions plus a machine readable facts surface often beats a cluttered, high-DA site with no AI legibility
What Platinum.ai delivers
Not a stub generator. A production suite plus discipline:
- AI Website Profile as your canonical source of truth
llms.txtsuite plus JSON and HTML mirrors for redundancy- Change tracking so freshness and provenance are machine obvious
- Validation runs across top assistants to confirm inclusion and correctness
This is LLM Optimization, GEO, AIO, LLM SEO, AI visibility implemented as operations, not theory.
For deeper dives
- Guides hub: https://platinum.ai/guides
Bottom line for 2025
Assistants are a primary discovery layer. GEO and AIO are not buzzwords. LLM SEO without a production-grade facts surface is surface-level. If you are not machine legible, you are replaceable.
