> ## Documentation Index
> Fetch the complete documentation index at: https://wiki.platelunchcollective.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Transformer Architecture

> The transformer architecture is the neural network design underlying modern LLMs — including GPT, Claude, and Gemini.

*Technical implementation* · *AI Search Infrastructure*

## Definition

The transformer architecture is the neural network design underlying modern LLMs — including GPT, Claude, and Gemini. It uses self-attention mechanisms to process and generate text, enabling models to capture long-range relationships between words and concepts across entire documents.

## Why It Matters for AI Search

Transformer architecture explains why semantic coherence matters more than keyword frequency in AI search. Transformers process meaning through attention across the full context — a document that clearly develops a coherent argument about a topic will be represented more accurately than a document that mentions the right keywords without building a clear semantic structure. For brands, this means writing that develops ideas clearly and consistently produces better AI representation than keyword-stuffed content.

## Related Terms

<CardGroup cols={2}>
  <Card title="Foundation model" href="/ai-search-glossary/foundation-model" />

  <Card title="LLM" href="/ai-search-glossary/llm" />

  <Card title="Pre-training" href="/ai-search-glossary/pre-training" />

  <Card title="Embedding" href="/ai-search-glossary/embedding" />

  <Card title="Semantic relevance" href="/ai-search-glossary/semantic-relevance" />
</CardGroup>

## Relevant Plate Lunch Collective Services

[AI SEO](https://www.platelunchcollective.com/services/ai-seo)