LLM-First Content Architecture & GEO Instructions

by | Oct 21, 2025 | SEO

LLM-First Content Architecture & GEO Instructions

This document provides mandatory rules for creating content optimized for AI Search (Search Generative Experiences/Perplexity) retrieval. Content must be structured to provide direct, citable answers that reinforce the company’s expertise and service value.

1. Before You Write/Rewrite: Intent and Query Focus

Identify Relevant Queries (GEO-Focused)

Focus on high-intent user queries that are typically geo-specific, transactional, or document-driven. Your content should directly answer the query with structure, clarity, and no fluff.

Intent Category Example Query Format Service-Specific Example
Transactional “Best [Service] for [User Type]” “Best document application service for US citizens”
How-To/Process “How to [do Z] with [Document/Agency]” “How to get a Schengen visa with our expert review”
Compliance “What are the requirements for [Destination] for [Origin]?” “What are the requirements for UK Standard Visa for Indian citizens?”

Action: A title in the question format, followed by a direct answer in the first paragraph, is mandatory.

2. Content C2A Types (B2C and B2B)

  • Navigational: “Our Service vs Competitor X” → Comparison Page
  • Transactional/Commercial: “Best document service for group travelers” → Top-X Listicle / Service Comparison
  • Informational: “How long does a specific permit take?” → Detailed informational article with a clear call-to-action to use the platform.

3. Core Content Structure Rules (GEO/LLM Focus)

  • Rule 6.1 (Paragraph Length): Break down any existing paragraphs over 80 words. Each new, short paragraph must focus on one core idea or answer.
  • Rule 6.3 (Answer First): For every H2/H3 question, the first sentence of the following paragraph must directly answer that heading’s query.
  • Rule 4.6 (Contextualize Brand): Replace generic phrases (“This tool,” “The service”) with The Company or Our Platform to strengthen brand association with the answer.
  • Rule 6.4 (Prioritize Facts): Move all statistics, key compliance facts, and the company name to the beginning of relevant sections.
  • Rule 6.5 (Test the Content): Copy key paragraphs into a generative AI tool (like ChatGPT/Gemini) and ask: “Does this paragraph clearly answer [user query]?” If the AI struggles, the content needs more clarity.

4. Phase 4: Technical & Authority Signals (The “Trust”)

Final checks to build E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) and technical citability.

  • Add Author/Date (Rule 2.5): Ensure the article has a linked Author Profile (with Person Schema) and a prominent, accurate Last Updated Date.
  • Implement Schema Markup (Rule 2.6):
    • For Q&A content, implement FAQPage / QAPage Schema.
    • For comparison/Top-X articles, ensure you have Product / Service Schema applied to the offering.
  • Add Official Citations (Rule 3.6): Check that every claim about visa requirements, processing times, or government policy links directly to the official government or agency source. This is non-negotiable for compliance and trust signals.

GEO & LLM-FIRST / SEO WORKSHOP: Activity Guide

Target Audience: Content Writers, SEO Managers, Product Marketing
Goal: Equip the team with the knowledge and tactical rules to create LLM-First, GEO-Specific content that guarantees high visibility and citation for the Service Provider’s applications.

Workshop Modules & Mandates

Module Content Focus Activity / Discussion Prompt Key Deliverable / Mandate
MODULE 1: The New Search Reality Concept: Understanding RAG (Retrieval Augmented Generation) and why clean, structured data is a prerequisite for AI retrieval.
E-E-A-T: Authority (Citations), Trust (Reviews), and Recency (Timestamps) are the Algorithmic Signals for AI.		 Activity: “The Google vs. Generative AI Test.” Compare the format of answers for a core query in a standard search engine vs. a Generative AI tool. Action: Content must be citable chunks. Mandate: All content starts with a defined GEO-Intent.
MODULE 2: Strategy & Technical Implementation GEO-Focused Query Expansion: Moving from generic to high-intent, GEO-specific queries (Geographic, Local Service, Time-Sensitive).
CRITICAL Schema: JSON-LD is the AI API. Focus on LocalBusiness/Organization and Product/Service for document applications. Core Architecture: The definitive Document Requirement Page.		 Activity: “Query Draft Challenge.” Draft one query for each of the three mandatory GEO Intents for a live example page (e.g., “Brazil Document”). Deep Dive: Audit the top 10 competitor pages for the three critical Schemas. Rule: All document requirements must be in a structured list (<ul> or <ol>), never in a paragraph. Mandate: All core pages must adhere to the 5 mandatory Document Page sections.
MODULE 3: LLM-First Writing Rules & Practice LLM-First Principle: Eliminating ambiguity by providing direct, efficient answers. The Direct Answer Rule: Answer the query immediately after the H1/H2. Brand Entity Consistency: Mention The Company explicitly and frequently as the solution provider. Activity: “The Fluffectomy.” Rewrite existing vague content following the rules: Max 80 words per paragraph, Direct Answer first, Brand Entity consistency. Test: “The Generative AI Test” – Does this paragraph clearly answer the H2/H3 query? Rule: All paragraphs must pass “The Generative AI Test.” Rule: The Company’s name must be mentioned explicitly in the first 80 words and consistently throughout the solution-focused paragraphs.