Beyond Traditional SEO: Optimizing Your Website for the Age of AI and LLMs

Martín De Muniategui, July 8, 2025

The digital landscape is shifting beneath our feet. With Google’s AI Overviews, ChatGPT, and Bing Copilot delivering instant answers, users increasingly get solutions without clicking through to websites. For brands relying on organic visibility, this isn’t a distant future, it’s today’s reality. Enter LLM SEO: the next evolution in search optimization.

Why LLM SEO? The Silent Revolution

Traditional SEO focuses on ranking web pages for keyword queries. LLM SEO, however, optimizes for citations in AI-generated answers. When an LLM (like Gemini, Claude, or ChatGPT) surfaces your content as a source in its response, you gain authority, even if users don’t visit your site. The goal? Become the trusted reference for AI.

Key Differences: Traditional SEO vs. LLM SEO

Aspect Traditional SEO LLM SEO
Target

Search engine algorithms

LLMs & AI answer engines

Content Focus

Keywords, backlinks

Depth, expertise, context

User Interaction

Drive clicks to site

Brand visibility in AI answers

Success Metrics

Rankings, organic traffic

Citations, source mentions

Optimizing for LLMs: A Practical Checklist

To make your content AI-friendly:

  1. Prioritize E-E-A-T
    Experience, Expertise, Authoritativeness, and Trustworthiness are paramount. LLMs favor sources with clear credentials, author bios, and cited data.
  2. Structure for Scannability
    Use clear headings (H2/H3), bullet points, and tables. LLMs extract answers more easily from well-organized content.
  3. Answer the Why and How
    Target long-tail, conversational queries (e.g., “How do I configure AEM for multi-region CDN caching?”). Cover subtopics exhaustively.
  4. Leverage Structured Data
    Implement Schema.org markup. Product specs, FAQs, and step-by-step guides become LLM fuel.
  5. Embrace Semantic Depth
    Avoid thin content. Explain concepts in context, link to related resources, and anticipate follow-up questions.

Tools to Automate LLM SEO Optimization

While human expertise remains irreplaceable, these tools streamline the process—especially for AEM users:

  • Adobe LLM Optimizer (coming soon via Adobe Experience Cloud):
    generative AI search and discovery optimization solution that helps brands improve how their content is cited and surfaced in AI-powered search results. It provides automated insights, recommendations, and optimizations across major LLMs.
  • MarketMuse or Frase:
    Analyzes content gaps against competitors and generates LLM-friendly briefs focused on topical authority.
  • Schema App:
    Automates structured data markup implementation at scale.
  • AISEO or SurferSEO:
    Real-time optimization for semantic relevance and E-E-A-T signals.

The 3|SHARE Perspective: Future-Proof Your Strategy

At 3|SHARE, we advise clients to layer LLM SEO atop traditional foundations. For AEM users, this means:

  • Using Adobe’s built-in AI tools to audit content.
  • Enriching AEM components with structured data.
  • Training content teams on E-E-A-T principles.

The brands winning in the AI era aren’t those chasing keywords, they’re the ones teaching LLMs.

Ready to adapt? Contact us for an AEM + LLM SEO audit. Let’s ensure your content remains visible, even when users never click.

Topics: Web Content Management System, AI, LLM, SEO

Martín De Muniategui

As Director of Solutions at 3|SHARE, I leverage my background in Systems Engineering and Executive MBA to scope and design software solutions. Since joining in 2018, first as a PM/BA, now solutioning strategic initiatives, I bridge technical complexity and business vision. Based in Barcelona, Spain and rooted in Argentina.