How to Drive Visibility in LLM-First SEO
AEO + GEO + AIO = New Ranking Stack in 2025
AEO
- Structure content to match user intent
- Use schema markup (FAQ, HowTo, etc.)
- Prioritize featured snippets & zero-click UX
- Align H2/H3s with long-tail search terms
- Add direct, scannable answers per section
- Use LSI keywords + NLP phrasing for clarity
- Insert real PAA questions from live SERPs
- Use tools like GSC + AlsoAsked for gaps
- Track which answers appear in AI results
GEO
- Optimize for AI crawlers, not just bots
- Use comparisons, POVs, and pros/cons
- Add unique value per paragraph, not fluff
- Focus on freshness and narrative clarity
- Add multimedia: charts, tables, infographics
- Link to strong sources, not just internal
- Write intent-based content, not just keywords
- Test visibility in ChatGPT, Gemini, Claude
- Cluster keywords into hub + spoke format
AIO
- Design for real-time AI interaction
- Include tables, visuals, and quick summaries
- Format content for modular reuse + clarity
- Use one-click draft + publish to WordPress
- Create brand-aligned content via guidelines
- Add TL;DRs and follow-up Q&A sections
- Score readability, tone, and AI compliance
- Humanize tone for natural flow and clarity
- Repurpose into multi-format content blocks
Content-to-Citation Pipeline
Search. Structure. Cite.
Frequently Asked Questions
What is AEO + GEO + AIO?
AEO (Answer Engine Optimization) focuses on featured snippets and voice search. GEO (Generative Engine Optimization) focuses on AI citations in ChatGPT/Perplexity. AIO (AI Integration Optimization) focuses on using AI to scale content production. Together they form the new ranking stack for 2025.
Why do these three work together?
They're synergistic: AEO structures content for extraction, making it easier for AI systems to cite (GEO). GEO-optimized content that gets AI citations provides feedback for AIO workflows. AIO scales the production of AEO/GEO-optimized content. Each amplifies the others.
What's the content-to-citation pipeline?
It's a 5-stage workflow: Discover (AI keyword clustering), Analyze (intent + LLM visibility), Structure (SEO-friendly outlines), Draft & Score (AI-assisted creation + QA), Publish (multi-format distribution). This systematic approach ensures content is optimized for AI citation from the start.
How do I test visibility in AI systems?
Regularly test key queries in ChatGPT, Perplexity, Claude, and Gemini. Document which prompts cite your content and which don't. Use tools like Otterly for automated monitoring. Compare your visibility to competitors for the same queries. Track changes over time as you optimize.
What's the difference between SEO and LLM-first SEO?
Traditional SEO optimizes for Google rankings. LLM-first SEO adds optimization for AI citations and recommendations. This means structured answers (not just keywords), AI-friendly formats (tables, TL;DRs), and visibility testing across AI platforms—not just Google.
Should I prioritize AEO, GEO, or AIO?
Start with AEO—it's foundational. If your content isn't structured for snippets and answers, it won't be cited by AI. Then layer GEO tactics (AI testing, citation optimization). Finally, scale with AIO (AI-assisted production). All three matter, but AEO is the foundation.
Ready to Dominate AI Search Results?
Our SEO agency specializes in Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) strategies that get your brand cited by ChatGPT, Perplexity, and Google AI Overviews. We combine traditional SEO expertise with cutting-edge AI visibility tactics.