In June 2026, Google published its official AI Search Optimization Guide (Optimizing your website for generative AI features on Google Search) on Search Central. This is Google's first official guidance on optimizing for generative AI features like AI Overviews and AI Mode.
However, some recommendations in the guide — like "ignore llms.txt" — diverge significantly from conventional GEO practices. This article helps you sort out: which advice to follow, what applies only to Google, and what works across all AI platforms.
Google's Core Stance: AI Optimization = SEO
Google makes it clear: from Google Search's perspective, optimizing for generative AI search is still SEO.
"From Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and that's still SEO."
In other words, Google believes there's no need for "GEO magic" — solid SEO fundamentals are the best AI search optimization.
And that's true — for Google. But other AI platforms operate differently.
What Google Recommends
- Clear technical structure — Ensure content is crawlable and indexable
- Unique, valuable content — E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) remains core
- Structured data — Helps Google understand content context
- Clean site architecture — Clear navigation and internal links
- Mobile optimization — Core Web Vitals still matter
What Google Says to Skip
- "Chunking" content — Strategies that break content into AI-friendly segments
- Unnecessary llms.txt files — The guide calls this an "unnecessary AI text file"
- Inauthentic mentions — Fake citations to game AI systems
The Key Tension: Google's Rules ≠ Every Platform's Rules
Google's guide is clear: it applies only to Google's own AI products (AI Overviews, AI Mode). The AI search ecosystem extends far beyond Google:
| AI Platform | llms.txt Usage | Structured Data | Source Preference |
|---|---|---|---|
| Google AI Overviews | No (explicitly says unnecessary) | High | Authoritative sites |
| ChatGPT (OpenAI) | Yes (reads llms.txt) | Medium | Diverse sources |
| Perplexity | Yes (reads llms.txt) | Medium | Real-time + deep |
| Claude (Anthropic) | Yes (reads llms.txt) | Low | High-quality content |
| Gemini | Yes | High | Google index |
The reality: /llms.txt may not matter to Google, but for OpenAI, Anthropic, and Perplexity, it's a critical entry point for understanding your site. Similarly, "GEO" might just be SEO under a different name for Google, but it represents a fundamentally different optimization logic on other AI platforms.
What Works Across All AI Platforms?
Despite platform differences, there are cross-platform consensus points:
1. Structured Data
All AI models prefer extracting information from structured data. FAQ Schema, Product Schema, and Article Schema work for both Google AI Overviews and ChatGPT.
2. Content Quality (E-E-A-T)
This is the common baseline for Google and every AI platform. High-authority, well-cited content gets referenced more everywhere.
3. Semantic HTML
Clear heading hierarchy and semantic tags (<article>, <section>) help all AI crawlers understand page structure.
4. Speed & Performance
Core Web Vitals affect not just Google rankings but also other AI crawlers' efficiency.
How GetCiteFlow Covers All Platforms
As the founder of GetCiteFlow, my philosophy is: don't optimize for a single platform — cover all AI search engines.
GetCiteFlow's 6-dimension scan covers everything Google recommends AND what non-Google platforms need:
- Structured data detection — Checks if FAQ Schema, Product Schema, Article Schema exist and are valid
- llms.txt validation — Verifies
/llms.txtand/llms-full.txtconfiguration (unimportant for Google, critical for ChatGPT, Perplexity, Claude) - Semantic HTML evaluation — Checks if page structure is AI-crawler friendly
- Content authority analysis — Measures how often your content is cited by authoritative sources
- Performance scanning — Core Web Vitals metrics
- Brand authority — Off-site brand mention analysis
- Multi-format export — One-click export of JSON-LD, Markdown, HTML fixes
Key difference: Google's guide only tells you how to perform better in its own products. GetCiteFlow ensures your content is seen and cited across ALL AI search engines — including ChatGPT, Claude, and Perplexity.
My Recommendation
For Google AI Overviews: Follow Google's official guidance strictly. Solid SEO foundation, structured data, high-quality content.
For other AI platforms: Don't rely solely on Google's advice. Configure /llms.txt, optimize semantic HTML, build cross-platform citation strategies — these work even though Google's guide doesn't mention them.
Best practice: Scan your site with GetCiteFlow to get a cross-platform AI visibility score, then optimize for each platform's specific requirements.
Summary
Google's AI search optimization guide is a valuable reference, but it represents only Google's perspective. In a world with multiple AI search engines, your optimization strategy should cover all platforms — not just Google.
Act now: Visit GetCiteFlow, enter your site URL, and check your AI Visibility Score — optimized for all major AI search engines, not just Google.