Question 1

What is LLM SEO?

Accepted Answer

LLM SEO (Large Language Model Search Engine Optimization) is the practice of optimizing your brand and content to be cited and recommended by AI-powered answer engines like ChatGPT, Perplexity, Claude, and Gemini. Unlike traditional SEO which focuses on Google rankings, LLM SEO ensures AI assistants know about and recommend your brand.

Question 2

Which AI platforms do you track?

Accepted Answer

We track citations and recommendations across 6 major AI platforms: ChatGPT (OpenAI), Perplexity, Claude (Anthropic), Gemini (Google), Grok (xAI), and Microsoft Copilot. We continuously add new platforms as they emerge.

Question 3

How does citation tracking work?

Accepted Answer

You define the questions your customers ask AI (e.g., 'What are the best CRM tools?'). We query real AI engines with those prompts daily and analyze whether your brand gets mentioned, what sentiment is used, if you're recommended, and how you compare to competitors.

Question 4

How is this different from traditional SEO tools?

Accepted Answer

Traditional SEO tools track Google rankings, backlinks, and keyword positions. GRRO specifically tracks how AI engines perceive and recommend your brand. AI doesn't use rankings the same way. It uses training data, recency, authority signals, and content structure to decide who to cite.

Question 5

How long until I see results?

Accepted Answer

You'll see your current AI visibility status immediately upon setup. Optimization results vary, but most brands see measurable improvement in citation rates within 4-8 weeks of implementing our content strategy and technical audit recommendations.

Question 6

How does the 90-day guarantee work?

Accepted Answer

On Pro and Enterprise plans, we record your baseline AI visibility score within 48 hours of activation. If you implement 75%+ of our recommended optimizations within 60 days and your score doesn't improve by at least 30% after 90 days, your next quarter is free.

GRRO Blog

Case Study: How a B2B SaaS Brand Went from 0 to 80% AI Recommendation Rate

Case Study: Sheath Went from 38% to 67% LLM Citation Rate in 4 Months

Case Study: How an Ecommerce Brand Captured 12,000 Monthly AI Referrals

Case Study: How Responses Overtook Their Top Competitor in AI Recommendations by Day 52

Case Study: How a Local Business Got Recommended by AI in 60 Days

Case Study: How Spoil Reached 70% Visibility Across 5 AI Engines in 9 Months

Is AI recommending your business?