The generative AI revolution has created a new battlefield for brand visibility—and most content teams are fighting blind.

While everyone's scrambling to optimize for ChatGPT, Claude, and Google's AI Overviews, the fundamental questions remain unanswered:

• Will this topic actually showcase my brand?

• Is the AI pulling live data or relying on outdated training?

• How many competitors am I really up against in this space?

The era of throwing content at AI and hoping it sticks is over.

Today, we're launching three game-changing features that transform Generative Engine Optimization from guesswork into strategic science.

The Problem: GEO strategy is still driven by hunches

In traditional SEO, we learned to be strategic. We target low-competition keywords with high intent and decent search volume. We use tools to understand our chances before we invest.

But in AI optimization? Most teams are still operating on hunches.

You publish comprehensive guides hoping ChatGPT will recommend your tool. You create FAQ content praying Google's AI Overview will surface your expertise. You optimize for queries without knowing if they'll ever trigger AI responses at all.

This changes today.

Feature 1: Product Mention Frequency & Competition Analysis

The insight: Not all AI answers are created equal.

When someone asks ChatGPT "What's the best project management tool?", does it mention one option or ten? Are the same enterprise giants dominating every mention, or is there room for emerging players?

But here's where it gets interesting: What about broader queries like "How can I improve my team's efficiency at work?" Does ChatGPT recommend specific tools here, or stick to general advice?

Our new Product Mention Frequency feature reveals:

• Whether AI systems recommend products for your target queries (both direct and indirect)

• How many tools typically get mentioned (and who they are)

• Your realistic shot at breaking into the conversation

Why this matters: If ChatGPT consistently mentions only Asana and Monday.com for direct tool queries, your chances are slim. But if broader efficiency queries regularly surface 5-7 different solutions? That's an opportunity worth pursuing.

Strategic advantage: Focus your content efforts on "open field" queries where competition is distributed, not dominated—including those broader intent queries where product mentions aren't guaranteed but are possible.

Feature 2: Web Search Frequency Tracking

The insight: Some AI answers are static. Others are dynamic. The difference determines your content strategy.

We now track two critical data points:

ChatGPT & Microsoft Copilot Web Search Patterns

• How often these systems trigger live web searches for your topics

• Whether responses rely on real-time content vs. pre-trained knowledge

Google AI Overview Trigger Rates

• Which queries actually generate AI Overviews

• What content types and sources Google's AI trusts most

Why this matters: Publishing fresh content for a query that never triggers web searches? You're waiting until the next model update for any impact. But if the AI is actively searching, your content could influence results within hours.

Strategic advantage: Time your content efforts to match AI behavior patterns, not your publishing calendar.

Feature 3: Citation Difficulty & Influence Scoring

The insight: Not all citations carry equal weight in AI responses.

When ChatGPT cites Wikipedia alongside a blog post, which source actually shapes the answer? When Reddit discussions dominate a query's citations, how hard is it to break through with branded content?

Our Citation Influence Scoring analyzes:

• Which sources get cited for each query type

• How much each citation influences the final AI response

• The competitive landscape for earning meaningful mentions

Example scenarios:

• High difficulty: Government sites and established Reddit threads dominate

• Medium difficulty: Mix of blog content, documentation, and community discussions

• Low difficulty: Scattered sources with no clear authority leaders

Strategic advantage: Target queries where your content type can realistically earn influential citations, not just throwaway mentions.

The Bigger Picture: Measurable GEO Strategy

These features represent a fundamental shift in how content teams should approach AI optimization.

Instead of creating content and hoping for visibility, you can now:

1. Assess opportunity before investing resources

2. Time your efforts to match AI search patterns

3. Target citation sweet spots where your content can actually influence outcomes

This isn't just about getting mentioned in AI responses—it's about earning mentions that matter.

What This Means for Your Content Strategy

For content marketers: Stop optimizing for every AI query. Start optimizing for queries where you can win.

For SEO teams: Extend your competitive analysis beyond traditional search. Understand the AI citation landscape.

For product marketers: Identify which feature discussions and comparison queries are actually winnable—and which are dominated by established players.

Early Access Available Now

We're rolling out these features to existing Radix users this week, with broader availability coming soon.

The age of strategic, data-driven GEO starts now. Your content—and your competition—will never be the same.

Ready to move beyond guesswork? Talk to us Contact our team] for early access to these features and start building your measurable GEO strategy today.