While brands were busy optimizing for Google, ChatGPT quietly became the eighth most-visited website globally with 4.8 billion monthly visits. Now, instead of scrolling through search results, customers are asking AI for recommendations, and these AI tools are making the decisions about which brands get mentioned.

Think about it… For example, when someone asks ChatGPT “What are the best eyeglass brands?” or “Where should I buy prescription glasses online?”, the AI doesn’t show a list of search results. It gives direct recommendations. If your brand isn’t in that response, you’re invisible to an entirely new generation of customers who are making purchasing decisions through AI conversations.

That’s exactly why we’ve launched a new service providing AI analytics and insights. Consider it “SEO for AI,” where instead of tracking keyword rankings, we measure how often and how positively AI platforms talk about your brand, what questions customers are asking, and most importantly, what changes you need to make to win more AI recommendations and conversions.

AI Is Changing Consumer Search Behavior

The numbers tell a compelling story about how dramatically consumer behavior has shifted. ChatGPT usage alone increased by nearly 70% during the first half of 2025, with shopping-related prompts rising 25% to account for nearly 10% of all AI queries. This means that shopping queries on ChatGPT have doubled in just six months, while traditional search traffic to websites has decreased by 8.9% when AI-generated overviews appear in results.

More striking is the shift in consumer preference: 70% of consumers now turn to generative AI tools for product and service recommendations, surpassing traditional search methods. Meanwhile, 41% of US consumers are interested in using AI-powered search engines specifically for online shopping. These aren’t marginal changes; they represent a fundamental transformation in how customers discover and evaluate brands.

The demographic data reveals this trend will only accelerate. While 80% of Gen Z already uses Google for shopping, they’re increasingly supplementing traditional search with AI for discovery, research, and decision-making. As AI adoption continues expanding (with 85% of enterprises planning to adopt AI agents by the end of 2025), the window for brands to establish a strong AI presence is narrowing rapidly.

What AI Brand Analytics Actually Reveals

Our AI analytics & insights reports provide visibility into how AI perceives, discusses, and recommends your brand across different platforms. Unlike traditional analytics, which show what happens after customers visit your website, AI analytics reveals what’s happening in the crucial moments before customers even know your brand exists.

The most fundamental metric we track is the share of voice, which represents the percentage of AI responses about your industry or product category that mention your brand. This isn’t about how often your brand appears in search results; it’s about how often AI actively recommends or references your brand in organic conversations with users.

Our analysis reveals the disparities in AI visibility. Market leaders in AI conversations often capture 15-25% share of voice in their categories, while competitors struggle with single-digit percentages. The difference between being mentioned in every fifth AI conversation versus every twentieth can represent millions in potential revenue impact.

Sentiment and Positioning Analysis

Beyond frequency, our reports also analyze how AI discusses your brand. Are they mentioning you positively, neutrally, or negatively? What specific attributes do they highlight? What competitive comparisons do they make?

This sentiment analysis reveals crucial insights into positioning. A brand might achieve a high share of voice but consistently be positioned as “expensive” or “slow.” Conversely, a brand with fewer mentions might enjoy overwhelmingly positive sentiment, which creates conversion advantages when it is mentioned.

Query Intelligence and Customer Intent

Perhaps most valuable is our analysis of what questions customers are actually asking AI about your industry. Our reports break down query categories by topic (pricing, features, comparisons, support) and intent (research, purchase, education), revealing the exact conversation contexts where your brand appears or disappears.

This intelligence goes far beyond traditional keyword research. Instead of guessing what customers might search for, you see exactly what they’re asking AI, how those questions are distributed across different intent categories, and which queries drive the most valuable conversations for your industry.

Competitor Analysis

Traditional competitor analysis shows you their website traffic, social media engagement, or search rankings. AI brand monitoring reveals something far more strategic: how often AI recommends your competitors versus your brand, and in what specific contexts those recommendations occur.

This competitive intelligence often reveals surprising market dynamics. Brands that dominate traditional search rankings may have weak AI presence, creating opportunities for competitors to capture AI-driven customer conversations. Conversely, brands with modest traditional visibility might be AI’s preferred recommendations, giving them outsized influence in customer decision-making processes.

The competitive analysis also identifies specific messaging gaps and positioning opportunities. When AI consistently mentions competitors for certain use cases or customer segments, brands can target those exact conversation contexts with content and messaging strategies designed to shift AI recommendations.

Actionable Optimization Strategies

The power of AI brand analytics lies in its specificity. Rather than broad recommendations to “improve brand awareness,” our reports provide precise guidance on content strategies, messaging frameworks, and structural improvements that directly impact the behavior of AI.

For example, our analysis might reveal that AI consistently mentions insurance complexity as a barrier when discussing your brand. The report would identify specific content gaps (step-by-step insurance guides, downloadable claim templates, plain-language explainers) that would shift how AI discusses your brand in customer conversations.

Similarly, if AI consistently positions your brand as “not the cheapest” in price comparisons, our reports provide specific strategies for reframing value propositions, creating cost-of-ownership comparisons, and encouraging customer reviews that emphasize long-term value over initial price.

Our Solution

Our full AI analytics and insights service provides comparative analysis across ChatGPT, Google AI Mode, Perplexity, Gemini, and SearchGPT. This multi-platform approach reveals important strategic insights: your brand might dominate conversations on one platform while being invisible on another, suggesting specific optimization priorities.

The multi-platform analysis also identifies conversation patterns and user behaviors unique to each AI system. Understanding these platform-specific dynamics helps brands tailor their AI optimization strategies to maximize visibility across the entire AI ecosystem.

The beauty of AI brand monitoring is that improvements are measurable and trackable over time. Unlike traditional brand awareness campaigns that rely on surveys and indirect metrics, AI analytics provides direct measurement of recommendation frequency, sentiment changes, and competitive positioning shifts.

Brands can track their AI optimization efforts with precision, measuring the impact of specific content updates on mention frequency, the effect of messaging changes on sentiment scores, and the evolution of competitive positioning as optimization strategies take effect. This creates accountability and ROI measurement that traditional brand-building efforts often lack.

The implementation timeline varies by industry and competitive landscape; however, brands typically see initial improvements in AI recommendations within 60-90 days of optimization efforts. A more significant share of voice gains often requires 6-12 months of consistent optimization across multiple touchpoints.

Looking Forward: Your AI Strategy

As AI adoption continues to accelerate, with 97% of business leaders believing AI will have a positive impact on their operations, brands that optimize for AI visibility early will establish significant competitive advantages. The companies that become AI’s preferred recommendations will benefit from a form of digital word-of-mouth that operates at unprecedented scale.

The brands that start optimizing for AI recommendations today will be the ones that dominate customer conversations tomorrow. The question isn’t whether AI will impact your brand’s visibility; it’s whether you’ll proactively shape that impact or reactively respond to it.

Ready to see what AI brand analytics can reveal? Request a sample AI Analytics & Insights report to explore the type of intelligence these reports provide. We’ll show you the comprehensive analysis framework we use to measure AI visibility, competitive positioning, and customer query patterns, plus demonstrate the specific types of recommendations that help brands capture more AI-driven customer conversations.

Contact us today to see exactly how our reports work and discover what insights you could gain about your own brand’s AI presence.